#agent

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Open-source AI Agent for VS Code and JetBrains that autonomously solves coding tasks end-to-end.

It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking and chatbot features. For B2B, it becomes a knowledge backbone, storing project context, organizational knowledge, documents, and data sources to power company-wide AI systems.

GREB MCP Server Semantic code search for AI agents without indexing your codebase or storing any data. Fast and accurate. Available on npm (cheetah-greb) and PyPI (cheetah-greb). FEATURES - Natural Language Search: Describe what you're looking for in plain English - High-Precision Results: Smart ranking returns the most relevant code first - Works with Any MCP Client: Claude Desktop, Cursor, Windsurf, Cline, Kiro, and more - No Indexing Required: Search any codebase instantly without setup - Fast: Results in under 5 seconds even for large repositories INSTALLATION Install Greb globally using pip or npm. Python: pip install cheetah-greb Node.js: npm install -g cheetah-greb GET YOUR API KEY 1. Go to Dashboard > API Keys at https://grebmcp.com/dashboard/api-keys 2. Click "Create API Key" 3. Copy the key (starts with grb_) CONFIGURATION Add to your MCP client config (Cursor, Windsurf, Claude Desktop, Kiro, etc.): Python installation: { "mcpServers": { "greb-mcp": { "command": "greb-mcp", "env": { "GREB_API_KEY": "grb_your_api_key_here" } } } } Node.js installation: { "mcpServers": { "greb-mcp": { "command": "greb-mcp-js", "env": { "GREB_API_KEY": "grb_your_api_key_here" } } } } CLAUDE CODE SETUP Mac/Linux (Python): claude mcp add --transport stdio greb-mcp --env GREB_API_KEY=grb_your_api_key_here -- greb-mcp Windows PowerShell (Python): claude mcp add greb-mcp greb-mcp --transport stdio --env "GREB_API_KEY=grb_your_api_key_here" Mac/Linux (Node.js): claude mcp add --transport stdio greb-mcp --env GREB_API_KEY=grb_your_api_key_here -- greb-mcp-js Windows PowerShell (Node.js): claude mcp add greb-mcp greb-mcp-js --transport stdio --env "GREB_API_KEY=grb_your_api_key_here" TOOL: code_search Search code using natural language queries powered by AI. Parameters: - query (string, required): Natural language search query - keywords (object, required): Search configuration - keywords.primary_terms (string array, required): High-level semantic terms (e.g., "authentication", "database") - keywords.code_patterns (string array, optional): Literal code patterns to grep for - keywords.file_patterns (string array, required): File extensions to search (e.g., ["*.ts", "*.js"]) - keywords.intent (string, required): Brief description of what you're looking for - directory (string, required): Full absolute path to directory to search Example: { "query": "find authentication middleware", "keywords": { "primary_terms": ["authentication", "middleware", "jwt"], "code_patterns": ["authenticate(", "isAuthenticated"], "file_patterns": ["*.js", "*.ts"], "intent": "find auth middleware implementation" }, "directory": "/Users/dev/my-project" } Response includes: - File paths - Line numbers - Relevance scores - Code content - Reasoning for each match USAGE EXAMPLES Ask your AI assistant to search code naturally: "Use greb mcp to find authentication middleware" "Use greb mcp to find all API endpoints" "Use greb mcp to look for database connection setup" "Use greb mcp to find where user validation happens" "Use greb mcp to search for error handling patterns" LINKS Website: https://grebmcp.com Documentation: https://grebmcp.com/docs Get API Key: https://grebmcp.com/dashboard/api-keys

Markdown-First MCP Server for Notion - Composite Actions, Auto-Pagination, Bulk Operations optimized for AI Agents

## Features - **Device Control**: GPIO, PWM, sensors, cameras - **Robotic Arms**: Amber B1, Lucid One with gripper support - **Mesh Networking**: Auto-discovery across LAN - **Security**: AES-256 encryption, token auth ## Installation pip install regennexus

# Etsy SEO Generator AI-powered Etsy product listing generator for Claude Desktop Generate perfect SEO titles, descriptions, and tags in seconds --- ## What is this? A Claude Desktop integration that generates complete, SEO-optimized Etsy product listings instantly. Perfect for Etsy sellers who want to: - Save 3+ hours per product listing - Rank higher in Etsy search results - Write compelling product descriptions - Never run out of creative tag ideas ## Quick Start ### A) CLI-only 1) Install and launch ``` npm install -g seerxo seerxo ``` 2) Sign in (recommended) ``` seerxo-mcp login ``` Sign in with Google in your browser and approve; the CLI saves your API key automatically (no manual envs needed). 3) Manual setup (optional) ``` seerxo-mcp configure --email your-email@example.com --api-key your-api-key ``` Use this if you already have an API key and just want to write it locally. ### Sample CLI session ``` SEERXO SEERXO • Etsy SEO Agent • v1.2.53 Describe your Etsy product → get title, description & tags. Interactive mode (help for all commands) • Type a short description of your product • Add a category with "|" (pipe) if you want Boho bedroom wall art set | Wall Art Tip Minimalist nursery wall art in black & white line art. Set of 3 abstract line art prints | Wall Art Quick commands help Show commands status Show config & key state login Open approval link to sign in configure Set email & API key generate Guided prompt (product/category) quit Exit interactive mode [seerxo] › login Requesting SEERXO CLI login... Open this link in your browser to approve CLI login: https://api.seerxo.com/auth/google?redirect=... Waiting for approval... Login approved. Credentials saved locally. You can now run "seerxo-mcp" in Claude Desktop. [seerxo] › generate Product: boho wall art Category (optional): Wall Art Title: Boho Wall Art Set of 3 | Minimalist Line Art Prints Description: ... Tags: boho wall art, line art prints, minimalist decor, ... [seerxo] › ``` ### B) Claude Desktop + MCP 1) Install CLI (same as above) and sign in with `seerxo-mcp login`. 2) Add this to your Claude Desktop config: **macOS:** ~/Library/Application Support/Claude/claude_desktop_config.json **Windows:** %APPDATA%/Claude/claude_desktop_config.json ``` { "mcpServers": { "seerxo": { "command": "seerxo-mcp", "env": { "SEERXO_EMAIL": "your-email@example.com", "SEERXO_API_KEY": "your-api-key" } } } } ``` Note: SEERXO_EMAIL and SEERXO_API_KEY are written to ~/.seerxo-mcp/config.json after CLI login; you can copy from there if you prefer. 3) Restart Claude Desktop Close and reopen Claude Desktop completely. 4) Start Using That's it! Just ask Claude: ``` Generate an Etsy listing for my handmade ceramic coffee mug ``` **Free Tier:** 5 generations per month **Premium:** Unlimited generations - Upgrade at seerxo.com Note: The previous package `seerxo-mcp` is deprecated. Use `npm install -g seerxo`. --- ## Examples ### Simple Request ``` Create Etsy SEO for "vintage leather journal" ``` ### With Category ``` Generate an Etsy listing for handmade candles in the Home & Living category ``` ### With Details ``` I'm selling boho macrame wall hangings. Create an optimized Etsy listing with title, description, and tags. ``` --- ## What You Get Each generation includes: ### SEO Title - Under 140 characters (Etsy requirement) - Primary keywords included - Compelling and click-worthy ### Product Description - Engaging opening hook - Key features and benefits - Usage scenarios - Call-to-action ### 13 Optimized Tags - Mix of broad and specific keywords - Etsy search-optimized - Trending search terms included ### Price Suggestion - Based on similar Etsy products - Market competitive range --- ## Web Interface Prefer not to use Claude Desktop? Try our web interface: **seerxo.com** - Live demo - Instant results - No installation needed --- ## Sample Output **Input:** "Handmade ceramic coffee mug" **Output:** ``` TITLE Handmade Ceramic Coffee Mug | Artisan Pottery | Unique Kitchen Gift | Microwave Safe DESCRIPTION Elevate your morning coffee ritual with this beautifully handcrafted ceramic mug. Each piece is lovingly made by skilled artisans, ensuring no two mugs are exactly alike. The perfect addition to your kitchen collection or a thoughtful gift for coffee lovers. Featuring a comfortable ergonomic handle and smooth glazed finish. Features: • Handmade with premium ceramic • Microwave and dishwasher safe • 12oz capacity • Unique one-of-a-kind design Perfect for daily use or special occasions. Makes an excellent housewarming or birthday gift. TAGS handmade mug, ceramic coffee cup, pottery mug, artisan mug, unique gift, coffee lover gift, handcrafted, kitchen decor, tea cup, housewarming gift, birthday present, ceramic pottery, handmade gift SUGGESTED PRICE $28-$45 ``` --- ## Support - GitHub Issues - support@seerxo.com - seerxo.com --- ## License MIT License - see LICENSE file for details. --- **Built for Etsy sellers by Seerxo**

With built-in powerful tools and agents to automate your email processing.

Open-source RAG platform to build secure, intelligent AI agents for enterprise data.

**SlashMCP** is a production-grade AI workspace that connects LLMs to real-world data and tools through an intuitive chat interface. Built on the Model Context Protocol (MCP), it enables seamless interaction with multiple AI providers (OpenAI, Claude, Gemini) while providing powerful capabilities for document analysis, financial data queries, web scraping, and multi-agent workflow orchestration. ### Key Features: - **Multi-LLM Support**: Switch between GPT-4, Claude, and Gemini at runtime—no restart needed - **Smart Command Autocomplete**: Type `/` to discover and execute MCP server commands instantly - **Document Intelligence**: Drag-and-drop documents with automatic OCR extraction and vision analysis - **Financial Data Integration**: Real-time stock quotes, charts, and prediction market data via Alpha Vantage and Polymarket - **Browser Automation**: Web scraping and navigation using Playwright MCP - **Multi-Agent Orchestration**: Intelligent routing with specialized agents for command discovery, tool execution, and response synthesis - **Dynamic MCP Registry**: Add and use any MCP server on the fly without code changes - **Voice Interaction**: Browser-based transcription and text-to-speech support ### Use Cases: - Research and analysis workflows - Document processing and extraction - Financial market monitoring - Web data collection and comparison - Multi-step task automation **Live Demo:** [ slashmcp.vercel.app ]( https://slashmcp.vercel.app ) **GitHub:** [ github.com/mcpmessenger/slashmcp ]( https://github.com/mcpmessenger/slashmcp ) **Website:** [ slashmcp.com](https://slashmcp.com )

A production-ready MCP server that exposes LangChain agent capabilities through the Model Context Protocol. Provides multi-step reasoning with ReAct pattern, tool support (web search, weather lookup), and is deployed on Google Cloud Run for scalable, serverless operation.

MCP of MCPs is a meta-server that merges all your MCP servers into a single smart endpoint. It gives AI agents instant tool discovery, selective schema loading, and massively cheaper execution, so you stop wasting tokens and time. With persistent tool metadata, semantic search, and direct code execution between tools, it turns chaotic multi-server setups into a fast, efficient, hallucination-free workflow. It also automatically analyzes the tools output schemas if needed and preserves them across sessions for consistent behavior. In short: 🚀 Faster automation 🧠 Cleaner reasoning 💰 Drastically fewer tokens 📦 Persistent + analyzed schema metadata

Fabi is a sophisticated analyst agent that independently handles data analysis tasks. Simply delegate tasks in natural language - Fabi will autonomously: - Discover and inspect schemas using RAG - Find relevant tables/columns with semantic understanding - Generate and validate SQL/Python code - Execute queries with error handling - Format and preview results

a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs — all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.

Enables PowerShell console to function as an MCP server for Claude Desktop.

Generate professional and complex videos with Scrptly's Ai Video Agent. Type a video prompt and provide some context images (optional) to generate high quality videos that can last multiple minutes with various scenes, narration and most importantly consistent characters, environments and objects.

Agentic Long Term Memory based on a proprietary pattern engine. Faster recall than vector databases and more deterministic.

AgentPMT - Empowering AI Agents with Secure Payment Capabilities AgentPMT is the essential infrastructure layer that connects autonomous AI agents to the global digital economy. As businesses increasingly rely on AI agents to handle complex tasks, we solve a critical challenge: enabling these agents to securely transact and pay for services while maintaining human oversight and control. Our Platform Features: Secure Digital Wallets: Automatically deployed wallets using Circle's enterprise infrastructure with institutional-grade security USDC Integration: Leverage the world's largest regulated digital dollar with 1:1 USD backing for stable, reliable transactions Granular Budget Controls: Create multiple budgets from a single wallet with customizable spending limits, vendor whitelists, and service restrictions Instant Settlement: Near-instantaneous blockchain payments on Base (Layer 2 Ethereum) with minimal fees and complete transparency Easy Integration: Connect in under 10 minutes via MCP installer for Claude Desktop or direct API integration with any LLM Verifiable Records: Every transaction is recorded on-chain, providing immutable audit trails and complete accountability Use Cases: Whether your AI agent needs to purchase data feeds, pay for API calls, order supplies, or access premium services, AgentPMT provides the secure payment layer that makes it possible. Our vendor marketplace connects agents to a growing ecosystem of AI-enabled services without requiring separate accounts or subscriptions. Built for the Agentic Economy: As we enter an era where AI agents become essential business partners, AgentPMT ensures these digital workers can operate effectively in the real world. We're not just processing payments – we're enabling a future where human creativity and AI capability combine to achieve unprecedented productivity.

MCP server that enables LLM clients to interact with macOS applications through AppleScript. Built using the @beyondbetter/bb-mcp-server library, this server provides safe, controlled execution of predefined scripts with optional support for arbitrary script execution.

AI-powered product search across Shopify, WooCommerce & Shopware 6. Features: intelligent price negotiation, automatic discount codes, multi-LLM support (6 providers), thread-based conversations, 12 currencies. Build AI shopping assistants and price comparison tools. Free to use with no fees or commissions.

Please run `uv pip install pptagent` first

本插件为 Model Context Protocol（MCP）提供了企业级 OpenAPI 文档能力，自动聚合并标准化 企业微信 与 飞书 等的开放接口文档。 通过统一上下文调用、搜索和补全，开发者可在无需频繁查阅官网文档的情况下，快速获取接口定义、请求参数、响应结构及权限要求。 适用于构建企业内部集成、自动化工作流、Bot/Agent 开发等高频 API 使用场景。

Pantheon-MCP enables agents to match each task with a tailored instructions set (agent definition) automatically.

Kiln is a free tool for building production-ready AI systems. It supports RAG pipelines, evaluations, agents, MCP tool-calling, synthetic data generation, and fine-tuning. - Seamlessly connect agents and tools through MCP servers/interfaces - Build, fine-tune, and run models locally or remotely - Generate synthetic data, orchestrate evaluations, and manage datasets - Collaborate across technical and non-technical stakeholders via Git-based workflows - Use a free, open source Python library to embed Kiln into your own systems - Maintain data privacy: Kiln runs locally; external APIs are called only via your own keys **Website / Docs:** https://kiln.tech

Agentic assistant that handles the complexity while you focus on results. With MCP support and advanced Orchestrator/Agent capabilities, BB connects to hundreds of external data sources & tools and breaks down complex tasks for maximum efficiency.

The graph augmented, smart and local-first Personal Context Manager, or Personal Agent Memory, just works. Nowledge Mem ingests your agent’s summarized memories through its MCP tools or prompts, enabling you to enhance your memory and knowledge using a GraphRAG approach. By leveraging LLMs, embedding models, BM25, graph algorithms, and a built-in knowledge graph, Nowledge Mem makes building, searching, and exploring your personal knowledge easier than ever.

A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.

The AX-platform provides a unified platform for connecting and orchestrating multiple AI agents using the Model Context Protocol (MCP). Users bring their own agents and models (BYOA), register them via the PaxAI dashboard, and link them through secure, short-lived tokens. Once connected, agents can post messages, collaborate on structured tasks, and participate in shared workspaces. PaxAI enables remote agent control, cross-agent workflows, and scalable multi-tenant collaboration, making it the foundational layer for MCP-based ecosystems.

Guepard is an agent-native data platform that brings Git-style versioning to databases. It enables instant branching, safe snapshots, and full time-travel capabilities so developers and AI agents can explore, test, and collaborate on data without fear of corruption or downtime.

Android Mobile MCP bridges the Model Context Protocol with Android device automation, enabling AI agents to interact with Android devices through UI manipulation, app management, and screen capture.

# Transform any MCP-compatible LLM into a codebase expert through semantic intelligence A blazingly fast graphRAG implementation. 100% Rust for indexing and querying large codebases with natural language. Supports multiple embedding providers: modes cpu (no graph just AST parsing), onnx (blazingly fast medium quality embeddings with Qdrant/all-MiniLM-L6-v2-onnx) and Ollama (time consuming SOTA embeddings with hf.co/nomic-ai/nomic-embed-code-GGUF:Q4_K_M). I would argue this is the fastest codebase indexer on the Github atm. Includes a Rust SDK made stdio MCP server so that your agents can query the indexed codegraph with natural language and get deep insights from your codebase before starting development or making changes. Currently supports typescript, javascript, rust, go, Python and C++ codebases. 📊 Performance Benchmarking (M4 Max 128GB) Production Codebase Results (1,505 files, 2.5M lines, Python, Javascript, Typescript and Go) 🎉 INDEXING COMPLETE! 📊 Performance Summary ┌───────────────. ─┐ │ 📄 Files: 1,505 indexed │ │ 📝 Lines: 2,477,824 processed │ │ 🔧 Functions: 30,669 extracted │ │ 🏗️ Classes: 880 extracted │ │ 💾 Embeddings: 538,972 generated │ └───────────────. ─┘ Embedding Provider Performance Comparison Provider Time Quality Use Case 🧠 Ollama nomic-embed-code ~15-18h SOTA retrieval accuracy Production, smaller codebases ⚡ ONNX all-MiniLM-L6-v2 32m 22s Good general embeddings Large codebases, lunch-break indexing 📚 LEANN ~4h The next best thing I could find in Github CodeGraph Advantages ✅ Incremental Updates: Only reprocess changed files (LEANN can't do this) ✅ Provider Choice: Speed vs. quality optimization based on needs ✅ Memory Optimization: Automatic optimisations based on your system ✅ Production Ready: Index 2.5M lines while having lunch Read the README.md carefully the installation is complex and requires you to download the embedding model in onnx format and Ollama and setting up multiple environment variables (I would recommend setting these in your bash configuration)

Tool to Prevent AI tunnel-vision in critical workflows. Vibe Check MCP v2.5 introduces Chain-Pattern Interrupts (CPI) to enhance your infrastructure stack. mitigates over-engineering, scope creep, and misalignment by injecting Socratic checkpoints into agent reasoning. - Supports Gemini API, OpenRouter and OpenAI models. - Logs errors for continuous improvement. - Trusted by 11k+ developers. - Strong CI and Security testing protocol built in. Integrate this metacognitive guardrail into your blockchain, data pipelines, or agent-development stacks for robust AI safety and alignment. Visit https://pruthvibhat.com/work/vibecheck-mcp/ for more details. Links: https://murst.org/ https://pruthvibhat.com/ Author: Pruthvi Bhat Tags: metacognition, CPI, AI-safety, agent-frameworks, infrastructure-tools,

Give coding agents the ability to understand dependencies.

Minimal MCP (Model Context Protocol) HTTP server for AGENTS.md and structured tasks, with versioned history (logs/revert) and an ephemeral scratchpad, exposed over a Streamable HTTP endpoint. The scratchpad can also be used to spawn context isolated subagents (via Gemini, OpenAI, Groq, OpenAI‑compatible, or MCP + OpenAI‑compatible) for solving focused tasks. An auth midware is also provided for user isolation and public serving. Users can also share and collaborate on projects within the server. With this context management system, the main agent retains memory across sections, but being hyper focused on the task at hand.

A remote-hosted and fully-controllable browser for your AI agent.

A powerful, intelligent shell assistant powered by local AI models through Ollama. Shell AI brings advanced AI capabilities directly to your terminal, enabling natural language interaction with your file system, shell commands, and development workflow.

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features. The MCP server currently supports the below Cortex AI capabilities: - Cortex Search: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. - Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. - Cortex Agent: Agentic orchestrator across structured and unstructured data retrieval

The Universal Hub for AI Agents aX Platform lets you bring any agent — regardless of framework — into a shared, secure workspace. Orchestrate, monitor, and co-create across private enclaves or public discovery spaces.

Crawlbase Web MCP Server (Model Context Protocol) connects AI agents and large language models (LLMs) with real-time web data. Built on Crawlbase’s proven web scraping and crawling infrastructure, it handles JavaScript rendering, anti-bot protection, and web data extraction at scale — powering Claude, Cursor, and Windsurf. It delivers a reliable, production-ready pipeline of live, structured data for AI workflows and intelligent applications.

AgentBay is a cloud infrastructure designed for AI agents, providing enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. It leverages Alibaba Cloud's Wuying technology to offer secure and efficient computing experiences.

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.

AgentBay is a cloud infrastructure designed for AI agents, providing enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. It leverages Alibaba Cloud's Wuying technology to offer secure and efficient computing experiences.

MCP server for Roll Docker Stack and multi-framework development environments.

WooCommerce MCP Server Plugin (no external server needed): Connect your WooCommerce store to AI assistants like Claude and VS Code. This WordPress plugin enables AI clients to access your store's product catalog, categories, reviews, and content through a secure, read-only interface. MCP for WooCommerce transforms your WordPress site into an AI-accessible data source built on Automattic's official WordPress MCP. It safely exposes public store information—products, categories, tags, reviews, shipping options, and WordPress content—while protecting customer data and private details. Perfect for building AI-powered shopping assistants or integrating with custom AI applications.

Overview Alibaba Cloud's Wuying AgentBay is a cloud infrastructure designed for Agents in the AI era. It provides enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. Through the Wuying API or AgentBay MCP Server, Agent applications can quickly integrate and utilize relevant tools, running serverlessly in the cloud environment. What is Wuying? Wuying (无影), also known as Alibaba Cloud Workspace, is Alibaba Cloud's innovative cloud-network fusion computing architecture that provides secure and efficient computing experiences through cloud computers, cloud applications and cloud terminals. It features: Strong security Zero maintenance Light asset management Easy integration Global deployment with low-latency access What is AgentBay? AgentBay is Wuying's cloud infrastructure specifically designed for AI Agents. It provides: One-click configurable AI Agent task execution tools Secure execution environments Enterprise-grade infrastructure for developers and AI vendors Quick integration through SDK and MCP Server Serverless capabilities Key Features Standard Runtime Environment Pre-integrated standard tools for Agent task execution MCP (Model Context Protocol) encapsulation Rapid enterprise integration capabilities User State Persistence Secure isolation of user configurations and cookies Dynamic mounting of user states Cloud environment closely mimicking local setup Real-time Edge-Cloud Interaction Proprietary ASP protocol for real-time edge-cloud streaming Local device awareness and control Network and peripheral redirection channels Technical Architecture Persistent System: Custom persistent memory to retain user states and files Edge-Cloud Communication: Proprietary ASP protocol for real-time communication between the cloud and terminal devices Infrastructure: Provides the ability to scale to 10,000 concurrent operations in seconds, based on Alibaba Cloud's resource pool Service Model: Serverless capabilities with one-click environment session management Tool Integration: Browser, File, Terminal, and other standard MCP tools Integration Options: SDK+API or MCP Server compatibility Cloud Service Specifications Cloud Resources The service supports calling shared resources, with limited free service during the public beta, and a concurrency limit of 10 instances. Service regions are automatically assigned based on customer access IP. Runtime Environment The service supports built-in Linux version images. Wuying continuously enriches and updates image capabilities while ensuring backward compatibility. MCP Tools The initial release environment supports the Browser tool, File tool, and Terminal tool by default. For more updates on tools, please visit the official site. Getting Started Step 1: Create an API Key Please create your own API Key. Log in to the AgentBay Console. Click Service Management in the left navigation bar. On the Service Management page, click Create API KEY. Enter a name in the Create API KEY dialog box and click OK. Note: During the public beta, only 10 API Keys can be created. The created API Key will be displayed in the list on the service management page, and you can copy it for later use. Step 2: Complete MCP Service Configuration Confirm the runtime environment and obtain MCP information. Log in to the AgentBay Console. Click Configure Resources in the left navigation bar. Select an API Key you created from the API Key dropdown list. Select an image from the Select Image dropdown list. Note: The service supports built-in Linux version images. Wuying continuously enriches and updates image capabilities while ensuring backward compatibility. On the right side of Tool Capabilities and Interface, check available MCP tools. Click View to see more details. In the Obtain MCP Information text box, click Copy Code in the top right corner, and add the code to tools that support MCP (such as Cline, Cursor, etc.). Here's an example using Cursor V0.48.9: Open the Cursor Settings panel and click MCP in the left navigation bar. In the MCP Servers panel, click Add new global MCP server in the top right corner. Paste the following code into the opened mcp.json file and save it. Supported installation methods include SSE and STDIO. Note: Please replace YOUR_API_KEY with the API Key starting with akm- created in Step 1. Here's an example using the SSE method: The SSE method completes a handshake through an online long connection each time the service is run, without requiring plugin downloads. { "mcpServers": { "wuying_mcp_server": { "url": "https://agentbay.wuying.aliyun.com/sse?APIKEY=YOUR_API_KEY" } } } After the task execution is completed, the cloud environment may be released. If you wish to retain related configuration or environment for next time, add the EXTERNALID parameter in the code above. Example: { "mcpServers": { "wuying_mcp_server": { "url": "https://agentbay.wuying.aliyun.com/sse?APIKEY=YOUR_API_KEY&EXTERNALID=user001" } } } Step 3: Using Screen Streaming (Optional) Support is provided for opening cloud computer screens through the Wuying Web SDK embedded in an iframe or by pulling the Wuying Web client via a browser. When calling the cloud computer screen stream, MCP will return a link with login parameters, formatted as https://wuying.aliyun.com?mcp.html?authcode=<authCode>&resourceId=<resourceId>. This link has validity and open limits, and it is recommended to use it immediately. You can configure keyboard and mouse interaction switches through the parameters &input=true&keyboard=true in the URL, or configure interaction switches in real time through the Web SDK interface. For detailed information, please refer to Web SDK Documentation。 Next Steps You can test the effect using built-in prompts like open the browser with wuying-agentbay and access wuying.aliyun.com or similar prompts. If configured correctly, the Wuying cloud environment will be initiated, and browser operations will be executed. During this process, the model will provide a Web link for you to open the Wuying screen stream and take over operations. Next Steps License MIT Support For support and more information, please visit: Alibaba Cloud Wuying Documentation AgentBay Product Page

Remote browser instances for your AI agents. Reliably complete any browser-based task at scale. Fully-control agentic browsers that spin up in seconds.

The first MCP-integrated cloud sandbox for running AI-generated code at scale. AgentSphere empowers you to spin up isolated execution environments in seconds and integrate seamlessly with your MCP clients.

🚀 The ONLY browser automation that bypasses Cloudflare, antibots, and social media blocks. Supercharge any MCP-compatible AI agent with undetectable, real-browser automation. No CAPTCHAs. No blocks. Just results.⚡ 30-second setup • 🛡️ Undetectable by design • 🏆 98.7% success rate on protected sites • 🕵️ Full network debugging via AI chat Features: Works on protected sites that block traditional automation- Pixel-accurate element cloning via Chrome DevTools Protocol - Full network debugging through AI chat — see every request, response, header, and payload- Your AI agent becomes a network detective — no more guessing what APIs are being called- 🎛️ Modular architecture — disable unused sections, run minimal installs- ⚡ Lightweight deployments — from 21 core tools to full 88-tool arsenal- Clean MCP integration — no custom brokers or wrappers needed- 88 focused tools organized into 11 logical sections

🌞 A dedicated MCP server purpose-built for agent conversation summarization.

All-in-one MCP server that can connect your AI agents to any native endpoint, powered by UTCP

Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.

Production-ready MCP Server for AI agents with cryptocurrency payments, blockchain data, and market analysis capabilities. Supports USDT payments (TRC20/ERC20), real-time price data, and enterprise-grade security.

CryptoWeather MCP Server provides real-time Bitcoin price prediction signals from the CryptoWeather AI system. Get hourly updated trading signals, performance metrics, and AI-driven market insights directly in your Claude conversations.

A Model Context Protocol server that wraps the Chatvolt API, providing tools to manage agents, datastores, and CRM workflows. This is a TypeScript-based MCP server that provides tools to interact with Chatvolt.

A simple MCP server that lets your AI agent see and capture the web.

This MCP Server transforms Pega Infinity™ interactions into intuitive, conversational experiences through the Model Context Protocol. By bridging Pega DX APIs with natural language interfaces, it enables GenAI Agents, IDEs, and other MCP-enabled tools to interact with Pega Infinity™ applications using simple, human-readable commands.

Screeny is a privacy-focused macOS MCP server enabling AI agents to capture screenshots of user-approved windows

What is Buena.ai? Buena.ai provides cutting-edge LinkedIn automation, lead management, and prospecting capabilities with user-specific authentication and granular permissions. Our API enables you to:

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Explore the new era of memes with AI, where fun and AI come together

Build and automate your own AI team. Just like building a website with vibe coding, build your AI team the same way. Automation, analytics, execution — your custom AI agents handle it all for you. Zentrun lets you vibe-code real, executable AI agents. With a single sentence, you create actions that run, remember, analyze, and evolve — powered by MCP and designed for automation at scale.

This project exposes the powerful Chepy data transformation library as an MCP server. It allows you to access Chepy's tools (like encoding, decoding, and data manipulation) via a single flexible API: the bake pipeline tool, inspired by CyberChef.

QuerySculptor is a GraphQL query builder designed for AI agents that provides 26 structured tools via the Model Context Protocol (MCP). Instead of generating complex GraphQL queries from scratch, AI agents can build queries step-by-step with real-time validation, schema introspection, and error prevention. It works with Claude, Cursor, and other MCP clients, using Redis for session management and featuring a live demo with the Pokemon API. The tool transforms the traditional error-prone approach of raw GraphQL generation into a guided, conversational workflow perfect for AI assistants and chatbots.

This project exposes the powerful Chepy data transformation library as an MCP (Model Context Protocol) server. It allows you to access Chepy's tools (like encoding, decoding, and data manipulation) via a single flexible API: the bake pipeline tool, inspired by CyberChef.

今日投资金融MCP Server 借助今日投资全周期MCP服务，一键连接，赋能AI Agent能力，打造精准、可靠、专业、全天候的金融大脑。 MCP列表 股票市场 股票基础 股票行情 板块行情 指数行情 新闻资讯 研究报告 访问 https://data-api.investoday.net/mcp 查看更多的MCP Server并申请使用。

ComIDP MCP Server is a lightweight Model Context Protocol (MCP) server designed for seamless integrating ComIDP with AI chatbots, providing unstructured document processing functionalities, such as extracting data from PDF files. The service returns results in structured plain-text format, enabling downstream processing or archival.

Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes. See https://markdown2pdf.ai for more.

Agents speak Markdown. Humans prefer PDF. We bridge the gap for the final stage of your agentic workflow. No sign-ups, no credit cards, just sats for bytes. Markdown is easy for AI agents to work with, but not so great for humans. We help agents transform their output into beautiful PDFs for human consumption. L402 and MCP native API - pay per call with sats, no OAuth, API keys or rate-limits. Send markdown, get back a PDF. No subscriptions or hidden tiers. Learn more at markdown2pdf.a

Model Context Protocol server for kwrds.ai keyword research and SEO tools.

The Agentipy MCP Server is an open-source Model Context Protocol (MCP) server that enables Claude AI to interact with the Solana blockchain. It provides a standardized interface for AI agents to perform various blockchain operations, including transactions, wallet management, and data queries.

A2AMCP is a Agent2Agent MCP communication Server taking the concept from Google's Agent2Agent Protocol (A2A)

A reference implementation of the SchemaPin protocol for cryptographically signing and verifying AI agent tool schemas to prevent supply-chain attacks.

An OpenStack MCP server PoC

Multi-Agent AI Orchestration Workshop

an mcp server with candle inference

Intelligent Data Analysis & Reporting Agent

An MCP Server powered by Searchcraft – the developer-first vertical search engine.

Model–Context–Protocol (MCP) Server A modular, extensible Rust-based server providing short-term, long-term, and latent memory services, a chat endpoint backed by a BaseAgent + Sentience DSL, and seamless integration with ChromaDB and LLM services.

Open-source, modular “brain” for AI employees. Integrates with n8n and workflow engines, features persistent agent memory, natural language interface, and feedback loops. SaaS-ready, extensible, and easy to deploy with Docker.

GitHub AI Agent powered by official GitHub MCP Server. Uses LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY Slim, Google A2A, MCP Server)

A full-featured Model Context Protocol (MCP) server that exposes Ensembl’s REST API. Built using the TypeScript MCP SDK

AgenticMaid is a Python library designed to interact with one or more Multi-Capability Protocol (MCP) servers.

An MCP Server to control an agent in AI2Thor

MCP server to add container superpowers to your AI agent

Reusable MCP server setup to augment AI coding agents with specific repo guidelines

Demo application showcasing how to build and secure MCP servers and clients with Pomerium using contextual access policies.

This is a Multi agent that utilizes MCP server to communicate and also Uses Azure Cloud Service

AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.

Atlassian (Jira/Confluence) AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)

Vibetest MCP - automated QA testing using Browser-Use agents

MCP Sandbox transforms JavaScript modules into secure MCP servers, enabling AI systems to access functions safely. With automatic reflection and type inference, it simplifies the integration process for developers. 🛠️💻

Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.

a light weight version of mcp sdk inspired by official model context protocol sdk, NOW focus on sse only no stdio

ArgoCD AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)

A compilation for all the available bio agent

The Model Context Protocol (MCP) server that enables AI agents like Claude Desktop to interact with the Knotie AI Pro platform for automated customer and voice AI agent management.

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AgentNull: AI System Security Threat Catalog + Proof-of-Concepts. Collection of PoCs for using Agents, MCP, and RAG in bad ways.

The unified MCP server platform for production AI agents. Enterprise-grade authentication, monitoring, and deployment in minutes.

Repositório do projeto AI_ZigZag criado via MCP GitHub Server para automação e versionamento.

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

MCP server to add container superpowers to your AI agent

MCP server that provides AI agents with access to Celo blockchain data and functionality

An AI agent powered by cline.bot designed to solve Capture The Flag (CTF) challenges on a Kali Linux virtual machine via an MCP Server.

MCP Server generated by mcp.ag2.ai

A GO based MCP server for use with AmazonQ or any other MCP capable LLM Agent

Official AI SDK by Ampersand