#LLM

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

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.

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Web content fetching and conversion for efficient LLM usage

Markdown-first Notion MCP server — 26 tools, 92% fewer tokens, full round-trip fidelity

Tamper-evident cryptographic audit trail for LLM outputs. Compliance logging for AI agent decisions. Tools: dcl_commit, dcl_verify, dcl_get_chain, dcl_report. Requires API key from fronesislabs.com

AI-powered credit optimization for Manus AI. Automatically analyzes each prompt and routes to the cheapest capable model (Standard vs Max, Agent vs Chat mode). Saves 30-75% on Manus credits with zero quality loss. Tested across 53 real-world scenarios. Free and open-source.

AI payment router for agents. Route 300+ LLMs via cost/quality/speed/balanced modes, enforce session budgets, and settle per-request in USDC on Base via x402 micropayments. 6 tools: p402_chat, p402_create_session, p402_get_session, p402_list_models, p402_compare_providers, p402_health. 1% flat fee. TypeScript, cloud-hosted.

Compresses large blocks of text, code, or conversation history into hyper-dense Reasoning Maps optimized for LLM context windows. Saves agents 80%+ on token costs. Stateless. Pay $0.001 USDC per compression via x402 on Base network.

Real-time AI behavioral drift monitoring. 37 tools tracking 11 LLM models with 9-score scorecards, silent version change detection, immune threat assessment, and compliance reporting. Free tier, no API key required.

The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track what your agents are actually doing and costing you. Real-time dark-mode dashboard, OpenTelemetry-compatible span structure, self-hosted with SQLite. MIT licensed.

Access 47 AI models and 30 services via MCP. LLM, image gen, video, speech, embeddings, reranking, PDF parsing & more. Pay-per-use with x402 (USDC) or API key.

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

CP Log Analyzer automatically triages your log files using a local AI model. It scans for errors, deduplicates repeated events, analyses root causes using Ollama (deepseek-r1:14b), and files structured GitHub Issues — all running on your own machine with zero data sent to external servers.

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 71+ tools across 12 servers — from local weights, not from cloud.

Returns the optimal LLM for any task based on real-time pricing, latency, and quality data across 13 models from Anthropic, OpenAI, Google, Meta, Mistral, and DeepSeek. Helps agents reduce costs by routing to the cheapest capable model. $0.01/query via x402 (Solana USDC). Free health and discovery endpoints.

Web fetching, search, and structured data extraction API built for AI agents. Fetch any page as clean markdown, raw HTML, or JSON-LD. Search the web and news across 20+ countries. One credit per request, no tiers, no subscriptions. 500 free requests on signup.

Free AI security & productivity tools — prompt injection tester, PII redactor, code sanitizer, context budget planner, model picker, and more. 6 tools available via MCP, all stateless and no auth required.

Autopilot AI orchestration — describe your intent, orchex auto-generates a plan, parallelizes it into streams with file ownership enforcement, self-heals failures, and routes across 6 LLM providers (Claude, OpenAI, Gemini, DeepSeek, Ollama, AWS Bedrock).

Save 30-75% on Manus AI credits with ZERO quality loss. Intelligent model routing (Standard vs Max), smart testing, section-by-section processing for long content, context hygiene, and 12 vulnerability patches. Audited across 22 real-world scenarios. Works as a Manus Skill that auto-analyzes every prompt before execution.

Scrape any webpage as clean Markdown and extract YouTube transcripts. Enterprise grade infrastructure at $0.001 per request.

Access 627+ AI models with one API key. Chat with GPT-5/Claude/Gemini, generate images with DALL-E 3/Midjourney/Flux, create videos with Sora 2/Kling/Veo 3, compose music with Suno V4, and more — all through MCP.

Config-driven MCP proxy that adds session-safe file uploads, artifact handling, and robust state and health controls for upstream MCP servers.

The Global Price Benchmark for AI Inference. AI inference pricing intelligence delivered as a native tool for AI agents. Query the world's most comprehensive inference price database: 1,600+ SKUs, 40+ vendors, 6 modalities, 25 AIPI indexes. Search models, compare cross-vendor pricing, access market benchmarks and KPIs. Independent. Transparent. Free tier included.

Real-time news events, clustered by AI from hundreds of sources, classified by topic and geography, ranked by importance. Free. No API key. One command to install.

MCP server for prompt engineering: optimize prompts for better AI responses, analyze quality scores, convert between formats, generate system prompts, and access prompt templates. 6 tools on Cloudflare Workers.

MCP server that converts any URL to clean, token-efficient Markdown for AI agents. Strips ads, navigation, and scripts. Supports CSS selectors, batch processing (10 URLs), and token counting.

Fully decentralized P2P web search engine for LLMs. No API key, no billing, unlimited free search via MCP. Crawls, indexes, and searches the web through a peer-to-peer network. Features offline local search, credit-based incentives, privacy-first design, and 5 MCP tools: search, search_local, fetch_page, crawl_url, network_stats.

MCP server for the CI-1T prediction stability engine. 20 tools + 1 resource. Evaluate model stability, probe any LLM for instability (BYOM - bring your own model), manage fleet sessions, detect drift, generate visualizations, and control API keys. 7 tools work locally with no auth or credits. 1,000 free credits on signup.

Hierarchical memory for AI agents. Three-layer (buffer/working/core) with automatic decay, promotion, and semantic search.

Temporal Cortex is a Model Context Protocol server that gives AI agents deterministic calendar capabilities — temporal context, datetime resolution, multi-calendar availability merging across Google Calendar, Microsoft Outlook, and CalDAV, and conflict-free booking with Two-Phase Commit. Powered by Truth Engine. Install: npx @temporal-cortex/cortex-mcp.

Search and compare LLM test cases with real benchmark data. Find use cases by scenario, view model rankings, and evaluate performance—all through natural language.

Persistent project memory for LLMs. Never re-explain your project again.

A production-grade Model Context Protocol (MCP) server for Microsoft SharePoint. Connect Claude Desktop, VS Code Copilot, Cursor, Continue, or any MCP-compatible AI agent to your SharePoint — read files, manage folders, and reason over your organisation's knowledge.

Context Rot Detection & Healing — gives AI agents self-awareness about their cognitive state by analyzing token utilization, quality degradation, and session fatigue. Returns health scores (0-100), model-specific degradation curves for 15+ models, lost-in-the-middle risk scoring, and actionable recovery recommendations.

Give your AI agent unblockable browser access. Aluvia routes traffic through premium mobile carrier IPs to bypass 403s, CAPTCHAs, and WAFs automatically.

Reduce LLM token usage by 50-70% when sending structured data. TOON (Token-Oriented Object Notation) converts JSON, CSV, XML, YAML, and HTML tables to a compact header-based format. Save $489-$9,789 per 1M requests depending on model.

Web scraping MCP server for AI agents. Bypass anti-bot systems and get clean, LLM-ready Markdown content. Supports both stdio and Streamable HTTP transports. Built on 8+ years of production scraping infrastructure.

ShellGuard is an MCP server that lets LLM agents securely SSH into remote Linux hosts with read-only shell access. Instead of copy-pasting terminal output, your AI can run safe diagnostics, inspect logs, query systems, and troubleshoot production, staging, or dev environments autonomously. All commands are parsed, validated against a strict allowlist, and executed with timeouts and output limits—blocking destructive operations while guiding the LLM to safe alternatives.

Access 20+ DeFi, crypto, and AI endpoints through micro-payments. Get Aave rates, build DeFi transactions, fetch crypto prices, resolve ENS names, search Twitter, and query LLMs — all paid per-call with USDC on Base. No API keys needed, payment is the auth

Persistent semantic memory for Claude Code, chats AND code. 74+ MCP tools, local pgvector embeddings, codebase indexing with 14 language extractors, multi-agent team coordination. Self-hosted, zero cloud dependency.

Query multiple LLMs in parallel from AI coding tools. Ask a question to OpenAI, Gemini, Groq, or any OpenAI-compatible API — and CLI agents like Claude Code, Codex, and Gemini CLI — then compare answers, run consensus votes, structured debates, and judge evaluations. Rubber duck debugging, but the ducks talk back.

Security scanner MCP server that protects AI coding agents from generating vulnerable code. Uses tree-sitter AST analysis to detect OWASP Top 10 vulnerabilities, hardcoded secrets, and prompt injection attacks. Includes package hallucination detection across 4.3M packages (npm, PyPI, RubyGems, crates.io, pub.dev, CPAN, Raku). Works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-compatible client. Full feature list (for detailed descriptions): • 275+ security rules covering Python, JavaScript, TypeScript, Java, Go, Ruby, PHP, C/C++, Rust, C#, Terraform, Kubernetes • AST-based detection with tree-sitter (falls back to regex when unavailable) • Taint analysis for tracking user input to dangerous sinks • Package hallucination detection: verifies 4.3M+ packages across 7 ecosystems • Prompt injection detection: blocks exfiltration, jailbreaks, and malicious instructions • Automatic fix suggestions for common vulnerabilities • Zero config: works instantly with npx • CWE/OWASP metadata for compliance reporting

MCP server for GStreamer introspection and pipeline development. Helps LLMs understand GStreamer elements, caps, and pipeline construction.

RLM solves Claude Code's biggest limitation: memory loss. Every time you /compact or hit the context limit, your decisions, insights, and conversation history disappear. RLM fixes this with an MCP server that auto-saves before context loss, lets you store key decisions as searchable insights, and keeps your full conversation history in persistent chunks. Features include BM25 ranked search, fuzzy matching (typo-tolerant), multi-project organization, and smart retention that auto-archives old chunks. Inspired by MIT CSAIL's Recursive Language Models paper. Install in 3 lines, zero configuration needed.

I built this to give my AI assistants the latest information on model performance benchmarks provided by https://artificialanalysis.ai to make informed decisions on model choice.

Twitter/X analysis without token waste. Fetch tweets, download media. No API key required.

An MCP (Model Context Protocol) server for searching and fetching Unsplash photos with proper attribution. Built for LLM workflows that generate content pages and need compliant, ready-to-embed credits.

Description: The Neural Router for DepthOS. A polyphonic Model Context Protocol (MCP) server that orchestrates an ensemble of LLM specialists into a unified development hive mind. Implements the .depthos/touchpoint.md protocol for absolute project alignment.

Turn Claude or Cursor into your personal AI Financial Analyst. FinancialData.Net API provides end-of-day and intraday stock market data, company financial statements, key financial ratios and metrics, insider and institutional trading data, sustainability data, earnings releases, and much more. Over 20 years of historical data is available, including information on 17,000+ stocks, 20,000+ funds, 3,000+ ETFs, 13,000+ OTC securities, and 200,000+ derivatives.

AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Provides 5 MCP tools (refine_prompt, tweak_prompt, list_models, list_providers, validate_environment) for intelligent prompt engineering. Supports Google Gemini, Anthropic Claude, OpenAI, Groq, Alibaba Qwen, and Zhipu GLM. Features adaptive task detection, interactive/structured modes, and session history management.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

**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 )

Real-time web search and crawling capabilities for AI assistants through Model Context Protocol (MCP)

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. The Binadox solution integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).

A Model Context Protocol (MCP) server that allows you to manage your daily routine TickTick tasks with LLMs!

Let your LLM find the right tool automatically – no manual setup for each tool! MCPIndex is a Model Context Protocol (MCP) server that enables LLMs to automatically discover and invoke suitable MCP tools, eliminating the need to manually find and configure suitable MCP tools for every task.

This server exposes Dokku's management capabilities through the standardized Model Context Protocol (MCP), allowing Large Language Models (LLMs) to interact with and manage a Dokku instance.

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.

**Context Keeper** 基于LLM驱动的智能上下文记忆管理系统，专为AI Agent提供企业级记忆能力。 **核心创新**：独创"宽召回+精排序"架构，通过两阶段LLM协作实现多维度检索融合（向量+时间线+知识图谱），准确率从传统RAG的45%提升至**75%+**，召回率达**80%+**。 **技术亮点**：完整实现MCP协议（HTTP/WebSocket/SSE三种传输），四维统一上下文模型（Project/Topic/Conversation/Code），支持短期/长期记忆智能转换。 **性能表现**：10000+ QPS并发能力，P95延迟<500ms，用户/工作空间完全隔离。 **开源生态**：MIT许可，Go语言实现，深度集成Cursor/VSCode IDE。让AI助手真正拥有持续记忆能力，告别重复解释，开启智能协作新时代。

AI assistants are powerful, but sometimes you still need the human touch — a real expert who understands your exact challenge and can solve it fast. That’s where GoPluto.ai comes in. GoPluto is the quick commerce of services, designed to connect you with the right live expert in minutes. Whether you’re stuck on a technical issue, need business guidance, or want creative input, simply Ask Pluto. Our system instantly matches you with verified service providers who can step in and resolve your problem on the spot. With GoPluto, you get the best of both worlds: ⚡ AI-powered discovery to surface the right context, categories, and providers 👨‍💻 Human expertise on demand, available in under 60 seconds 🔄 Seamless integration with your workflows — no switching tools or wasting time ✅ Verified knowledge and real solutions, not hallucinations or outdated docs GoPluto.ai = AI speed + human expertise. From query → expert → solution, all in minutes.

MCP Server for Driflyte (https://console.driflyte.com). The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages. With this MCP server, Driflyte acts as a bridge between diverse, topic-aware content sources (web, GitHub, and more) and AI-powered reasoning, enabling richer, more accurate answers.

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.

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.

MCP Ambari API is a powerful Model Context Protocol (MCP) server that enables seamless Apache Ambari cluster management through natural language commands. Built for DevOps engineers, data engineers, and system administrators who work with Hadoop ecosystems.

Clipboard MCP Server An MCP server that allows LLM models to save relevant output directly to your system clipboard for immediate use.

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

Spring AI Playground is a self-hosted web UI that simplifies AI experimentation and testing. It provides Java developers with an intuitive interface for working with large language models (LLMs), vector databases, prompt engineering, and Model Context Protocol (MCP) integrations. Built on Spring AI, it supports leading model providers and includes comprehensive tools for testing retrieval-augmented generation (RAG) workflows and MCP integrations. The goal is to make AI more accessible to developers, helping them quickly prototype Spring AI-based applications with enhanced contextual awareness and external tool capabilities.

A comprehensive BullMQ MCP (Model Context Protocol) server for managing BullMQ Redis-based job queues. This BullMQ MCP integration enables Claude Code and other AI assistants to interact with BullMQ queues, monitor job status, manage workers, and perform queue operations through natural language.

⚡ Surgical Code Editing: Superhuman Precision The combination of `read_symbol` + `insert_text` unlocks revolutionary code editing capabilities that transform how AI agents work with codebases. 🚀 Superpowers Unlocked 🔍 Cross-Codebase Intelligence Find any symbol across entire repositories instantly ✂️ Precision Surgery Edit exact functions, classes, or code blocks 🎛️ Zero-Error Refactoring Update function signatures everywhere they exist

A lightweight MCP server providing a sleep tool for LLMs to wait for specified durations. Perfect for API response delays and controlled timing in AI workflows.

A comprehensive and efficient Model Context Protocol (MCP) server for task management that works seamlessly with Claude, Cursor, and other MCP clients. Designed to minimize tool confusion and maximize LLM budget efficiency while providing powerful search, filtering, and organization capabilities across multiple file formats. ✨ Features - ⚡ Ultra-efficient design: Minimal tool count (5 tools) to reduce AI confusion - 🎯 Budget-optimized: Batch operations, smart defaults and auto-operations minimize LLM API calls - 🚀 Multi-format support: Markdown (`.md`), JSON (`.json`), and YAML (`.yml`) task files - 🔍 Powerful search: Case-insensitive text/status filtering with OR logic, and ID-based lookup - 📊 Smart organization: Status-based filtering with customizable workflow states - 🎯 Position-based indexing: Easy task ordering with 0-based insertion - 📁 Multi-source support: Manage multiple task files simultaneously - 🔄 Real-time updates: Changes persist automatically to your chosen format - 🤖 Auto WIP management: Automatically manages work-in-progress task limits - 🚫 Duplicate prevention: Automatically prevents duplicate tasks - 🛡️ Type-safe: Full TypeScript support with Zod validation - 🔒 Ultra-safe: AI has no way to rewrite or delete your tasks (unless you enable it), only add and move them

Scaffold is a specialized RAG system that transforms entire codebase into a living knowledge graph, capturing the deep structural relationships between files, classes, and functions. This provides AI agents with the crucial context to accurately understand, maintain, and reason about complex software, moving far beyond simple text retrieval.

A Model Context Protocol (MCP) server that provides onchain tools for LLMs, allowing them to interact with the Solana network.

The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.

Composer's MCP server lets MCP-enabled LLMs like Claude backtest trading ideas and automatically invest in them for you

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

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

Open-source MCP server for browser automation. Enables AI systems to control browsers, interact with web pages, and extract content programmatically.

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.

Transform natural language into beautiful, interactive data visualizations. This server uniquely integrates powerful technologies like DuckDB, Ollama, and Plotly, streamlining complex data analysis workflows into a single, conversational experience within the Model Context Protocol (MCP) ecosystem. It addresses the fragmented workflow common in current MCP setups by providing seamless workflow orchestration, intelligent database switching, integrated statistical insights, and complete privacy-focused analytics through local Ollama processing.

Zerotrusted Ai Privacy Agent

Detects PII entities in the given prompt.

MCP Client & Server

MCP server for session continuity and sandbox safety in LLM development workflows. Provides "pick up exactly where you left off" + "never break the main app" functionality.

an mcp server with candle inference

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.

Local LLM Server with NPU Acceleration

Docfork MCP Server - @latest docs of 9000+ code libraries for your AI code editor.

Rails Engine with MCP compliant Spec.

MCP Server to improve LLM context through vector search.

Web Search OpenAPI/MCP server for Open-WebUI, Cherry-Studio etc, via Google and SearXNG

A MCP Server for Canada's Food Guide - To allow LLM's with preset webscraping tools to fetch recipes.

A proof-of-concept for publish design system guidance and code snippets as an MCP server for usage with LLMs

MCP server for Prompt Checking

Simulating Multiple Context Protocol

Minimalist examples to provide your own MCP servers to your local llm models.

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.

An MCP server to connect image-builder to an AI/LLM

MCP Server to improve LLM context through vector search.

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. 🛠️💻

A powerful Model Context Protocol server for LinkedIn interactions that enables AI assistants to search for jobs, generate resumes and cover letters, and manage job applications programmatically.

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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.

An integration that allows Claude Desktop to interact with Hacker News using the Model Context Protocol (MCP).

llm plugin of MCP for clients and servers.

A collection of MCP servers and a CLI tool

This comprehensive learning resource provides two complete tutorials for mastering Model Context Protocol (MCP) development with Rust. From beginner-friendly introductions to production-ready enterprise applications, these tutorials guide you through every aspect of building robust MCP servers.