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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.
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A GO based MCP server for use with AmazonQ or any other MCP capable LLM Agent
A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).
Agent development tool-kit
This repo covers LLM, Agents concepts both theoretically and practically: LLMs, RAG, Fine Tuning, Agents, Tools, MCP, Agent Frameworks, Reference Documents, Links
An MCP server 🚀 for MonkDB, licensed under Apache 2.0 📜
基于 Mcp 架构的 ChatBI，是一种数据分析智能体解决方案
A Slackbot LLM agent that allows connecting to an LLM and MCP servers
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
A modular application API interface based on FastMCP, integrating a demo of the MCP server, FastAPI interface and LLM Agent processing capabilities | 一个基于FastMCP的模块化应用，集成了MCP服务器、FastAPI接口和LLM Agent 处理能力的 demo
A Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal
An ntfy MCP server for sending/fetching ntfy notifications to any/self-hosted ntfy.sh server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)
Mirror of
A Model Context Protocol (MCP) server to provide git tools for LLM Agents, with fixes for the amend parameter caching issue
A Perplexity API Model Context Protocol (MCP) server that unlocks Perplexity's search-augmented AI capabilities for LLM agents. Features robust error handling, secure input validation, and transparent reasoning with the showThinking parameter. Built with type safety, modular architecture, and production-ready utilities.
An MCP (Model Context Protocol) server designed to interact with the ntfy push notification service. It enables LLMs and AI agents to send notifications to your devices with extensive customization options.
TypeScript template for building Model Context Protocol (MCP) servers & clients. A beginner-friendly, production-ready starting point with essential utilities, examples, and type safety.
Memory Control Protocol (MCP) server for the Agentic Memory (A-MEM) system - a flexible, dynamic memory system for LLM agents
This is a File system mcp server that could allow an LLM to read and list files from a specified safe directory on your local machine.
mcp-reporter is a streamlined utility that generates comprehensive capability reports for Model Context Protocol servers, empowering developers to easily understand available functionality across their MCP servers ecosystem for both documentation and integration into other tools.
A Model Context Protocol (MCP) server built in TypeScript that integrates with GitHub's API, enabling AI assistants to manage repositories, issues, pull requests, and code while providing a structured interface for LLM agents to perform GitHub operations.
** THIS REPO HAS MOVED TO
Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.
A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.
A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.
Model Context Protocol (MCP) server designed for LLMs to interact with Obsidian vaults. Provides secure, token-aware tools for seamless knowledge base management through a standardized interface.
MCP Server for SearXNG
Shell and coding agent on claude desktop app
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.