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The Model Context Protocol (MCP) is an open standard for AI model communication.
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Browse and discover Model Context Protocol compatible servers

Documentation

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AI servers

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  • zotero-mcp

    4672

    Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.

    Python
  • AI-Infra-Guard

    4509

    A comprehensive, intelligent, easy-to-use, and lightweight AI Infrastructure Vulnerability Assessment and MCP Server Security Analysis Tool.

    Go
  • ha-mcp

    4389

    The Unofficial and Awesome Home Assistant MCP Server

    Python
  • agentgateway

    4367

    Next Generation Agentic Proxy

    Rust
  • learn-agentic-ai

    4327

    This repository provides learning materials for the Panaversity Certified Agentic & Robotic AI Engineer program, covering AI-201 and AI-202 courses focused on building conversational and autonomous AI agents.

    Jupyter Notebook
  • mcp-server-chart

    4315

    MCP server chart: Generates visual charts (25+) using @antvis. Model context visualization.

    TypeScript
  • mcp-context-forge

    4315

    MCP Gateway & Registry: Manages LLM tool/prompt access via MCP. Converts APIs, composes servers, & bridges protocols (REST, stdio, SSE).

    Python
  • awesome-mcp-servers

    4265

    This repository provides a curated list of Model Context Protocol (MCP) servers, offering reference implementations for various services like file systems, Git repositories, databases, Slack, Sentry, and more.

  • LitServe

    3929

    **Concise Description:** Deploy agents, models, RAG & pipelines easily. MCP server simplifies AI deployment. No YAML/MLOps needed.

    Python
  • mcp-feedback-enhanced

    3781

    Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detec

    JavaScript
  • actors-mcp-server

    3778

    This repository implements an MCP server for Apify Actors, enabling AI assistants to use them as tools for tasks like data extraction and web scraping via HTTP or standard input/output.

    TypeScript
  • java-sdk

    3658

    The MCP Java SDK provides tools for Java applications to interact with AI models using the Model Context Protocol, offering standardized communication and Spring Boot integration for client and server applications.

    Java
  • MCP-Chinese-Getting-Started-Guide

    3557

    This repository provides a quick start guide for Model Context Protocol (MCP) programming, focusing on building MCP servers with tools for large language models. It uses Python and the `uv` package manager.

  • mcp-server-browserbase

    3411

    This repository provides a server implementing the Model Context Protocol (MCP) with cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand, enabling LLMs to interact with web pages and external data.

    TypeScript
  • mcp-containers

    3335

    **Option 1 (Focus on containers):** Containerized MCP servers. Deploy & scale MCP easily. **Option 2 (Focus on scalability):** Scalable MCP: Containerized servers for easy deployment & management.

    TypeScript
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