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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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  • mcp-code-indexer

    18

    MCP server that tracks file descriptions across codebases, enabling AI agents to efficiently navigate and understand code through searchable summaries and token-aware overviews.

    Python
  • mcp-audiense-insights

    18

    This repository provides an MCP server that connects Claude to Audiense Insights, enabling marketing insights and audience analysis from Audiense reports, including demographic, cultural, and influencer data. This repository provides

    TypeScript
  • mcp-http-client-example

    17

    This repository provides a simple example client for connecting to Model Context Protocol (MCP) servers over HTTP using Server-Sent Events, leveraging the official MCP Python SDK for protocol handling and server interaction.

    Python
  • CereBro

    17

    CereBro is a model-agnostic AI Agent Wrapper for .Net that supports the Model Context Protocol, allowing developers to write tools compatible with various AI models like OpenAI without code changes.

    C#
  • EasyMCP

    16

    EasyMCP is a user-friendly client for the Model Context Protocol, enabling connection to SSE, NPX, and UV servers for interacting with various tools and integrating with the OpenAI API for

    Python
  • claude-tempo

    16

    MCP server for multi-session Claude Code coordination via Temporal

    TypeScript
  • mcp-server-unitycatalog

    16

    This repository provides a Model Context Protocol (MCP) server for Unity Catalog, enabling users to leverage Unity Catalog Functions as MCP tools, including listing, getting, creating, and deleting functions within Unity Catalog.

    Python
  • systemprompt-mcp-core

    16

    This repository hosts a Model Context Protocol (MCP) server for creating, managing, and extending AI agents through system prompt and tool management, integrating with systemprompt.io for seamless versioning and requiring

    TypeScript
  • Langflow-DOC-QA-SERVER

    15

    This repository provides a Model Context Protocol (MCP) server for document question answering, leveraging Langflow to create a backend for querying documents. It offers a simple interface to interact with

    JavaScript
  • skills

    14

    The open catalog of AI agent skills — 1,100+ security-scanned skills for Claude Code, Cursor, Codex, and more.

    Shell
  • wiki-kb

    14

    MCP-powered knowledge base — Agent writes, humans read. Structured wiki with compiled truth, timeline, entity registry, and LLM audit.

    Python
  • peac

    13

    Portable signed proof for agent, API, and MCP interactions

    TypeScript
  • riza-mcp

    12

    This repository provides a MCP server implementation that wraps the Riza API, offering endpoints as individual tools for LLMs to securely execute code and manage tools on Riza's isolated code interpreter.

    JavaScript
  • wet-mcp

    11

    MCP server for web search, content extraction, and documentation indexing

    Python
  • memtomem

    10

    Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

    Python
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