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Model Context Protocol Directory

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The Model Context Protocol (MCP) is an open standard for AI model communication.
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  • modelcontextprotocol-rust-sdk

    18

    This Rust SDK implements the Model Context Protocol, enabling applications to provide context for LLMs in a standardized way, offering both client and server capabilities for LLM integration.

    Nix
  • 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#
  • mcp-code-indexer

    17

    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-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
  • 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
  • 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
  • systemprompt-mcp-core

    14

    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
  • riza-mcp

    14

    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
  • wiki-kb

    14

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

    Python
  • skills

    13

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

    Shell
  • peac

    12

    Portable signed proof for agent, API, and MCP interactions

    TypeScript
  • podcli

    9

    CLI/MCP/Platform to generate clips from podcast.

    Python
  • mcp-sdk-rs

    9

    This Rust SDK provides a work-in-progress implementation of the Model Context Protocol (MCP) for AI model communication. It offers features like multiple transport layers, async support, type-safe message handling, and

    Rust
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