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The Model Context Protocol (MCP) is an open standard for AI model communication.
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Documentation

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AI servers

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  • llmfs

    1

    Store and retrieve persistent filesystem memory for LLMs and AI agents with structured, searchable context beyond token limits

    Python
  • kimi-code-mcp

    1

    Connect Kimi Code’s large-context reading with Claude Code’s reasoning for efficient, cost-effective codebase analysis and edits.

    TypeScript
  • brain-mcp-server

    1

    Generic MCP server for Markdown-based AI Brain context systems

    TypeScript
  • mcp-mux

    1

    Transparent stdio multiplexer for MCP servers — share one upstream across multiple Claude Code sessions

    Go
  • Ollqd

    1

    📚 Index codebases and docs into Qdrant with Ollama embeddings, enabling AI assistants to search code via Model Context Protocol (MCP).

    Python
  • mcp-core

    1

    Unified MCP Streamable HTTP 2025-11-25 transport, OAuth 2.1 AS, lifecycle, install, and shared embedding daemon

    Python
  • duphunter

    1

    Detect near-duplicate Python code using AST analysis to find structural clones despite renaming, supporting efficient AI-assisted refactoring workflows.

    Python
  • websocket_mcp

    1

    This repository offers a WebSocket-based Model Context Protocol (MCP) server and client implementation, including a local LLM chat bot demo, designed to improve upon existing MCP transport layers for efficient communication.

    Python
  • fingertip-mcp

    1

    The @fingertip/mcp repository provides a Model Context Protocol server for the Fingertip API, enabling AI assistants to manage Fingertip sites, retrieve site information, and create new sites. The @fingertip/mcp repository

    TypeScript
  • quasar-docs-mcp-server

    1

    📚 Access Quasar Framework documentation seamlessly with this MCP server, featuring full-text search, component details, and smart caching for efficiency.

    TypeScript
  • sentinel

    1

    Scan MCP servers and Docker containers for security misconfigurations to help maintain secure Model Context Protocol deployments.

    Python
  • mcp-datadog

    1

    📊 Integrate Datadog Logs, Monitors, Metrics, Incidents, and Dashboards with this Model Context Protocol (MCP) server for seamless AI assistance.

    C#
  • mcp-scan-action

    1

    Scan MCP servers, AI agents, and LLM pipelines for security vulnerabilities and send results directly to your GitHub Security tab.

    Python
  • NetworkOps_Platform

    1

    Streamline multi-vendor network management using natural language commands with AI-driven automation on the Model Context Protocol platform.

    Python
  • AE-agent

    1

    Automate After Effects with an AI agent platform that runs any model or endpoint under your control

    JavaScript
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