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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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AI servers

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  • duphunter

    1

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

    Python
  • mcp-firewall

    1

    🛡 Enforce security policies, redact data, sandbox processes, and verify integrity for Model Context Protocol (MCP) server communication.

    Go
  • AgentGuard

    1

    Protect AI agents by detecting and blocking prompt, command injection, Unicode bypass, and social engineering attacks with customizable security controls.

    Python
  • mcp-mux

    1

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

    Go
  • mcp-manager

    1

    Universal MCP Server Manager - Manage Qwen Code, Claude, Codex, Gemini, OpenCode, OpenClaw, Trae, Qoder & CodeBuddy from one place.

    Rust
  • tlbrain

    1

    MCP-based memory layer for Claude Cowork integrating TL;DV transcripts (Google Drive) with RAG-ready retrieval.

  • brain-mcp-server

    1

    Generic MCP server for Markdown-based AI Brain context systems

    TypeScript
  • 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
  • karellen-rr-mcp

    1

    Provide an MCP server to enable reverse debugging with rr, improving control and insight during program execution analysis.

  • SwitchBoard-MCP

    1

    Switchboard --> MCP server that transparently routes AI coding agent requests across multiple models and providers. Never hit a rate limit dead end again.

    Python
  • mcp-core

    1

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

    Python
  • modelcontextprotocol-go-sdk

    1

    This repository provides a Go SDK for the Model Context Protocol (MCP), enabling developers to build MCP clients and servers for integrating with LLM surfaces using standardized context provision.

  • jsTextFromImage

    1

    Get descriptions of images using OpenAI's GPT-4 Vision models, Azure OpenAI, and Anthropic Claude in an easy way.

    TypeScript
  • mcpfs

    1

    Mount MCP servers as filesystems to access reads via standard file commands and perform writes through a CLI tool.

    Go
  • quasar-docs-mcp-server

    0

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

    TypeScript
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