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

Browse and discover Model Context Protocol compatible clients.

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AI clients

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  • nse-bse-mcp

    2

    Serve real-time and historical Indian stock data from NSE and BSE using Model Context Protocol for easy market analysis without API keys.

    Python

  • copilot-memory-store

    2

    🗄️ Store and manage local JSON data for context engineering with GitHub Copilot and MCP clients efficiently.

    TypeScript

  • bambu-printer-mcp

    2

    Control Bambu Lab printers, edit STL files, and manage 3MF print workflows with an MCP server for Claude and other MCP clients

    TypeScript

  • vibe-schooling

    2

    Expose how AI turns schoolwork into empty proof of learning and challenge the limits of AI in education

    JavaScript

  • GeminiOS

    2

    Embed Google AI Studio in a desktop app and enable generated apps to interact securely with your local system through a JavaScript API.

    TypeScript

  • fastestmcp

    2

    🚀 Generate production-ready MCP servers and clients in seconds with FastestMCP, ensuring efficiency and speed for your projects.

    Python

  • ssh-client-mcp

    2

    🚀 Execute SSH commands and manage SFTP operations on remote servers easily with this Model Context Protocol server for AI assistants.

    TypeScript

  • Dream-Chronicles

    2

    Dream Chronicles is an AI-powered app that interprets dreams by transforming user descriptions into insightful text and audio results. It utilizes Anthropic Claude 3.5 for dream analysis and Google Te

    Python

  • rss-feeds-mcp

    2

    Enable AI assistants to fetch, filter, and search RSS feeds instantly using a zero-configuration Model Context Protocol server.

    JavaScript

  • mcp-verified-repo-memory

    2

    Provide reliable, repository-scoped memory for AI coding agents with code citations, just-in-time verification, and stale-proof data management.

    TypeScript

  • awesome-claude-md

    2

    Discover CLAUDE.md best practices for project-specific AI coding guidance, with ready-to-use templates for languages, frameworks, and real-world cases

  • asya-chat-ui

    2

    Build multi-organization LLM chat platforms with model routing, tool execution, usage analytics, and OpenAI-compatible APIs.

    Python

  • claude-agents-forge

    2

    Build and run production-ready Claude Code agents with full agent specs, including turn limits, permissions, memory, and tool orchestration.

  • rustchain-mcp

    2

    Provide AI agents with access to RustChain blockchain, BoTTube video platform, and Beacon communication via a Model Context Protocol server.

    Python

  • multi-agent-orchestrator

    1

    Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents

    Python
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