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MCP Directory

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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  • agentrpc

    130

    AgentRPC is a universal RPC layer for connecting AI agents to functions across networks and languages, supporting multi-language tools, private networks, and offering observability and automatic failover. AgentRPC is a

    TypeScript
  • gtasks-mcp

    129

    This repository provides an MCP server that integrates with Google Tasks, enabling users to list, search, create, update, and delete tasks, as well as manage task lists. This repository provides

    TypeScript
  • mcp-server-aws

    128

    This repository provides an AWS Model Context Protocol (MCP) server implementation supporting S3 and DynamoDB, enabling logged operations accessible via the `audit://aws-operations` endpoint. It facilitates integration with the Claude desktop

    Python
  • aws-cost-explorer-mcp-server

    127

    This repository provides an MCP server for accessing AWS Cost Explorer and Amazon Bedrock usage data through CloudWatch Logs, enabling users to analyze and visualize AWS spending data using Anthropic's Claude.

    Python
  • mcp-watch

    127

    A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.

    TypeScript
  • dart-mcp-server

    126

    Dart MCP Server is the official AI Model Context Protocol server for Dart, a project management tool powered by AI, offering features like prompts, resource templates, and task management tools.

    JavaScript
  • mcp-server-bigquery

    125

    This repository provides a Model Context Protocol (MCP) server for accessing BigQuery, enabling LLMs to inspect schemas and execute SQL queries. It supports listing tables, describing schemas, and running queries

    Python
  • mcp-client-server

    124

    The MCP Test Client is a middleware that acts as both a server for Claude and a client for MCP servers under test, enabling testing and development without direct registration.

    TypeScript
  • mcp-local-rag

    122

    This repository provides a local, "primitive" RAG-like web search model context protocol (MCP) server that runs without external APIs. It allows Claude to access and use new information from web

    Python
  • rotary-encoder-over-mcp23017

    122

    Library and example code with which one can controll multiple rotary encoders over the MCP23017 I2C GPIO expander.

    C++
  • mcp-hubspot

    121

    This repository provides a Model Context Protocol (MCP) server for integrating AI models with HubSpot CRM, enabling interaction with HubSpot data through tools like contact management. It allows AI to

    Python
  • notion-server

    119

    This repository provides a Model Context Protocol (MCP) server for Notion, enabling Language Models to interact with Notion workspaces through standardized tools for page and database operations. This repository provides

    TypeScript
  • wxflows

    118

    The watsonx.ai Flows Engine repository provides tools to build, run, and deploy AI agent tools from various data sources, enabling integration with frameworks like LangChain and watsonx.ai for diverse applications.

  • octagon-mcp-server

    117

    The Octagon MCP Server provides AI-powered investment research capabilities, integrating with the Octagon API to analyze financial data, SEC filings, and market trends. It offers comprehensive tools for public and

    JavaScript
  • elevenlabs-mcp-server

    117

    This repository provides an ElevenLabs MCP server for text-to-speech conversion, featuring a SvelteKit client for managing voices, scripts, and audio history. It supports persistent storage and offers easy installation via

    Python
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