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The Model Context Protocol (MCP) is an open standard for AI model communication.
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  • gtasks-mcp

    132

    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
  • 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
  • mcp-watch

    128

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

    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
  • dart-mcp-server

    127

    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-local-rag

    126

    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
  • mcp-server-bigquery

    126

    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
  • octagon-mcp-server

    124

    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
  • 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-hubspot

    122

    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
  • 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-jenkins

    121

    The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI inter

    Python
  • wxflows

    120

    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.

  • 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
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