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

    17

    This repository provides a Model Context Protocol (MCP) server that enables AI models to interact with Twitter through the agent-twitter-client, offering features like tweet operations, user management, and Grok integration.

    TypeScript
  • goalstory-mcp

    17

    This repository hosts the Goal Story MCP server, which powers a novel approach to goal management called "Goal Storying," using conversational AI to create personalized narratives that enhance motivation and achievement.

    JavaScript
  • EasyMCP

    16

    EasyMCP is a user-friendly client for the Model Context Protocol, enabling connection to SSE, NPX, and UV servers for interacting with various tools and integrating with the OpenAI API for

    Python
  • CereBro

    16

    CereBro is a model-agnostic AI Agent Wrapper for .Net that supports the Model Context Protocol, allowing developers to write tools compatible with various AI models like OpenAI without code changes.

    C#
  • mcp-email-client

    16

    Mail Client MCP is a Python email client enabling users to manage configurations, send emails, and read the latest unread messages, providing MCP functionality for Claude Desktop. Mail Client MCP

    Python
  • mcp-server-unitycatalog

    15

    This repository provides a Model Context Protocol (MCP) server for Unity Catalog, enabling users to leverage Unity Catalog Functions as MCP tools, including listing, getting, creating, and deleting functions within Unity Catalog.

    Python
  • Langflow-DOC-QA-SERVER

    14

    This repository provides a Model Context Protocol (MCP) server for document question answering, leveraging Langflow to create a backend for querying documents. It offers a simple interface to interact with

    JavaScript
  • placid-mcp-server

    14

    This repository provides an MCP server for Placid.app, enabling users to list templates and generate images/videos using dynamic content. It offers secure API token management and is designed for easy

    TypeScript
  • limitless-mcp-server

    14

    This repository offers a minimal MCP server/client implementation for the Limitless Developer API, demonstrating how to expose and call API endpoints as MCP tools within a single codebase.

    TypeScript
  • systemprompt-mcp-core

    13

    This repository hosts a Model Context Protocol (MCP) server for creating, managing, and extending AI agents through system prompt and tool management, integrating with systemprompt.io for seamless versioning and requiring

    TypeScript
  • agentkit

    13

    Chargebee AgentKit enhances AI applications with Chargebee capabilities, enabling users to integrate their solutions and manage billing and subscription workflows using AI. It includes tools like the MCP Server for developer productivity.

    TypeScript
  • mcp-perplexity-server

    13

    This repository hosts a Model Context Protocol (MCP) server that leverages Perplexity AI to offer intelligent code analysis and debugging, including error analysis, pattern detection, and comprehensive solutions for Python

    JavaScript
  • mcp-typesense-server

    13

    This repository provides a Model Context Protocol (MCP) server, enabling AI models to access Typesense search capabilities for discovering, searching, and analyzing data within Typesense collections. This repository provides a

    TypeScript
  • mcp-fastn

    12

    The Fastn server enables dynamic tool registration and execution via APIs, integrating with services like Claude.ai and Cursor.ai. It offers a unified, scalable platform with logging and robust error handling

    Python
  • mcp-server-kintone

    12

    This repository provides an MCP server for kintone, enabling users to connect and interact with their kintone data using AI tools like Claude Desktop. It allows exploring and manipulating kintone data.

    Go
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