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MCP-X is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
A comprehensive Model Context Protocol (MCP) server implementation for Microsoft Fabric Real-Time Intelligence (RTI).
The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification.
Retrieval-augmented search, hooks, and an MCP server in a single local system. No API keys, no cloud dependencies.
A powerful Model Context Protocol (MCP) server that provides seamless integration with Google Drive, allowing AI models to search, list, and read files from Google Drive.
This repository contains MCP (Model Context Protocol) servers for integrating with OpenAI's o1 model and Flux capabilities.
This MCP server provides access to Siri shortcuts functionality via the Model Context Protocol (MCP). It allows listing, opening, and running shortcuts from the macOS Shortcuts app.
A Model Context Protocol (MCP) server for WordPress integration, compatible with Windows, macOS, and Linux.
Model Context Protocol (MCP) server for integrating Redash with AI assistants like Claude.
A Model Context Protocol (MCP) server that provides tools for interacting with JMAP (JSON Meta Application Protocol) email servers. Built with Deno and using the @htunnicliff/jmap-jam client library.
Metis is an advanced AI agent platform with an intelligent MCP (Model Context Protocol) router that dynamically manages up to 1,000+ MCP servers.
Purpose: Learn to build Powerful Model Context Protocol (MCP) servers by scaling tools into reusable agentic workflows (ADWs aka Prompts w/tools).
is a Python package that implements a Model Context Protocol (MCP) server, designed to dynamically expose REST APIs—defined by OpenAPI specifications—as MCP tools.
A Model Context Protocol (MCP) server implementation for the Gmail API, providing a standardized interface for email management, sending, and retrieval.
A gateway for Model Context Protocol (MCP) servers.
is a lightweight server that can run and manage multiple Model Context Protocol (MCP) servers, specifically designed to integrate with TypingMind.
一个强大的本地 MCP Server，用于智能读取 Java 源代码。支持从 Maven 依赖（Jar 包）和本地项目中提取源码，配备双反编译器（CFR/Fernflower）自动选择机制，智能处理 SNAPSHOT 版本，完美支持多模块项目，让 AI 助手能够深入理解你的 Java 代码库。
This project provides tools to enhance the capabilities of Large Language Models (LLMs) in generating SPARQL queries for specific endpoints:
Bringing official Census Bureau statistics to AI assistants everywhere.
The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.).
A Model Context Protocol (MCP) server that enables AI assistants to interact with Slack workspaces. This server provides a bridge between AI tools and Slack, allowing you to read messages, post...
🗓️ A CalDAV Model Context Protocol (MCP) server to expose calendar operations as tools for AI assistants.
A server that helps people access and query data in databases using the Legion Query Runner with integration of the Model Context Protocol (MCP) Python SDK.
Provides an API layer in front of the Ollama API, seamlessly adding tools from multiple MCP servers so every Ollama request can access all connected tools transparently.