MCP

A robust Model Context Protocol (MCP) server that provides secure shell command execution capabilities to AI assistants and other MCP clients. In other words: the brain thinks, this runs the commands. This tool creates a bridge between AI systems and your shell environment through the standardized MCP protocol. It exposes the system shell as a structured tool, enabling autonomous workflows, tool-a

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude. - Direct integration with OpenAI's chat models - Support for multiple models including: - gpt-4o-mini - o1-preview - Simple message passing interface - Basic error handling - Node.js >= 18 (includes npm and npx) - Claude Desktop app - OpenAI API key First, make sure you've got the Claude Desktop a

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

This repository hosts the official NebulaBlock API Model Context Protocol (MCP) server. This server integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools, enabling seamless and efficient interaction within any MCP-compatible environment. src/: Contains the main application source code, including configuration and tool definitions. tests

remotely attestable MCP server This project contains an MCP Server that is remotely attestable by MCP clients. To achieve this, a trusted execution environment is used, which generates a certificate representing the currently-running code of the attestable-mcp-server. The attestable-mcp-server sends this certificate in the TLS handshake to an MCP client before connecting that proves the code it's

An integration that allows Claude Desktop to interact with Spotify using the Model Context Protocol (MCP). - Spotify authentication - Search for tracks, albums, artists, and playlists - Playback control (play, pause, next, previous) - Create and manage playlists - Get personalized recommendations - Access user's top played tracks over different time periods - Node.js 16 or higher - Spotify account

There is a notable gap in the current AI Agent ecosystem: - Most MCP Servers are simple wrappers around Web APIs - Functionality interfaces may not be complete, depending on developer implementation - Manual creation of MCP interfaces is time-consuming and error-prone - Lack of standardized conversion processes MCP Link solves these issues through automation and standardization, allowing any API t

A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction. - Multi-Engine Search: Google, Bing, Yahoo, DuckDuckGo, YouTube, eBay, and more - Engine Resources: Per-engine parameter schemas available via MCP resources (see Search Tool) - Real-time Weather Data: Location-based weather with forecasts via search queries

light weight MCP for code that just works A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent. - Instant token saving by 70%. - 1 min setup - Just claude/codex mcp add works! Please help star

This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context:

Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality. This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar devel

Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation. - Python 3.6+ - SQLite database file (path specified via environment variable) Install all required dependencies: - fastmcp: Framewor

A Model Context Protocol (MCP) server implementation that integrates with Olostep for web scraping, content extraction, and search capabilities. To set up Olostep MCP Server, you need to have an API key. You can get the API key by signing up on the Olostep website. - Scrape website content in HTML, Markdown, JSON or Plain Text (with optional parsers) - Parser-based web search with structured resul

Unlock precise Bazi insights with the Bazi MCP, the first AI-powered Bazi calculator. Built to address inaccuracies in existing AI fortune-telling tools like GPT and DeepSeek, our MCP delivers reliable Bazi data for personality analysis, destiny forecasting, and more. - Accurate Bazi Calculations: Provide insightful Bazi information. - AI Agent Integration: Empowers AI agents with precise Bazi dat

A production-ready Model Context Protocol (MCP) server that bridges Ghidra's powerful reverse engineering capabilities with modern AI tools and automation frameworks. 251 MCP tools, battle-tested AI workflows, and the most comprehensive Ghidra-MCP integration available — now including P-code emulation, live debugger integration, and PCode-graph data flow analysis. Most Ghidra MCP implementations g

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi

Turn any CLI tool into an MCP server. Uses the --help to build MCP tools. Works with any CLI tool that has --help output. Build a cache first for better performance:

One of the strange design decisions Anthropic made was depriving Claude of timestamps for messages sent by the user in claude.ai or current time in general. Poor Claude can't tell what time it is! mcp-simple-timeserver is a simple MCP server that fixes that. This server provides the following tools: All tools (except getlocaltime) use accurate time from NTP servers. If NTP is unavailable, they gra

An MCP server that standardizes and contextualizes Modbus data, enabling seamless integration of AI agents with industrial IoT systems. - Modbus Tools: - Read/write holding registers (readregister, writeregister). - Read/write coils (readcoils, writecoil). - Read input registers (readinputregisters). - Read multiple holding registers (readmultipleholdingregisters). - Prompt: Analyze Modbus registe

ROS MCP is a MCP server designed for controlling robots in ROS environments using natural language. It supports communication via ROS topics, services, and actions, and works with any ROS message type. - Socket Server (socketserver.py): A lightweight server that runs on localhost:8765 to handle GUI-related operations. It receives instructions from the MCP server to launch tools such as Gazebo or r

MCP Server - Bridge to Google Gemini API. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to Google Gemini API - Support for Gemini Pro and other models - Streaming responses - Simple configuration - Jasper van de Meent (@jaspertvdm) - Root AI (Claude) - rootai@humotica.nl One Love, One fAmIly! This package is officially distributed via: - P

This repository is deprecated and no longer maintained. New implementation: Tinybird MCP Server Please migrate to the official implementation.

A Model Context Protocol (MCP) server for weather data, built with FastAPI and the MCP framework. This server provides various weather-related tools that can be used by AI assistants to retrieve current weather conditions, forecasts, air quality data, and more. - Current weather conditions - Weather forecasts (1-14 days) - Historical weather data - Weather alerts - Air quality information - Astron