MCP (Model Context Protocol) servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol — so the agent can actually take action, not just write code.
1046 servers
MCP Server for IBGE (Brazilian Institute of Geography and Statistics) APIs. 🇧🇷 Leia em Português This server implements the Model Context Protocol (MCP) to provide access to IBGE's public APIs, enabling AI assistants to query geographic, demographic, and statistical data from Brazil. - 23 specialized tools covering all major IBGE data domains - 227 automated tests with 97%+ core coverage - Autom
A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API. This very illustration came to life through our own SVGMaker MCP server—a living example of AI assistants and vector graphics working in perfect harmony via the Model Context Protocol. - 🎨 AI-Powered SVG Generation: Create SVGs from text descriptions - ✏️ Smart SVG Editing: Edit existing SVGs with natural
This is an MCP (Model Context Protocol) server that executes Manim animation code and returns the generated video. It allows users to send Manim scripts and receive the rendered animation. - Executes Manim Python scripts. - Saves animation output in a visible media folder. - Allows users to clean up temporary files after execution. - Portable and configurable via environment variables. Ensure you
An MCP server that provides full text search for code declarations. Uses SQLite with FTS5 and universal ctags to index and search functions, classes, structures, enums, and other code elements. Supports all languages that ctags supports including Python, C, Go, C++, JavaScript, Rust, Java, and many others. - Python 3.13 - Universal Ctags 6.2.0 - SQLite with FTS5 support (included in Python 3.13) J
Discover, setup, and integrate MCP servers with your favorite clients. Unlock the full potential of AI in your daily workflow. Update the configuration of your MCP client to the following: (note: this config definitely works for Claude Desktop on macOS. If you need variations for other apps or platforms check the homepage
MCP Access Point is a lightweight protocol conversion gateway tool designed to establish a communication bridge between traditional HTTP services and MCP (Model Context Protocol) clients. It enables MCP clients to interact directly with existing HTTP services without requiring any server-side interface modifications. This project is built on Pingora - an ultra-high performance gateway proxy librar
The implementation of Model Context Protocol (MCP) server for VictoriaLogs. This provides access to your VictoriaLogs instance and seamless integration with VictoriaLogs APIs and documentation. It can give you a comprehensive interface for logs, observability, and debugging tasks related to your VictoriaLogs instances, enable advanced automation and interaction capabilities for engineers and tools
The first general-purpose sentiment analysis tool for AI agents. KeyNeg MCP Server brings enterprise-grade sentiment analysis to Claude, ChatGPT, Gemini, and any AI assistant that supports the Model Context Protocol (MCP). - 95+ Sentiment Labels - Comprehensive negative sentiment taxonomy - Keyword Extraction - Identify specific complaints and issues - Batch Processing - Analyze multiple texts eff
MCP (Model Context Protocol) server for OpenGenes database This server implements the Model Context Protocol (MCP) for OpenGenes, providing a standardized interface for accessing aging and longevity research data. MCP enables AI assistants and agents to query comprehensive biomedical datasets through structured interfaces. The server automatically downloads the latest OpenGenes database and docume
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
MCP server for xAI's Grok API with agentic tool calling, image and video generation, vision, and file support. - Agentic Tool Calling: Web search, X search, and code execution with multi-step reasoning - Multiple Grok Models: Access to Grok-4.1-Fast-Reasoning, Grok-4.1-Fast-Non-Reasoning, Grok-4-Fast, and more - Image and Video Generation: Create images and videos using Grok Imagine - Vision Capab
Query OpenAI models directly from Claude using MCP protocol. Add to claudedesktopconfig.json: MIT License
A Model Context Protocol (MCP) server that connects to Databricks API, allowing LLMs to run SQL queries, list jobs, and get job status. - Run SQL queries on Databricks SQL warehouses - List all Databricks jobs - Get status of specific Databricks jobs - Get detailed information about Databricks jobs - Python 3.7+ - Databricks workspace with: - Personal access token - SQL warehouse endpoint - Permis
Kash MCP Server is a server compliant with the MCP (Model Context Protocol), allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a sales recorder system (or POS, cash register). It provides a simple interface to: - 📊 View sales and revenue - 🧾 Create and record receipts - 🛒 Manage products and stock - 🧠 Generate automated reports through conversational requests Connect you
MCP Server - Bridge to local Ollama LLM server. Part of the HumoticaOS / SymbAIon ecosystem. Add to your claudedesktopconfig.json: - Connect MCP clients to local Ollama LLM - Support for all Ollama 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: - PyPI:
See it in acton here, automatically debugging a buffer overflow: https://x.com/fullduplex/status/1904770477698277847 LLDB-MCP is a tool that integrates the LLDB debugger with Claude's Model Context Protocol (MCP). This integration allows Claude to start, control, and interact with LLDB debugging sessions directly, enabling AI-assisted debugging workflows. The tool provides a comprehensive set of c
Pepper gives AI agents eyes and hands inside iOS Simulator apps. It injects a shared library into any running simulator app — no source changes, no SDK, no build step. Your agent sees the screen as structured data, taps buttons, inspects live objects, intercepts network calls, reads the heap, and debugs layout issues. Dylib injection requires the simulator; device support uses a different mechanis
HarmonyOS MCP Server This is a MCP server for manipulating harmonyOS Device. 1. Clone this repo 2. Setup the envirnment. You can use Claude Desktop to try our tool. You can also use openai-agents SDK to try the mcp server. Here's an example You can use LangGraph, a flexible LLM agent framework to design your workflows. Here's an example Write the system prompt in server.py Use l
The NocoDB MCP Server enables seamless interaction with your NocoDB database using the Model Context Protocol (MCP). This server makes it easy to perform CRUD (Create, Read, Update, Delete) operations on NocoDB tables through natural language commands. JSON location file in: exampleupload.json This repository is a TypeScript-based fork of NocoDB-MCP-Server. It retains the core functionality while
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks to add a note, list notes, search notes, or manage note folders.
MCP server to interact with Google products. Right now, this MCP server supports Gmail and Calendar integration with the following capabilities: Multiple google accounts Get your Gmail user information Query emails with flexible search (e.g., unread, from specific senders, date ranges, with attachments) Retrieve complete email content by ID Create new draft emails with recipients, subject, body an
A Model Context Protocol (MCP) server for interacting with Bugsnag. This server allows LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag. - Organization & Project Navigation: Easily browse your Bugsnag hierarchy - Error & Event Filtering: Find specific issues with powerful filtering options - Detailed Stacktrace Viewing: See formatted stacktraces with source code contex
A Model Context Protocol (MCP) server implementation for 4EVERLAND Hosting enabling instant deployment of AI-generated code to decentralized storage networks like Greenfield, IPFS, and Arweave. The 4EVERLAND Hosting MCP Server enables users to leverage AI-driven workflows to deploy code instantly to decentralized storage networks such as Greenfield, IPFS, and Arweave. Upon deployment, it provides
Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e