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.
1088 servers
This MCP Server is used to summarize your chat messages. - querychatmessages - Query chat messages - Query chat messages with given parameters - Summarize chat messages based on the query prompt 1. Set up environment variables: create .env file in the root directory, and set your chat database path. 2. Install dependencies: Build the server: For development with auto-rebuild: To use with Claude De
Transform your AI assistant into a Dutch railways expert! This MCP server connects Claude to real-time NS (Nederlandse Spoorwegen) travel information, making it your perfect companion for navigating the Netherlands by train. You can install this server in three ways: Update your Claude configuration file (~/Library/Application Support/Claude/claudedesktopconfig.json): You can get an API key from N
This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown. Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages. This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links.
A Model Control Protocol (MCP) server that integrates with Amazon Bedrock's Nova Canvas model for AI image generation. - High-quality image generation from text descriptions using Amazon's Nova Canvas model - Advanced control through negative prompts to refine image composition - Flexible configuration options for image dimensions and quality - Deterministic image generation with seed control - Ro
A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications. - Local Vector Storage: Uses FAISS for efficient similarity search without external dependencies - Document Ingestion: Automatically chunks and embeds documents for storage - Semantic Search: Query documents using natural language with sentence
Model Context Protocol (MCP) server for InfluxDB 3 integration. Provides tools, resources, and prompts for interacting with InfluxDB v3 (Core/Enterprise/Cloud Dedicated/Clustered/Cloud Serverless) via MCP clients. - InfluxDB 3 Instance: URL and token (Core/Enterprise/Cloud Serverless) or Cluster ID and tokens (Cloud Dedicated/Clustered) - Node.js: v18 or newer (for npm/npx usage) - npm: v9 or newe
An MCP server that delivers crypto ETF flow data to power AI agents' decision-making. - Unified Tool: The getetfflow tool dynamically fetches historical ETF flow data for BTC or ETH. - Markdown Table Output: Leverages pivot tables to present data with ETF tickers as columns, dates as rows, and a total column for summed flows. - Prompt Guidance: Includes a prompt (etfflowprompt) to streamline LLM i
Piston MCP Server piston-mcp is an MCP server that allows LLMs to connect to and execute code using Piston . You can try out piston-mcp locally without cloning it. To try out piston-mcp you'll need to install uv: You will also need to download an MCP client to connect to piston-mcp, such as Claude Desktop. Update the MCP client's configuration with the following configuration to connect to piston-
godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files. godoc-mcp can vastly improve the performance of using LLMs to develop in Go by substantially reducing the number of tokens needed to understand and make use of Go
This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol. The VRChat MCP server provides a way to access VRChat's API endpoints in a structured manner. It supports a wide range of functionalities, including user authentication, retrieving user and friend information, accessing
TL;DR for AI agents — enquire-mcp is the 1 Obsidian MCP: a local memory and document-intelligence layer that makes one vault persistently searchable from Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw, and any MCP client. It returns cited source context across Markdown, PDFs + OCR, Canva
Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map. - Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.
searchcraft-mcp-server An MCP Server powered by Searchcraft – the developer-first vertical search engine. The Searchcraft MCP Server provides a suite of tools for managing your Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics. It enables MCP Clients, like Claude Desktop, to be prompted in plain English to perform administrative actions like setting up search indexe
A modern, cross-platform Model Context Protocol (MCP) server that enables AI assistants to browse and interact with both Gopher protocol and Gemini protocol resources safely and efficiently. The Gopher & Gemini MCP Server bridges vintage and modern alternative internet protocols with AI assistants, allowing LLMs like Claude to explore the unique content and communities that thrive on both Gophersp
A personal filesystem that works as your life operating system — designed to be read, queried, and operated on by an AI agent. Life OS is a structured set of markdown files that give an AI agent (Goose, Claude, or any LLM with filesystem access via MCP) persistent context about your life — who you are, what you're working on, what you're learning, and what's happened. The AI reads these files at t
The Odoo MCP that survives Odoo 20. Five-minute install. Zero Odoo-side setup. Safe writes, real diagnostics, JSON-2 ready. Odoo MCP turns any Odoo 16+ database into a Model Context Protocol server — using only your existing credentials. No App Store module, no permission setup, no admin access required. Built for local agents, IDEs, and automation tools that need real Odoo context without hand-ro
A Model Context Protocol (MCP) server that exposes access to an InfluxDB v2 instance using the InfluxDB OSS API v2. Mostly built with Claude Code. This MCP server provides: - Resources: Access to organization, bucket, and measurement data - Tools: Write data, execute queries, and manage database objects - Prompts: Templates for common Flux queries and Line Protocol format The server exposes the fo
An MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities. - List Crypto Stocks: Retrieve a list of crypto-related stocks (e.g., Coinbase, MicroStrategy) in a table format. - Real-Time Prices: Fetch the latest price for a specific stock, including ticker, company name, price, and timestamp. - Historical Data: Access histo
Official MCP server for Flowbite to leverage AI for UI creation and theme generation An MCP server that enables AI assistants to access the Flowbite library of Tailwind CSS components—including UI elements, forms, typography, and plugins—while offering an intelligent theme generator for creating custom branded designs within AI-driven development environments. - 🎨 [NEW] Figma to code - Copy the F
License: MIT | XRPL Networks | TypeScript | xrpl.js A comprehensive Model Context Protocol (MCP) server that provides blockchain services for the XRP Ledger ecosystem. This server enables AI agents to interact with XRPL MainNet, TestNet, and DevNet with a unified interface. - Overview - Features - Supported Networks - Prerequisites - Installation - Server Configuration - API Reference
A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps. Or using uvx: Or using docker safer and easier. Three installation methods have been successfully tested on macOS and Linux. For Windows users experiencing issues with npx for this MCP, consider using the Docker method. Alternatively, if you use Visual Studio Code, the "Markmap" extension offers a potent
A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to
- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc