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.
1085 servers
The Octagon Deep Research MCP server provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents. No rate limits, faster than ChatGPT Deep Research, more thorough than Grok DeepSearch or Perplexity Deep Research. Add unlimited deep research functionality to any MCP client including Claude Desktop, Cursor, and other popular MCP-
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface. To install YouTube Transcript Server for Claude Desktop automatically via Smithery: - gettranscript - Extract transcripts from YouTube videos - url (string, required): YouTube video URL, Shorts URL, or video ID - l
A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups. OpenNutrition addresses the longstanding issues with fragmented and unreliable nutritional data by combining authoritative public sources (USDA, CNF, FRIDA, AUSNUT). Unlike other databases that suffer from inconsistent user-generat
AI can build products. But it still doesn't talk to users. Usercall MCP lets AI agents run user interviews via voice calls and return structured insights with themes and verbatim quotes. Works with Claude Desktop, Cursor, and any MCP-compatible client. AI agents can now build and ship products extremely quickly. But most agents still rely on synthetic feedback or assumptions about users. Usercall
Modern Kubernetes visibility. Local-first. No account. No cloud dependency. Blazing Fast. radarhq.io · Docs · Releases Topology, event timeline, and service traffic — plus resource browsing, Helm management, and GitOps support for FluxCD and ArgoCD. Visualize your cluster topology, browse resources, stream logs, exec into pods, inspect container image filesystems, manage Helm releases, monitor
An MCP server that integrates with the Freqtrade cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated trading operation. For more crypto-related MCP servers, see the Kukapay MCP servers. - Python 3.13+: Ensure Python is installed on your system. - Freqtrade: A running Freqtrade instance with the REST API enabled (see Freqtrade Docs). - Git: For cloning
K8s MCP Server is a Docker-based server implementing Anthropic's Model Context Protocol (MCP) that enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment. Session 1: Using k8s-mcp-server and Helm CLI to deploy a WordPress application in the claude-demo namespace, then intentionally breaking it by scaling the MariaDB StatefulSet to zero.
Convert markdown (.md) files into professional, interactive PDF documents with automatic table of contents. mcp-name: io.github.wmarceau/md-to-pdf - Automatic Table of Contents - Generated from markdown headers - Interactive Navigation - Clickable TOC links to sections - Professional Styling - Clean, readable PDF output - Code Block Support - Syntax highlighting preserved - Table Support - Markdow
MCP server implementation for TiDB (serverless) database. - uv (Python package installer) Go tidbcloud.com to create a free TiDB database cluster Configuration can be provided through environment variables, or using .env: - TIDBHOST - TiDB host address, e.g. 'gateway01.us-east-1.prod.aws.tidbcloud.com' - TIDBPORT - TiDB port (default: 4000) - TIDBUSERNAME - Database username, e.g. 'xxxxxxxxxx.\ '
Welcome to ntfy-mcp, the MCP server that keeps you caffeinated and informed! 🚀☕️ This handy little server integrates with the Model Context Protocol to send you delightful ntfy notifications whenever your AI assistant completes a task. Because let's face it - you deserve that tea break while your code writes itself. Choose your adventure: Manual Start: Cline Configuration: 1. Download the ntfy ap
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data. - osm-mcp-server: The main server, available for public use. This server provides LLMs with tools to interact with OpenStreetMap data, enabling location-based applications to: - Geocode addresses and place names to coordinates - Reverse geocode coordinates to addresses - Find
An MCP server for AI agents to automate token swaps on Uniswap DEX across multiple blockchains. - Price Quotes: Get real-time price quotes for token swaps with multi-hop route optimization. - Swap Execution: Execute swaps on Uniswap V3 with configurable slippage tolerance and deadlines. - Swap Suggestions: Generate trading suggestions based on liquidity, fees, and optimal paths. - Multi-Chain Supp
InsForge turns your coding agents into full-stack builders, letting them add backend features like auth, databases, file storage, serverless functions, and LLMs to your apps in seconds. This repo is Model Context Protocol server for Insforge. Please visit the main Insforge repository for: - Installation and setup instructions - Configuration guide - Available tools and usage examples - API documen
See through your agent's eyes. Visualize legacy code, inspect complex flows, understand everything. - Visualize Anything: Use your coding agent to generate on-demand architecture, code, and process diagrams to view your code from different perspectives. - Vibe Checks: AI-generated code can accumulate unused and redundant constructs. Use visualizations to spot areas that need cleanup. - Local Proce
An MCP server paired with a Firefox browser extension that provides AI assistants with access to tab management, browsing history, and webpage text content. The MCP server supports the following tools: - Open or close tabs - Get the list of opened tabs - Create tab groups with name and color - Reorder opened tabs - Read and search the browser's history - Read a webpage's text content and links (re
The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,
Renders diagram source files to PNG/SVG using Kroki. No runtime dependencies — uses only Node.js built-ins. Two usage modes: - CLI — drop source files into src/, run make render, get images in diagrams/ - MCP server — AI tools (renderdiagram, renderfile) render on demand and return a one-click preview URL Output lands in diagrams/. Format is detected from the file extension. Unsupported extensions
A lightweight Java-based MCP (Model Context Protocol) server for JDBC built with Quakrus. This server is compatible with Virtuoso DBMS and any other DBMS backend that has a JDBC driver. - Get Schemas: Fetch and list all schema names from the connected database. - Get Tables: Retrieve table information for specific schemas or all schemas. - Describe Table: Generate a detailed description of table s
The whole local AI stack in one executable: it runs and manages the models, and searches everything you own with them. Project site · Tutorial reels · PyPI · Obsidian plugin · REST API · Chat (lilbee) lilbee runs and manages your models: chat, embedding, vision, and rerank, placed across every GPU you have. It puts them to work as a searc
This is a Model Context Protocol (MCP) server that enables scalable mobile automation, development through a platform-agnostic interface, eliminating the need for distinct iOS or Android knowledge. You can run it on emulators, simulators, and real devices (iOS and Android). This server allows Agents and LLMs to interact with native iOS/Android applications and devices through structured accessibil
What a repository knows about itself. rag-rat is a local repo-intelligence index and MCP server for coding agents. It keeps source files read-only, writes only its own SQLite database, and answers with provenance on every result — current source, the code graph, git/GitHub history, and durable, source-anchored repo memories that persist across sessions and agents. Every coding harness already has
Kokoro Text to Speech MCP server that generates .mp3 files with option to upload to S3. Uses: https://huggingface.co/spaces/hexgrad/Kokoro-TTS Clone to a local repo. Download the Kokoro Onnx Weights for kokoro-v1.0.onnx and voices-v1.0.bin and store in the same repo. Add the following to your MCP configs. Update with your own values. This is needed to convert .wav to .mp3 files To run locally add
An experimental Model Context Protocol (MCP) server that enables Claude to control Strudel.cc for AI-assisted music generation, live coding, and algorithmic composition. Current State: Functional but under active development. Core features work reliably, but expect rough edges. Test coverage is at 78% with 1470 tests passing (1521 total, 51 skipped). See open issues for known limitations. - Instal
Generate mermaid diagram and chart with AI MCP dynamically. Also you can use: - mcp-server-chart to generate chart, graph, map. - Infographic to generate infographic, such as Timeline, Comparison, List, Process and so on. - Fully support all features and syntax of Mermaid. - Support configuration of backgroundColor and theme, enabling large AI models to output rich style configurations. - Support