Browse the catalog

stdio MCP server для скачивания аудио (MP3) с YouTube через Claude Code, Codex, Claude Desktop. yt-dlp под капотом.

Enables Claude to search and retrieve Magic: The Gathering card details, prices, set information, and random cards from Scryfall's database through natural language.

Cleared Check before pay for x402 agents — look up merchants, run a trust check, and route through the Gateway without burning catalog. Tools: lookup_merchant, cleared_check, route_gateway.

An MCP server that provides a structured API for AI agents to query a person's resume, including profile, projects, writing, and gated access to experience and skills.

Enables AI agents to search, create, modify, and organize documentation pages and spaces in Docmost.

MCP server for git archaeology — churn hotspots, blame summaries, bus factor, commit forensics and file history over any local repository.

Connect your AI assistant to Jinguyuan Dumpling Restaurant data to query store information, check operating hours, and manage queue numbers via MCP.

Connects Claude to Spotify, enabling play control, playlist management, lyrics retrieval, and music recommendations through natural language.

Gingerguide MCP server and agent skills: self-guided audio walking tours for 129 European cities, for Claude, ChatGPT, Cursor and other AI agents.

Pump.fun data fetch tool for Model Context Protocol

Bridges MCP-compatible IDEs to a local MemOS instance, enabling notes from editors to be stored in the same knowledge base that AI agents read from.

MCP server for GitHub end-to-end automation: repos, push, releases, GitHub Actions, issues, PRs, secrets, security, profile, search (~3000 lines, 69 tools)

Full-featured Notion MCP server enabling deep page reading, block editing, snapshot/restore, file uploads, table manipulation, page restore, and destructive page copying.

Flux-Cloudflare-MCP enables AI assistants to generate images through the Flux API running on Cloudflare Workers. Developed by Hzzy2O, this implementation provides a streamlined interface for text-to-image generation with customizable parameters including prompt, dimensions, aspect ratio, and inference steps. The server handles the entire workflow from API communication to image retrieval and optional local file saving, making it particularly valuable for creative workflows requiring image generation without leaving the conversation context.

A TypeScript MCP server boilerplate providing example tools and resources for rapid development and testing of Model Context Protocol servers.

Securely connect AI assistants to PostgreSQL databases with read-only access, schema discovery, querying, and performance analysis tools.

It gives Claude Code, Cursor, and Codex structured workflows and an MCP server for building data pipelines with dlt - covering REST API ingestion, transformations, data quality, and exploration.

This repository contains everything you need to run: A MCP Server, an Ollama LLM Server, a LangChain agent that connects to the MCP server and allows you to interact with it.

This Eufy RoboVac MCP server provides comprehensive control over Eufy robotic vacuum cleaners through local network communication, featuring automatic device discovery via network scanning and ARP table analysis to identify RoboVac devices by their Anker/Eufy MAC address prefixes and open Tuya protocol ports (6668, 6667, 443). The server offers 24 tools covering all major vacuum operations including cleaning control (start, stop, pause, return home), configuration management (work modes, suction speeds), status monitoring (battery level, error codes, work status), and device location features, with intelligent fallback mechanisms that attempt auto-discovery when manual IP configuration fails. Built using the eufy-robovac library, it's particularly valuable for smart home automation, voice assistant integration, and AI-driven household management where users need programmatic control over their cleaning routines without requiring manual device configuration.

This YouTube MCP server, developed using TypeScript and the Highlight AI MCP SDK, enables AI agents to extract transcripts from YouTube videos. It provides a standardized interface for retrieving transcript text from various YouTube URL formats, including standard, shortened, and embed links. The implementation focuses on simplicity and error handling, offering functionality to fetch English transcripts from videos with captions enabled. It's particularly useful for applications requiring automated content analysis, such as sentiment analysis, topic extraction, or summarization of YouTube videos, without directly dealing with YouTube's API complexities. The server supports Node.js >=18.0.0 and uses the youtube-transcript library for transcript retrieval, making it a practical solution for integrating YouTube content into AI-driven workflows.