A self-contained browser engine that fetches, renders, and extracts web content as Markdown, JSON, or screenshots — no Chromium, no API key, no setup.

MCP server to fetch YouTube transcripts

MCP server that uses arxiv-to-prompt to fetch and process arXiv LaTeX sources for precise interpretation of mathematical expressions in scientific papers.

Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at 66% lower cost and up to 88% fewer tokens, plus a precision-tuned semantic caching with query-dependant TTL that no API offers.

The most powerful MCP Slack Server with no permission requirements, Apps support, GovSlack, DMs, Group DMs and smart history fetch logic.

Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.

A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

Analyze listening patterns, build playlists, find missing albums, discover similar artists via Last.fm, fetch synced lyrics, and explore global radio. Play it all through your speakers via mpv, with a built-in web UI that makes any device with a brower act as a remote. Gives full control of your Navidrome library using natural language.

Model Context Protocol Servers

MCP server retrieving transcripts of YouTube videos

Expose llms-txt to IDEs for development

Universal content reader MCP Server for 10+ platforms

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

Open-source FRED MCP Server (Federal Reserve Economic Data)

A lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data. Discuss on Hacker News:

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

YouTube Transcript API skills for AI agents. Get transcripts, search videos, browse channels. Works with OpenClaw, Hermes Agent, and other agent runtimes.

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.

Provide AI agents with full Tor network access and dark web data through a zero-config OpenClaw skill or standalone tool.

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Extract public Spotify data — tracks, albums, artists, playlists, podcasts & lyrics — without the official API. Sync + async, typed models, one dependency.