The MCP Server Directory
Every Model Context Protocol server, scored on reliability, documentation, maintenance, and adoption. Independent, opinionated, refreshed daily from the official registry.
What this is
The MCP Server Directory is a live, independently maintained index of Model Context Protocol servers published to the official registry. Each server is scored 0–10 on four dimensions: reliability, documentation quality, maintenance velocity, and adoption. The directory is free, updated daily, and built by MegaOne AI.
Browserbase
4.5/10Create and control browser sessions for web automation, testing, and AI agent tasks
Fetchpet
4.5/10MCP server for Fetch Pet insurance claims management using Playwright automation.
Playwright Stealth
4.5/10Browser automation using Playwright with optional stealth mode to bypass anti-bot protection.
Pulse Fetch
4.5/10MCP server for fetching web resources with content extraction and anti-bot bypass.
Witnessd
4.5/10Neutral third-party witness: independently fetch, hash, timestamp, archive any URL or API response.
Smithery Ai Fetch
4.3/10A simple tool that performs a fetch request to a webpage.
Browserspendguard MCP
4.3/10Approval receipts for AI browser purchases.
Playwrightselectorguard MCP
4.3/10Playwright selector risk checks with healing suggestions and receipts.
Dime Experiment Tools
4.1/10Free MCP server: Nostr profile fetcher + a tip-metadata tool. AI-earns-a-dime experiment.
Screenshots
4.1/10Screenshot any URL as a hosted image. No local browser; handles bot walls and full-page captures.
Russia Access
4.1/10Fetch any Russian website or API via a Russian IP — flagship tool fetch_ru. Pay x402/RUB.
Exec Brief
4.1/10Weekly 5-15 reports for executive teams: submit reports, fetch the Friday briefing.
Openhelm
4.1/10Autonomous cloud agent tasks: real browser + your tools, structured evidence-backed results.
Tracking MCP
4.1/10Ship24 tracking API as MCP tools: manage trackers, fetch results, list couriers.
Transcripts
4.1/10Fetch YouTube video transcripts individually or in bulk via get_transcript and get_bulk_transcripts.
Browser Ssh
4.1/10Scoped, audited SSH exec, sessions, and SFTP on your saved servers without exposing credentials
MCP Server
4.1/10A perpetual, crowd-written AI novel — fetch an assignment, write a chapter, submit it. CC0.
A11Y Check
4.1/10Real-browser WCAG audit that also finds keyboard-inoperable controls axe-core misses, with fixes.
Browser Citation Capture
4.1/10Cite or capture a web page; installs the capture extension in Firefox and Chrome.
MCP Server
4.1/10List WaterrAI scenarios, fetch AI-run meetings, and pull rubric-scored analyses.
Webrun
4.1/10Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover.
Crx Permission Risk
4.1/10Score the privilege a Chrome MV3 extension takes from its manifest, and diff permission sets.
Reduck
4.1/10Automate any website: discover, run and create browser scripts that work behind logins.
MCP Server
4.1/10MCP server for RiverScript, an AI transcription platform - fetches transcripts shared via a link.
Zero
4.1/10AI-native Git-based CMS for Astro. Create and publish content in the browser, without learning git.
Whatsapp Wyjbao
4.1/10WhatsApp: The WhatsApp Profile Data API lets you programmatically fetch a user’s profile picture.
Fetchgate
4.1/10Fetch any URL as clean Markdown or metadata, and buy digital goods via x402 — for AI agents.
Good Eggs
4.1/10MCP server for Good Eggs grocery shopping automation using Playwright.
Md Log MCP
4.1/10md-log MCP: save/update/fetch markdown by path (stdio + remote HTTP, PAT auth).
Browser
3.9/10Hosted Chromium in mainland China: scripted actions, URL screenshots, print-to-PDF.
Url2Image
3.9/10Capture batches of public web pages in a real browser and download the screenshots as a zip.
Chrome Stats
3.9/10Extension and app analytics across Chrome, Edge, Firefox, Google Play, and the Apple App Store.
Trustnotch MCP
3.9/10Tamper-evident audit logs for AI agents: submit, fetch, and verify cryptographic proof bundles.
Appcontext
3.9/10Live iOS Simulator and browser screenshots, logs, and a personal MCP hub for AI coding agents.
Metadock
3.9/10Control the MetaDock desktop workspace over MCP: browsers, layouts, bookmarks, downloads, and more.
Playwright MCP Server
3.7/10Headless browser primitives for AI agents when sites need real JS rendering.
Polls
3.7/10One-link team polls: create polls, vote, fetch results, and close polls.
MCP Server
3.7/109 App Store endpoints. Pay per call in USDC via x402.
MCP Server
3.7/104 Google Maps endpoints. Pay per call in USDC via x402.
MCP Server
3.7/1012 Google News endpoints. Pay per call in USDC via x402.
MCP Server
3.7/107 Google Play endpoints. Pay per call in USDC via x402.
MCP Server
3.7/1016 Instagram endpoints. Pay per call in USDC via x402.
MCP Server
3.7/1015 Reddit endpoints. Pay per call in USDC via x402.
MCP Server
3.7/1013 TikTok endpoints. Pay per call in USDC via x402.
MCP Server
3.7/1015 Twitter / X endpoints. Pay per call in USDC via x402.
MCP Server
3.7/104 Yelp endpoints. Pay per call in USDC via x402.
MCP Server
3.7/1015 YouTube endpoints. Pay per call in USDC via x402.
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New servers, score changes, breakages
Every Monday: what shipped, what broke, what's worth trying. Five minutes. No filler.
Four dimensions, weighted
- Reliability (30%) — repository present, permissive license, not archived, official status.
- Documentation (20%) — description length, website presence, README quality.
- Maintenance (25%) — how recently the code was pushed; versioning discipline.
- Adoption (25%) — GitHub stars (log-scaled), remote availability, official endorsement.
What is MCP?
MCP stands for Model Context Protocol. It is an open standard introduced by Anthropic in late 2024 that lets AI assistants like Claude connect to external tools, data sources, and services through a common interface. An MCP server is a small program that exposes one capability (file access, a database, an API) to any MCP-compatible AI client.
Where does the data come from?
Every server in this directory is pulled from the official Model Context Protocol Registry at registry.modelcontextprotocol.io. We also enrich each entry with GitHub metadata (stars, last commit, license, primary language) where a repository is linked. The full re-scan runs daily.
How are servers scored?
Each server gets a 0–10 overall score, weighted from four sub-scores: reliability (30%), documentation (20%), maintenance (25%), and adoption (25%). The full methodology is visible on this page under "How scoring works".
Is this affiliated with Anthropic?
No. MegaOne AI is independent. Anthropic created the MCP standard and maintains the reference implementations, but this directory is built separately and rates all servers including Anthropic's own.
How often does the directory update?
The pipeline re-fetches the full registry and re-scores every active server once per day. Individual entries are refreshed whenever a new version is published to the official registry.
Is it free?
Yes. Browsing, filtering, and searching the directory is free. The weekly email briefing is free. There is no account required.