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.
Akta.Pro MCP
4.9/10Private company data, entity-resolved news, targeted lists, and alternative signals for AI agents.
Alfil
4.9/10Alfil MCP: politicos, partidos, contratacion SECOP y datos electorales de Colombia, gratis.
Ai Jyotish Bot
4.9/10Vedic astrology for AI agents: chart facts, panchang windows, and Guna Milan compatibility.
Rafid Agent Api
4.9/10Paid intelligence tools for AI agents across risk, finance, property, logistics and more.
Minddy
4.9/10Minimal issue tracker: projects, objectives and trackable plans, written by agents over MCP.
Tellandgo MCP
4.9/10Book real hotel and resort stays from any AI agent: all-in pricing, hosted Stripe checkout, no key.
Chomptron
4.9/10Generate a recipe from ingredients on hand, with optional dietary restrictions. Free.
Curbspec
4.9/10Compile a used-vehicle report from a VIN or listing. Free preview; unlock full writeups for $12.99.
Glossary Terms Definitions Library
4.9/10A personal glossary of terms and definitions, assembled into a real Word docx, variables filled.
Thirdtrail
4.9/10Elevation-corrected sun, moon, twilight, solar and tide data for any point on Earth
Scriptseen
4.9/10Create short-form scripts and paced audio, then hand clips to ScriptSeen's on-device video maker.
MCP Server
4.9/10Ads Editor MCP: 212 tools to run Meta Ads and Google Ads from Claude, ChatGPT, Codex and Cursor.
Shared Forest
4.9/10Plant or sponsor trees in a shared forest that grows from its traffic. Sponsoring uses OAuth.
Blueprint Studio
4.9/10Your brand's Styles, logos and asset library in your AI app, for on-brand assets that match.
Ichimoku Signal
4.9/10Free Ichimoku trend; paid confluence, levels, market scan and liquidity-ranked setups via x402.
Kabuken
4.9/10Japanese EDINET XBRL facts: bilingual labels, financials, screening. No prices. Signup required.
Gk Pay Skills MCP
4.9/1013 pay-per-use Chinese tools (diagnosis, PLC, copywriting, divination), 0.05 CNY/call via A2M 402.
Straight Line Golf Pro MCP
4.9/10Read-only discovery and retrieval of current public Straight Line Golf Pro coaching resources.
Project Room
4.9/10Your team's coding agents from any vendor claim work, hand off and prove what shipped, in one room.
Vaultgate
4.9/10Self-hosted remote MCP server for Bitwarden and Vaultwarden with OAuth 2.1; agents hold tokens only
Factrail
4.9/10Evidence infrastructure for agents: source-backed company verification and beta import assessment.
Viral App
4.9/10UGC analytics and Creator Hub for TikTok, Instagram and YouTube: tracking, campaigns, jobs, events.
Aliev
4.9/10Start with analyze_ev_site(address) for a free, source-backed EV charging opportunity screen.
Mmw
4.9/10Ultra-fast persistent memory workspace with tenant isolation and cross-model continuity.
Prismcrawl
4.9/10Live Google, Bing, Amazon, Maps, Yelp & app store data. As low as $0.15/1K successes; failures free.
Advertise To Agents
4.9/10Agent-to-agent advertising: labeled placements where autonomous agents look for tools.
Agent Acquisition Desk
4.9/10See what agents do on a page: hops, agents, doors, channels. Then place the product.
Agent Audience Index
4.9/10Who the audience is when your customers are agents, and how to be found by them.
Agent Channel Placement
4.9/10Placement across agent channels: MCP, Cursor, Claude, ChatGPT, npm, docs, Smithery, Glama.
Agent Crawl Readiness
4.9/10Bounded crawl-readiness check for agent access: robots.txt, sitemap.xml, llms.txt, homepage.
Agent Discovery Index
4.9/10Where AI agents discover products, and how to be listed there with measured results.
Agent Discovery Placement
4.9/10Labeled placement in agent discovery indexes, measured with daily HMAC nicknames.
Agent Facing Catalog
4.9/10Machine catalog for products that want agent clients: surfaces, hops, discovery paths.
Agent First Listing
4.9/10Agent-first product listing: JSON catalog, agent card, MCP door, hops, measured landings.
Agent Hops For Your Site
4.9/10Hops are 302s an agent followed to your site. Count them, attribute them, grow them.
Agent Lead Generation
4.9/10Leads from agents: hops attributed with a per-hop utm_id from discovery to trial to invoice.
Agent Marketing Index
4.9/10How to market a product to AI agents: readiness, placement, measurement, 7-day trial.
Agent Placement Trial
4.9/10Start a 7-day placement trial: card on file, cancel anytime, measured agent hops.
Agent Ready Website Check
4.9/10Check whether a website is readable by AI agents: robots, llms.txt, sitemap, HTML. Bounded.
Agent Traffic For Startups
4.9/10Bring AI agents to a startup's public pages through labeled placements and measured hops.
Agent Visibility Check
4.9/10Is this website visible to AI agents? Robots, llms.txt, sitemap, extraction, then placement.
Agents Find Your Product
4.9/10Make a product discoverable to agents: catalog, llms.txt, agent card, hops, MCP door.
Ai Agent Customers
4.9/10Reach AI agents that need a tool, and the humans who run them. Measured placements.
Get Agent Customers
4.9/10Place a product where AI agents discover tools; their operators become customers. 7-day trial.
List Api For Agents
4.9/10List a public API where AI agents discover tools, after a bounded readiness check.
Llms Txt Readiness
4.9/10Does a site publish llms.txt, robots permissions and a sitemap agents can use? Bounded check.
Product For Agents Index
4.9/10Index for products built for agents: readiness, placement, client center, 7-day trial.
Free · No spam
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.