Live · updated 8 hr ago 5,632 Servers Scored

The MCP Server Directory

Every Model Context Protocol server, scored on reliability, documentation, maintenance, and adoption. Independent, opinionated, refreshed daily from the official registry.

Servers 5,632
Categories 18
Official Servers 0
Remote-Hosted 1,944

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.

Browse & filter
Top score Most stars Newest
Category All5,632 Git / Code3579 Search808 Other629 Filesystem202 Database166 AI / ML42 Email39 Finance28 Cloud27 Calendar20 Browser19 Analytics16 Docs14 DevOps12 Productivity10 Design9 Web Scraping7 Communication5
1–7 of 7 servers · Web Scraping

Badroobot Test M

5.0/10
ai.smithery/BadRooBot-test_m

Send quick greetings, scrape website content, and generate text or images on demand. Perform web s…

6.5Reliab.
7.0Docs
4.5Maint.
2.0Adopt.
Web Scraping Python streamable-http Remote 6 mo ago
Repo → Remote →

Arjunkmrm Scrapermcp El

4.7/10
ai.smithery/arjunkmrm-scrapermcp_el

Extract and parse web pages into clean HTML, links, or Markdown. Handle dynamic, complex, or block…

6.5Reliab.
7.0Docs
3.5Maint.
2.0Adopt.
Web Scraping streamable-http Remote
Repo → Remote →

Test M

4.7/10
ai.smithery/blacklotusdev8-test_m

Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference…

6.5Reliab.
7.0Docs
3.5Maint.
2.0Adopt.
Web Scraping streamable-http Remote
Repo → Remote →

Apify MCP Server

4.7/10
com.apify/apify-mcp-server

Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡

6.5Reliab.
7.0Docs
3.5Maint.
2.0Adopt.
Web Scraping streamable-http Remote
Repo → Remote →

Aeo Audit

4.7/10
no.synligdigital/aeo-audit

AEO audit: score any website 0-100 for AI visibility. Checks schema, meta, content, AI crawlers.

6.5Reliab.
7.0Docs
3.5Maint.
2.0Adopt.
Web Scraping streamable-http Remote
Repo → Remote →

MCP Server

4.5/10
io.alterlab/mcp-server

Web scraping MCP server — scrape, extract structured data, screenshot any site with anti-bot bypass.

6.5Reliab.
7.0Docs
3.5Maint.
1.0Adopt.
Web Scraping stdio
Repo →

MCP Server

4.5/10
io.scrapfly.mcp/mcp

Scrape any website, extract structured data, and collect web content at scale with AI agents

6.5Reliab.
7.0Docs
3.5Maint.
1.0Adopt.
Web Scraping stdio
Repo →
Weekly briefing

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New servers, score changes, breakages

Every Monday: what shipped, what broke, what's worth trying. Five minutes. No filler.

How scoring works

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.
Frequently asked

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.