Live · updated 9 hr ago 15,567 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 15,567
Categories 18
Official Servers 0
Remote-Hosted 7,436

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 All15,567 Git / Code9931 Other2100 Search1737 Filesystem588 Database407 Finance150 AI / ML126 Email111 Cloud86 Calendar70 Analytics55 Browser53 Design43 Docs32 DevOps32 Communication16 Web Scraping15 Productivity15
49–53 of 53 servers · Browser

Playwright MCP Server

3.7/10
com.thenextgennexus/playwright-mcp-server

Headless browser primitives for AI agents when sites need real JS rendering.

4.5Reliab.
5.0Docs
3.5Maint.
2.0Adopt.
Browser streamable-http Remote
Website → Remote →

Polls

3.7/10
com.basenull/polls

One-link team polls: create polls, vote, fetch results, and close polls.

4.5Reliab.
5.0Docs
3.5Maint.
2.0Adopt.
Browser streamable-http Remote
Website → Remote →

Reflex

3.7/10
com.reflexmcp/reflex

Browser automation for AI agents: compressed page snapshots, batched actions, fewer tokens.

4.5Reliab.
6.0Docs
3.5Maint.
1.0Adopt.
Browser stdio

Kogiqa MCP

3.7/10
com.atagon/kogiqa-mcp

This web browser has been designed to help your agent debug and develop complex web applications.

4.5Reliab.
6.0Docs
3.5Maint.
1.0Adopt.
Browser stdio

MCP Server

3.5/10
com.scrapingant/mcp

Cloud-based web access with real browsers and JS rendering by ScrapingAnt

4.5Reliab.
4.0Docs
3.5Maint.
2.0Adopt.
Browser Rust streamable-http Remote
Remote →
Weekly briefing

Free · No spam

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.