Live · updated 10 hr ago 9,792 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 9,792
Categories 18
Official Servers 0
Remote-Hosted 3,995

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 All9,792 Git / Code6332 Search1241 Other1167 Filesystem365 Database252 AI / ML72 Finance58 Email58 Cloud53 Analytics37 Calendar36 Browser31 Docs23 DevOps22 Design16 Productivity14 Web Scraping9 Communication6
49–53 of 53 servers · Cloud

Api

3.5/10
com.ovhcloud.eu.mcp/api

Official MCP server for managing OVHcloud infrastructures, services & account

4.5Reliab.
4.0Docs
3.5Maint.
2.0Adopt.
Cloud streamable-http Remote
Remote →

Server

3.5/10
aws.api.us-east-1.ecs-mcp/server

AI-powered Amazon ECS workload management

4.5Reliab.
5.0Docs
3.5Maint.
1.0Adopt.
Cloud stdio
Website →

Server

3.5/10
aws.api.us-east-1.eks-mcp/server

AI-powered Amazon EKS cluster management and troubleshooting

4.5Reliab.
5.0Docs
3.5Maint.
1.0Adopt.
Cloud stdio
Website →

Historian MCP Server

3.3/10
cloud.factry.portal/historian-mcp-server

MCP server for querying Factry Historian.

4.5Reliab.
4.0Docs
3.5Maint.
1.0Adopt.
Cloud stdio

Clouddj

3.1/10
live.alpic.clouddj-ce0f8cfd/clouddj

cloud_dj

4.5Reliab.
2.0Docs
3.5Maint.
2.0Adopt.
Cloud 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.