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.

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Category All5,632 Git / Code3579 Search808 Other629 Filesystem202 Database166 AI / ML42 Email39 Finance28 Cloud27 Calendar20 Browser19 Analytics16 Docs14 DevOps12 Productivity10 Design9 Web Scraping7 Communication5
1–5 of 5 servers · Communication

Danushkumar V MCP Discord

5.4/10
ai.smithery/Danushkumar-V-mcp-discord

Implement Discord MCP server enabling AI assistants to interact with the Discord platform.

8.0Reliab.
7.0Docs
4.5Maint.
2.0Adopt.
Communication TypeScript streamable-http Remote 6 mo ago
Repo → Remote →

Sms MCP

4.9/10
com.mobile-text-alerts/sms-mcp

The Mobile Text Alerts SMS MCP server enables your AI to send SMS messages & manage contacts

6.5Reliab.
8.0Docs
3.5Maint.
2.0Adopt.
Communication streamable-http Remote
Repo → Website → Remote →

MCP Server

4.7/10
com.infobip/mcp

Infobip MCP server for omnichannel communication and messaging. SMS, RCS, WhatsApp, Viber and more.

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

Sachicali Discordmcp Suite

3.9/10
ai.smithery/sachicali-discordmcp-suite

Control your Discord community: send/read messages, manage channels and forums, and handle webhook…

4.5Reliab.
6.0Docs
3.5Maint.
2.0Adopt.
Communication streamable-http Remote
Remote →

MCP Hub

3.9/10
church.ai.mcp/mcp-hub

Connect your AI assistant to your Telegram. Browse chats, read and summarize messages.

4.5Reliab.
6.0Docs
3.5Maint.
2.0Adopt.
Communication streamable-http Remote
Remote →
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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.