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.
Design Engine
3.9/10AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
MCP Server
3.9/10MCP server for managing FormDesigner forms, fields, logic rules, themes, and entries
Flowgraf
3.9/10Create and edit architecture diagrams from your AI agent; get an SVG and a live editable canvas.
Ufp
3.9/10Turn designs into shipped parts: quote 3D printing, CNC, and decals, then check out.
Heliciel
3.9/10Real BEM engineering for propellers, wings and turbines — design, optimize, visualize, export.
Alchemite MCP
3.9/10Design experiments and make predictions for materials & chemicals properties in your local agent
Layoutbridge Spm
3.9/10layoutbridge-spm – MCP server for Adobe® InDesign®: pages, frames, text, styles, tables, export
Dcykjz
3.7/10Open Design MCP capability governed by DigitalPipe.
Lemonvite
3.7/10Create, design and send event invitations, manage guest lists, and track RSVPs.
Human Design
3.7/10Bodygraph, centres, channels, incarnation cross, penta and group overlay.
Fluxsocial
3.7/10Write, design and publish Instagram and TikTok posts from your AI assistant.
MCP Server
3.7/10Run accessibility, contrast, and design token audits and file QA issues from your AI coding tool.
Modmillennialdesigns
3.5/10AI-native commerce infrastructure for modmillennialdesigns.
Stage1
3.5/10Stage1 Inspector — local website capture, evidence views and design comparison
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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.