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.
Xid Ok
4.3/10XID 20-char shape, value discarded
Xml Decl Ok
4.3/10XML declaration shape, markup discarded
Xml Ns Ok
4.3/10XML namespace count, markup discarded
Xor Len
4.3/10XOR-fold length, input discarded
Xx Len
4.3/10Xxencode charset, input discarded
Len
4.3/10XXH128 hex length, input discarded
Len
4.3/10XXH32 hex length, input discarded
Len
4.3/10XXH64 hex length, input discarded
Yaml Doc Ok
4.3/10YAML document-start count, body discarded
Yd M
4.3/10Yards to meters, number discarded
Acah Ok
4.3/10ACAH header-name count, value discarded
Acam Ok
4.3/10ACAM method token count, value discarded
Acao Ok
4.3/10ACAO star-or-origin, value discarded
Ang Nm
4.3/10Angstroms to nanometers, number discarded
Ansible Ok
4.3/10Ansible hosts group count, body discarded
Apk Ok
4.3/10APK ZIP local-file count, bytes discarded
Apkbuild Ok
4.3/10APKBUILD pkgname shape, body discarded
Arc Ok
4.3/10ARC-Seal tag count, value discarded
Arcmin Deg
4.3/10Arcminutes to degrees, number discarded
Arcsec Deg
4.3/10Arcseconds to degrees, number discarded
Ok
4.3/10Argon2d encoded shape, input discarded
Ok
4.3/10Argon2i encoded shape, input discarded
Arxiv Ok
4.3/10arXiv id version shape, value discarded
Asyncapi Ok
4.3/10AsyncAPI channel count, body discarded
At Did
4.3/10AT Protocol DID shape, value discarded
Authority Ok
4.3/10:authority host:port shape, value discarded
Barye Pa
4.3/10Barye to pascals, number discarded
Ok
4.3/10Base56 charset, input discarded
Ok
4.3/10Base91 charset, input discarded
Baudot Ok
4.3/10Baudot 5-bit band, input discarded
Bbl L
4.3/10Oil barrels to liters, number discarded
Bcrypt Rad
4.3/10bcrypt radix64 shape, input discarded
Beaufort Ms
4.3/10Beaufort to m/s, number discarded
Bencode Ok
4.3/10Bencode integer/dict prefix, input discarded
Ber Ok
4.3/10BER identifier octet, bytes discarded
Bimi Ok
4.3/10BIMI location URL shape, value discarded
Ok
4.3/10BinHex 4 colon frame, input discarded
Blueprint Ok
4.3/10API Blueprint group count, body discarded
Braille Ok
4.3/10Braille pattern count, input discarded
C K
4.3/10Celsius to kelvin, number discarded
Cable M
4.3/10Cables to meters, number discarded
Cf Ipcountry
4.3/10CF-IPCountry ISO2, value discarded
Cf Ray
4.3/10CF-Ray id hex shape, value discarded
Cf Visitor
4.3/10CF-Visitor scheme token, value discarded
Chain M
4.3/10Chains to meters, number discarded
Cicero Mm
4.3/10Ciceros to millimeters, number discarded
Cid Base32
4.3/10CIDv1 base32 prefix, value discarded
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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.