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.
Field Route Manifest Workbench
3.1/10Build a dispatch manifest.
Inventory Fulfillment Reservation Complete
3.1/10Plan a lot allocation.
Inventory Fulfillment Reservation Identifier
3.1/10Plan a lot allocation.
Invoice Rounding Guidance Workbench
3.1/10Calculate an invoice summary.
Processing Capacity Profile Complete
3.1/10Select a processing profile.
Processing Capacity Profile Identifier
3.1/10Select a processing profile.
Profile Setting Key Complete
3.1/10Choose a profile setting key.
Profile Setting Key Identifier
3.1/10Choose a profile setting key.
Release Branch Policy Workbench
3.1/10Assess a release branch.
Repository Release Changes Workbench
3.1/10Publish a release-note entry.
Reviewer Group Complete
3.1/10Select a reviewer group.
Reviewer Group Identifier
3.1/10Select a reviewer group.
Revision Handling Guidance Complete
3.1/10Set account merge guidance.
Revision Handling Guidance Identifier
3.1/10Set account merge guidance.
Revision Handling Guidance Workbench
3.1/10Merge an account revision.
Rollout Region Complete
3.1/10Select a rollout region.
Rollout Region Identifier
3.1/10Select a rollout region.
Rollout Region Workbench
3.1/10Register a deployment region.
Supplier Name Resolution Workbench
3.1/10Reconcile supplier names.
Supplier Purchase Draft Workbench
3.1/10Create a purchase draft.
Translation Job Setting Complete
3.1/10Plan a translation setting.
Iceberg MCP Server
2.9/10MCP Server for Apache Iceberg
Crypto Bytes
2.9/10Crypto Bytes MCP Server
Limeflight MCP
2.9/10DEPRECATED – do not use
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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.