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.
Seedfast
3.9/10Generates relationally valid test data in a PostgreSQL database from its live schema.
Cadbridge MCP Autocad
3.9/10Control AutoCAD with AI: commands, read/edit/write drawing database, AutoLISP, scripts, PDF plots.
Control MCP Server
3.9/10Control AutoCAD with AI: commands, read/edit/write drawing database, AutoLISP, scripts, PDF plots.
Cad Control MCP Server
3.9/10Control AutoCAD with AI: commands, read/edit/write drawing database, AutoLISP, scripts, PDF plots.
Spryloom
3.9/10Publish apps from Claude Code, Codex or Cursor to your team, behind sign-in, with a database.
Auditai MCP
3.9/10Finds authorization holes in Next.js + Supabase apps and live Supabase databases. No API key.
MCP Server
3.9/10Generate referentially intact, distribution-realistic PostgreSQL synthetic data from AI assistants.
Datamcp
3.7/10PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
Live Tribe
3.7/10Japan's largest live house show database: search shows, artists, and venues
Elasticsearch Mongodb Redis Stack Generator Elasticsearch Elasticsearch
3.7/10Elasticsearch + MongoDB + Redis Stack Generator (Elasticsearch/Elasticsearch)
Elasticsearch Redis Mysql Stack Generator
3.7/10Elasticsearch + Redis + MySQL Stack Generator
Elasticsearch Redis Stack Generator
3.7/10Elasticsearch + Redis Stack Generator
Elasticsearch Redis Stack Generator Elasticsearch Elasticsearch
3.7/10Elasticsearch + Redis Stack Generator (Official Image)
Kafka And Postgres Monitoring Stack
3.7/10Kafka and Postgres Monitoring Stack
Kafka Minio Redis Stack Generator
3.7/10Kafka + MinIO + Redis Stack Generator
Kafka Redis Minio Stack Generator
3.7/10Kafka + Redis + MinIO Stack Generator
Memcached Mongodb Redis Compose Generator
3.7/10Memcached + MongoDB + Redis Compose Generator
Minio Postgres Redis Stack Generator
3.7/10MinIO + Postgres + Redis Stack Generator
Mysql Redis Compose Generator
3.7/10MySQL + Redis Compose Generator
Mysql Redis Compose Generator Adminer
3.7/10MySQL + Redis Compose Generator (Adminer)
Mysql Redis Compose Generator Nginx
3.7/10MySQL + Redis Compose Generator (Nginx)
Nats Mysql Redis Stack Generator
3.7/10Nats Mysql Redis Stack Generator
Postgres Grafana Stack Generator
3.7/10Postgres + Grafana Stack Generator
Postgres Kafka Prometheus Stack Generator
3.7/10Postgres + Kafka + Prometheus Stack Generator
Postgres Kafka Stack Generator
3.7/10Postgres + Kafka Stack Generator
Postgres Minio Stack Generator
3.7/10Postgres + MinIO Stack Generator
Postgres Prometheus Stack Generator
3.7/10Postgres + Prometheus Stack Generator
Postgres Redis Compose Generator
3.7/10Postgres + Redis Compose Generator
Rabbitmq Elasticsearch Mongodb Stack Generator
3.7/10RabbitMQ + Elasticsearch + MongoDB Stack Generator
Rabbitmq Elasticsearch Mysql Stack Generator
3.7/10RabbitMQ + Elasticsearch + MySQL Stack Generator
Rabbitmq Elasticsearch Postgres Stack Generator Mongo
3.7/10RabbitMQ + Elasticsearch + Postgres Stack Generator (Mongo)
Rabbitmq Postgres Mongodb Stack Generator
3.7/10RabbitMQ + Postgres + MongoDB Stack Generator
Rabbitmq Redis Stack Generator
3.7/10RabbitMQ + Redis Stack Generator
Redis Minio Postgres Stack Generator
3.7/10Redis + MinIO + Postgres Stack Generator
Mssql
3.7/10MCP server for Microsoft SQL Server — schema discovery, profiling, safe writes, and DDL
Mssql Reader
3.7/10Read-only MCP server for Microsoft SQL Server — schema discovery, profiling, safe querying
Node Server Orchestrator
3.7/10MCP server for orchestrating Node.js development servers (backend, frontend, databases, etc.)
MCP Server
3.7/10CloudQuery MCP server for asset inventory data. Supports CLI, PostgreSQL, and Platform modes.
Saij MCP
3.7/10Search Argentine legal databases: court decisions, legislation, summaries, doctrine
MCP Redis
3.7/10Natural language interface designed for agentic applications to manage and search data in Redis.
MCP Ordali Memory
3.7/10MCP server for Ordali memory: SQLite-backed project memory and governance traces.
Memorymesh
3.7/10Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
Sling Cli
3.7/10Sling CLI MCP server for querying any database, running data pipelines and managing replications
Dataxplan MCP
3.7/10Read PostgreSQL EXPLAIN plans for AI agents: bottlenecks, estimation errors, fixes, charts.
Bollard MCP
3.7/10An AI-powered, safe database access gateway built on the Model Context Protocol (MCP).
Meok Koikeeper Ai MCP
3.7/10Koi-pond MCP server — varieties database (Gosanke + secondary), pond stocking calc, koi-specific
Cluster Validator
3.7/10Read-only health validation for Windows Server failover clusters running SQL Server FCI.
Exoscale MCP
3.7/10MCP server for managing Exoscale cloud infrastructure — compute, Kubernetes, DNS, databases, storage
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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.