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.
Kling MCP
4.1/10RunAPI MCP server for Kling: create tasks, poll status, check pricing.
Seedream MCP
4.1/10RunAPI MCP server for Seedream: create tasks, poll status, check pricing.
Suno MCP
4.1/10RunAPI MCP server for Suno: create tasks, poll status, check pricing.
Contest MCP
4.1/10Log amateur-radio QSOs to N3FJP logging software over its TCP API.
Inav MCP
4.1/10MCP server for iNAV flight-controller configuration and diagnostics
Gramps Web MCP
4.1/10MCP server for structured access to Gramps Web genealogy data
Adorbis MCP
4.1/10Adorbis AI MCP server. One key, 40+ models, auto-routed.
Dfxm Geo MCP
4.1/10MCP server for the dfxm-geo dark-field X-ray microscopy forward model
Capsule
4.1/10Compact, source-linked context packs that reduce token waste for coding agents.
Flux 2 MCP
4.1/10RunAPI MCP server for Flux 2: create tasks, poll status, check pricing.
Gemini Omni MCP
4.1/10RunAPI MCP server for Gemini Omni: create tasks, poll status, check pricing.
Gpt 4O Image MCP
4.1/10RunAPI MCP server for GPT-4o Image: create tasks, poll status, check pricing.
Gpt Image 2 MCP
4.1/10RunAPI MCP server for GPT Image 2: create tasks, poll status, check pricing.
Gpt Image MCP
4.1/10RunAPI MCP server for GPT Image: create tasks, poll status, check pricing.
Grok Imagine MCP
4.1/10RunAPI MCP server for Grok Imagine: create tasks, poll status, check pricing.
Hailuo MCP
4.1/10RunAPI MCP server for Hailuo: create tasks, poll status, check pricing.
Happyhorse MCP
4.1/10RunAPI MCP server for HappyHorse: create tasks, poll status, check pricing.
Ideogram V3 MCP
4.1/10RunAPI MCP server for Ideogram V3: create tasks, poll status, check pricing.
Imagen 4 MCP
4.1/10RunAPI MCP server for Imagen 4: create tasks, poll status, check pricing.
Infinitetalk MCP
4.1/10RunAPI MCP server for InfiniteTalk: create tasks, poll status, check pricing.
Luma MCP
4.1/10RunAPI MCP server for Luma: create tasks, poll status, check pricing.
Nano Banana MCP
4.1/10RunAPI MCP server for Nano Banana: create tasks, poll status, check pricing.
Qwen 2 MCP
4.1/10RunAPI MCP server for Qwen 2: create tasks, poll status, check pricing.
Recraft MCP
4.1/10RunAPI MCP server for Recraft: create tasks, poll status, check pricing.
Runway Aleph MCP
4.1/10RunAPI MCP server for Runway Aleph: create tasks, poll status, check pricing.
Runway MCP
4.1/10RunAPI MCP server for Runway: create tasks, poll status, check pricing.
Seedance MCP
4.1/10RunAPI MCP server for Seedance: create tasks, poll status, check pricing.
Topaz MCP
4.1/10RunAPI MCP server for Topaz: create tasks, poll status, check pricing.
Veo 3 1 MCP
4.1/10RunAPI MCP server for Veo 3.1: create tasks, poll status, check pricing.
Wan MCP
4.1/10RunAPI MCP server for Wan: create tasks, poll status, check pricing.
Z Image MCP
4.1/10RunAPI MCP server for Z Image: create tasks, poll status, check pricing.
Zyrax Guard
4.1/10Audit AI agent configs for prompt injection & rogue MCP servers; vet packages
Zdravo Cursor
4.1/10Persistent AI memory for Cursor. Save and search memories via Zdravo.
Brand Voice
4.1/10Enforce brand writing guidelines in Claude Code — PostToolUse hook + MCP server
Voicemode
4.1/10Natural voice conversations for AI assistants - STT/TTS via MCP
Ebay MCP
4.1/10eBay Browse API MCP server — buy-side listing search and price intelligence.
Memex
4.1/10Persistent session memory for Claude Code. Local SQLite, no LLMs, no network.
Katatan Test
4.1/10KATATAN E2E testing agent set — Playwright + KATATAN MCP integration
Solfleet
4.1/10Agent-safe fleet management for independent Solana validators and RPC nodes
Wsjtx MCP
4.1/10Operate WSJT-X (FT8/FT4/WSPR) from MCP clients over its UDP message protocol.
Conduct Cli
4.1/10List agents, trigger workflows, and enforce team AI policies with ConductGuard.
Feed Reader
4.1/10Fetch and read RSS/Atom feeds from any MCP client.
Refinery MCP
4.1/10Clean raw HTML into LLM-ready text before agents spend tokens.
Graphlens MCP
4.1/10Semantic code graph MCP server for coding agents
Printscale MCP
4.1/10Upscale images to print-ready files (TIFF/PNG/JPG) via PrintScale.
Janusmcp
4.1/10Multi-account tool broker for AI agents — CLI and MCP.
Debt Payoff MCP
4.1/10RETIRED - this server is discontinued and its backend is offline. Do not use.
Etsy Tags MCP
4.1/10RETIRED - this server is discontinued and its backend is offline. Do not use.
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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.