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.
Fastmetal
4.1/10Run and compare LLMs, generate images and video, with the real yen cost returned per call.
Agent Recruitment
4.1/10Public read-only discovery of agent, model, training, task, and verification opportunities.
Fulfillment
4.1/10Print-on-demand fulfillment: manage orders, catalog and account from AI clients. Writes ask first.
Spec Committee
4.1/10Commission a multi-model AI spec committee from your agent; get rubric-scored, build-ready specs.
Great Arrow
4.1/10Shared memory and actions for Claude, Kiro, OpenAI, Cursor, and other MCP-compatible AI clients.
Compute
4.1/10Deterministic engineering solvers: biquad filter design, room eigenmodes, LLM VRAM fit.
Public Videos
4.1/10Read-only public LoveTheNorth video discovery; no writes, private data, or model-training access.
MCP Server
4.1/10Text, image and reference-to-video across many AI video models. Musevate account required.
Lookup
4.1/10VESA pattern, dimensions and weight per TV or monitor model, from the makers' manuals. Read-only.
Markdown Lane Check
4.1/10Six checks: llms.txt, llms-full.txt, .md twins, Accept: text/markdown, sitemap.md, alt link. Free.
Seo Geo MCP
4.1/10SEO + GEO tools in your AI editor: scan as ChatGPT and Google crawlers see it, fix order, llms.txt.
Spendline
4.1/10Enforce AI budgets before the model call and track cost per customer across 10 providers.
Tesla Collision Parts
4.1/10Tesla Model 3 and Model Y collision parts by OE number. CAD prices, ships Canada-wide, read-only.
Equity Rank
4.1/10Model fair value estimates, margin-of-safety differentials and quality scores for 3,000 U.S. stocks.
Toolbox
4.1/10People analytics + compensation as MCP tools: JobFrame, pay modeling, wage compliance, HR metrics
X402 Tools
4.1/1061 x402 pay-per-call tools that chain: each answer names the next call. No API key, no account.
Coolant
4.1/10Instruments for what a model cannot know on its own: time, randomness, DNS, hashes, receipts.
Site
4.1/10Sell My Business Quotes: the site's own MCP server — dataset, enquiry (enquiry = a human...
Redact
4.1/10Redact PII from text before it reaches a model. Nothing stored, no third-party AI.
Viewmax
4.1/10Generate AI video from any MCP client. Pick the model, see the per-second price before you spend.
Aanet MCP
4.1/10Multi-agent coordination outside your LLM context: dedupe parallel work, per-agent budgets, handoff
Gardenscript
4.1/10Simulate farms, validate GardenScript and compare policies with Rust. No outbound LLM calls.
Apidrift
4.1/10Alerts on breaking changes, deprecations, and pricing shifts across major LLM provider APIs.
Killcord
4.1/10Dead-man's switch for Anthropic API spend: kills the key the instant it crosses a limit you set.
Synap
4.1/10Open AI models through one OpenAI-compatible API: chat, live model list, prices and cost estimates.
Llm Red Team Scanner
4.1/1035-probe LLM/agent security red-team scan (injection, jailbreak, MCP abuse) with report.
Nuramem
4.1/10Cross-model memory for people and teams: one memory every AI you use loads at session start.
Euphronios
4.1/10Generate and edit images, video, voice, lip-sync and 3D models from your AI agent.
Zrev
4.1/10Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.
Paid MCP
4.1/10Pay-per-call MCP tools over x402 (USDC/Solana): LLM, utilities, x402 market and model prices.
Ai Compute Radar
4.1/10Which open models fit your GPU or Mac, measured. Model momentum, GPU rental prices, weekly pick.
Topology Index
4.1/10Reference for multi-agent LLM topologies: patterns, aliases, sources, starters; one gated report.
Llmpress
4.1/10Agent-only long-form publishing: articles, notes, replies and follows under the agent's own byline.
Audit
4.1/10One-call audit: robots.txt AI-bot rules, llms.txt, JSON-LD, meta tags, sitemap. Score plus fixes.
Tools
4.1/10Read-only machine-vision calculations for optics, interfaces, line scan, sensors, and models.
Crivum
4.1/10Score academic and professional writing against published criteria with three reference models.
Hardcopy
4.1/10Order real 3D prints from chat: send an STL or OpenSCAD model, see one price, get it by UPS.
Tideline
4.1/10Published end-of-day state of a rules-based SPY/QQQ index model. Read-only. Free tier: 30-day delay.
Canonsheet
4.1/10Consistent prompts for one human character across image and video models. Paid per call, x402.
Pagemd
4.1/10Read any public web page as clean Markdown for LLMs, with its metadata. Paid per call, x402.
MCP Server
4.1/10Explainable model signals, drivers, news sentiment, SEC filings and macro data for US stocks.
Electionsmcp
4.1/10Model and map any 2028 U.S. race down to the precinct: scenarios, swing, turnout, and roll-ups.
Eor Data
4.1/10Cited EOR provider fees, coverage and models, plus employer costs in 139 countries.
MCP Server
4.1/10Independent measurements of how 12 AI models answer brand questions in Chinese and English.
Mural
4.1/10A public mural painted only by AI agents. Zero inference: bring your own image; a human curates.
Solano
4.1/10Marine and outdoor weather: multi-model forecasts, official bulletins, tides, anchorages.
Car Insurance
4.1/10Israeli car data by plate or model, licence fee, recalls, thefts and car-insurance facts.
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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.