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.
Callmybot Domoticz
4.7/10Greet anyone by name with a friendly hello. Explore the origin of 'Hello, World' for context in de…
Callmybot Hello MCP Server
4.7/10Generate quick, friendly greetings by name. Personalize salutations for any context. Explore the o…
Openai Api Agent Project123123123
4.7/10Look up the latest stock prices by ticker symbol across global markets. Get current price and esse…
Kirbah MCP Youtube
4.7/10Provide token-optimized, structured YouTube data to enhance your LLM applications. Access efficien…
Kkjdaniel Bgg MCP
4.7/10BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retr…
Token Oracle
4.7/10Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
Rostro
4.7/10Turn any LLM multimodal; generate images, voices, videos, 3D models, music, and more.
MCP Server
4.7/10MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
Roundtable
4.7/10Multi-model AI debates: GPT-4o, Claude, Gemini & 200+ models discuss, then synthesize insight.
MCP Server
4.7/10Consult a multi-model panel on contested decisions via MCP: architecture, plan review, strategy.
MCP Server
4.7/10MCP server for Pentest-Tools.com: run scans, manage findings and reports via your preffered LLM.
Driftoracle
4.7/10DriftOracle - 15 tools for model/data drift monitoring: PSI, KS-test, alerts, evidence packs.
Sentinelx
4.7/10Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.
Options Analysis Suite MCP
4.7/10Options analytics: 17 pricing models, 17 Greeks, GEX, IV, 23 screeners, unusual, dark pool, max pain
MCP Server
4.7/10Connect AI assistants to your product operating model — OKRs, strategy, and discovery.
Api MCP
4.7/10Gateway between LLM agents and world data through eight tools and a bundled endpoint catalog.
Aigist
4.7/10Publish & manage shareable HTML/Markdown pages from your LLM, with access control.
Concordance
4.7/10Deterministic claim verification with receipts across ~60 domains. No model in the loop.
Census
4.7/10List reverse-ETL sources, destinations, models, syncs and runs; trigger syncs into SaaS tools.
Trading MCP
4.7/1072 x402 endpoints: trading, AI inference, blockchain, escrow. USDC on Base+Solana.
MCP Server
4.7/10MCP server for Tessera's LLM cost-optimization layer: anchored spend, drift, recommendations.
MCP Server
4.7/10Pay-per-call AI + web + on-chain tools over x402 (USDC on Base): LLM, SEO, extract, token safety.
MCP Server
4.7/10Model Context Protocol server for Monnet — motions, plans, and approvals for MCP-compatible clients.
Mockserver
4.7/10Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
Council
4.7/10Multi-model consensus: 2-6 frontier LLMs answer, an independent judge synthesises one answer.
MCP Model Router
4.7/10MCP server for the @agentutility model-router cluster — pay-per-call x402 tools, no API keys, USDC…
MCP Server
4.7/10Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.
Animica
4.7/10Read-only Animica chain data, free AI inference, verifiable quantum randomness, and mining stats.
Districtapi MCP
4.7/10US public school districts and schools by address — enrollment, demographics, boundaries
MCP Server
4.7/10Was this document edited, did its redactions hold, is it safe for a model to read — Tamperlens API.
Weckr
4.7/10Ask which of your customers cost more in LLM calls than they pay, per user and per feature.
Markdown
4.5/10Convert any URL to clean, LLM-ready Markdown
Ai
4.5/10LLM chat, text summarization and AI image generation
Dossier
4.5/10MCP server for dossier automation standard - enables LLMs to discover, verify, and execute dossiers
Security
4.5/10Scan prompts for injection attacks, redact PII, and audit LLM SDK usage from any MCP client
MCP Server
4.5/10Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.
Forge
4.5/10MCP server for Forge, Voxell's hosted text-embedding API. Tools: embed and list_models.
Powerbi Modeling MCP
4.5/10The Power BI Modeling MCP Server brings Power BI semantic modeling capabilities to your AI agents.
MCP Server
4.5/1063 paid services via USDC: crypto analytics, satellite, IoT, AI inference, prediction markets.
MCP Server
4.5/10File conversion for AI agents: office docs, PDF to Word, video, and LLM-ready markdown via API.
Server
4.5/10One MCP tool contract for telephony — any call provider, hosted, local, or BYOK.
Sema
4.5/10MCP tools for Sema — eval, compile, build, format, and docs for a Lisp with LLM primitives.
MCP Agent Accessibility Auditor
4.5/10Audit whether an AI agent can read a site: llms.txt, robots AI rules, structured data.
Image Gen
4.5/10Generate and edit images from your coding agent with Gemini and OpenAI, using your own API keys.
MCP Server
4.5/10Leanroute MCP: route to 13 LLM providers, check pricing/usage/credit, manage keys from any agent.
Moltarch
4.3/10Marketing intelligence API for AI agents. Real campaign data, not LLM guesses.
MCP Server
4.3/10A Model Context Protocol server for Wix AI tools
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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.