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.
Skills Search
8.4/10Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
Strata
8.2/10Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Exa
8.2/10Fast, intelligent web search and web crawling. New mcp tool: Exa-code is a context tool for coding
Anki MCP Server
8.1/10A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application.
Registry
7.9/10Publish and discover MCP servers via the official MCP Registry. Powered by HAPI MCP server.
Qr Generator
7.7/10Generate QR codes for URLs, PIX, Wi-Fi, vCards, WhatsApp and more. For AI agents.
Docs MCP
7.6/10Tandem is the authority layer for AI-first work: runtime authority for agents, tools, memory, approvals, and audit trails.
Adeu
7.5/10docx ↔ LLM translator. Projects .docx to Markdown for editing. Projects edits back to OOXML as tracked changes. Python and Node.js implementations.
Spotdb
7.4/10Give your agents a secure, containerized SQL sandbox with MCP or API access enabled with DuckDB. No infra required, quick spin-up cycle. Push any CSV — query, analyze,…
Dbmcp
7.3/10Database MCP server for MySQL, MariaDB, PostgreSQL, and SQLite - with builtin PII redaction and write-prevention
MCP Server
7.2/10MCP server for Perspective AI. An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next…
Anki MCP Server Addon
7.1/10An Anki addon that implements an MCP server, enabling AI assistants to interact with Anki, the spaced repetition flashcard application.
Buywhere MCP
6.9/10BuyWhere MCP server — search and compare products from Singapore, SEA, and US markets via Model Context Protocol. Cross-border e-commerce product catalog for AI agents.
Drillr
6.9/10Drillr — the financial MCP for AI agents. Standardized financial data, SEC filings semantic search, live signals, and 24 alt-data categories.
Dossier
6.8/10MCP server for dossier automation standard - enables LLMs to discover, verify, and execute dossiers
Inflow
6.8/10MCP Server for agents to onboard, pay, and provision services autonomously with InFlow
Compel
6.7/10This repository contains public documentation and metadata for the hosted Compeller MCP server. The production service is hosted at https://compeller.ai/api/mcp. This repo does not contain the Compeller application…
Contabo
6.7/10HAPI MCP Server 😁 - Adopt MCP without rewriting your backend (Brownfield). Start from scratch with an API-First and AI-Ready approach (Greenfield).
Lenny Rachitsky Podcast
6.7/10HAPI MCP Server 😁 - Adopt MCP without rewriting your backend (Brownfield). Start from scratch with an API-First and AI-Ready approach (Greenfield).
HAPI MCP Server 😁 - Adopt MCP without rewriting your backend (Brownfield). Start from scratch with an API-First and AI-Ready approach (Greenfield).
Openai Tools
6.7/10HAPI MCP Server 😁 - Adopt MCP without rewriting your backend (Brownfield). Start from scratch with an API-First and AI-Ready approach (Greenfield).
Petstore
6.7/10HAPI MCP Server 😁 - Adopt MCP without rewriting your backend (Brownfield). Start from scratch with an API-First and AI-Ready approach (Greenfield).
Strava
6.7/10HAPI MCP Server 😁 - Adopt MCP without rewriting your backend (Brownfield). Start from scratch with an API-First and AI-Ready approach (Greenfield).
Computeback
6.7/10MCP server for Computeback — the Agent Rewards Marketplace + CB Hire B2B labor (paid in $NOMD on Base L2). Public source mirror of the npm package @autonomad1/computeback-mcp.
Buywhere MCP
6.7/10BuyWhere MCP server — search and compare products from Singapore, SEA, and US markets via Model Context Protocol. Cross-border e-commerce product catalog for AI agents.
Directory
6.6/10Indexed ecommerce site directory — vendor lookups, brands by city/market/founder. 10 tools.
Grep
6.6/10Parallel regex across all Boolsai scans — discover new vendor patterns, niche signals. 4 tools.
Scan
6.6/10Live tech-stack scan of any public site — vendors, account IDs, scripts, JSON-LD. 2 tools.
Signals
6.6/10Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.
Xmp4
6.6/10Public docs, install instructions, and issue tracker for xmp4 — the semantic code intelligence MCP server. Source code: 0ics-srls/lsai-xmp4 (private).
MCP Server
6.6/10Security tools for AI agents: scan MCP servers, validate HDP delegation chains, audit releases.
MCP Server
6.6/10Search AutoRFP.ai projects, requirements, content library, and tags for Q&A and analytics.
Directory
6.6/10Verified merchants accepting agentic payments on Lightning/L402/BOLT12/USDT — search, verify, pay.
Armor MCP
6.6/10Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
MCP Server
6.5/10Official MCP server for CueAPI. Give any MCP host coordinated agent work with verified handoffs.
Sac
6.4/10Give your AI agent the ability to respond with live, interactive apps that evolve.
MCP Explorium
6.4/10Access live company and contact data from Explorium's AgentSource B2B platform.
MCP Server
6.3/10MCP server for AgentTrust — A2A communication, agent identity, HITL escalation, and prompt injection detection
MCP Server
6.2/10Search companies, enrich contacts, and reveal emails and phones from your AI agent.
MCP Server
6.2/10Search bills and speaker-attributed hearing transcripts across all 50 US state legislatures.
Auxen
6.2/10Provision private AI model endpoints on dedicated GPUs (Llama, Qwen, Mistral). Pay per minute.
Server
6.2/10Public docs, manifest, and client configs for the hosted CalendarMCP service (calendarmcp.ai)
I18N Agent
6.0/10AI-powered translation for 48 languages with context-aware quality
Catalog Api
6.0/10Search 1.5M+ products across 20+ platforms. Compare prices, find deals, browse categories.
MCP Server
6.0/10Create, test, publish, and manage Dreamlit notification workflows from AI clients.
MCP Server
5.9/10Team-aware memory for AI coding assistants — intent tracking, decision history, real-time team conflict detection.
MCP Server
5.9/10Agent-native web hosting — deploy sites, manage DNS, register domains, scale infrastructure
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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.