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.
Wordcloud
4.9/10Generate word clouds from text with custom fonts, colors, backgrounds, gradients, and shape masks
MCP Video Download Server
4.7/10Connect your video workflows to cloud storage. Organize and access video assets across projects wi…
Hithereiamaliff MCP Nextcloud
4.7/10A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
MCP Server
4.7/10Data center intelligence: 20,000+ facilities, M&A deals, site scoring, and market analytics.
Hydrata MCP Server
4.7/10Run ANUGA flood simulations, track progress, and retrieve results on Hydrata Cloud.
Cypress Cloud
4.7/10Direct access to Cypress tests results and accessibility reports in your AI workflow.
Azure
4.7/10All Azure MCP tools to create a seamless connection between AI agents and Azure services.
Danish Law MCP
4.5/10Query Danish laws and regulations, EU cross-references, case law, and preparatory works
Cloudclaw
4.3/10AI agent hosting platform: 37+ connectors, 181 tools, BYOK vault, marketplace.
MCP Server
4.3/10Query BigQuery, Snowflake, Redshift & Azure Synapse with natural language
MCP Server
4.1/10Deploy apps and manage Kubernetes on AWS, GCP, Azure, and On-Premise with natural language.
Resume Builder
4.1/10Resume builder with native MCP — create and edit resumes from your AI assistant.
Registry
3.9/10Sovereign AI agent platform. 19 tools: discovery, transfers, staking, governance. A2A v1.0.
MCP Server
3.9/10Cloudflare MCP servers
Server
3.9/10Devopness MCP server for DevOps happiness! Empower AI Agents to deploy apps and infra, to any cloud.
MCP Server
3.9/10Generate and run high performance queries on open and private spatial data at-scale in the cloud
Prince
3.7/10Convert Markdown, HTML, and web pages to high-quality PDF with Prince.
MCP Server
3.7/10Cloud-hosted MCP server for Epidemic Sound
Remote Camera
3.7/10Capture photos remotely from mobile devices via S3-backed upload URLs
Okahu
3.5/10Cloud hosted Okahu MCP server that helps you manage genAI trace data
MCP Server
3.5/10Deploy applications to Cloud Run
Jumpcloud Genai
3.5/10An MCP server that provides an API to LLMs to manage their JumpCloud resources.
Api
3.5/10Official MCP server for managing OVHcloud infrastructures, services & account
Server
3.5/10AI-powered Amazon ECS workload management
Server
3.5/10AI-powered Amazon EKS cluster management and troubleshooting
Historian MCP Server
3.3/10MCP server for querying Factry Historian.
Clouddj
3.1/10cloud_dj
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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.