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.
MCP Server
4.9/10Connect AI tools to Trilo workspaces — manage tasks, messages, pages, calendars, meetings, and more.
Post Assembly
4.9/10Editorial tools for LinkedIn. Capture ideas, draft posts, build narrative arcs, manage a schedule.
Mayla Debug MCP Google Calendar2
4.7/10Schedule and manage Google Calendar events directly from your workspace. Check availability, view…
Mjucius Cozi MCP
4.7/10Manage your family's calendars and lists in Cozi. View, create, and update appointments; organize…
Mrugankpednekar MCP Optimizer
4.7/10Optimize crew and workforce schedules, resource allocation, and routing with linear and mixed-inte…
Workiq Calendartools
4.7/10Calendar tools for creating, updating, deleting events, managing invites, and checking availability.
Gcal
4.7/10A MCP server that works with Google Calendar to manage event listing, reading, and updates.
MCP Server
4.7/10Incident management, on-call scheduling, and intelligent analysis powered by Rootly.
MCP Server
4.7/10AI-powered product management: backlog optimization, scheduling, forecasting, and PRD generation.
Syncline MCP Server
4.7/10Syncline MCP Server (TypeScript) - AI-powered meeting scheduling with intelligent auto-scheduling
Syncline MCP Server Go
4.7/10Syncline MCP Server (Go) - AI-powered meeting scheduling with intelligent auto-scheduling
Syncline MCP Server Python
4.7/10Syncline MCP Server (Python) - AI-powered meeting scheduling with intelligent auto-scheduling
MCP Server
4.5/10Manage your Twitter/X presence from any AI assistant — schedule, threads, and more
MCP Server
4.3/10Open protocol for booking and scheduling professional services via AI agents
Server
4.1/10Family calendar, tasks, meals, lists & rewards hub for AI assistants.
Icloud Calendar MCP
4.1/10MCP server for iCloud (Apple) Calendar access via CalDAV
MCP Server
3.9/10Agent-first meeting schedule polls for humans and agents. Create polls, vote, find times.
Funding Machine Ghl MCP Fundingmachine
3.9/10Automate GoHighLevel across CRM, messaging, calendars, marketing, e-commerce, and billing. Manage…
MCP Server
3.9/10AI-native scheduling and booking: check availability, book meetings, share links.
MCP Server
3.7/10AI-powered meeting scheduling with intelligent auto-scheduling for Claude and AI agents.
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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.