Open-source registry of MCP servers – structured metadata, tools, resources and install configs for the Model Context Protocol ecosystem.
概览
A community-maintained registry of MCP (Model Context Protocol) servers — structured, searchable, and integrated with the OpenModels ecosystem. This registry catalogs MCP servers that extend AI agents with tools, resources, and prompts. Each server entry includes: - — what the server does and what capabilities it exposes - — available tool definitions with input schemas - — exposed resources and prompt templates - — how to install and run the server - — category, tags, transport protocols, author, license Visit openmodels.run/mcp to search, filter, and compare MCP servers with a web UI. Or explore the YAML files directly in the servers/ directory. Each server detail page at openmodels.run/mcp/{server-id} includes an button that copies the install command to your clipboard and provides IDE-specific configuration snippets. 1. Fork this repository 2. Copy servers/_template.yaml to servers/{your-server-id}.yaml 3. Fill in your server details (see CONTRIBUTING.md) 4.
README
以下为原文 README 节选，完整内容请查看原文。
OpenModels MCP Server Registry
A community-maintained registry of MCP (Model Context Protocol) servers — structured, searchable, and integrated with the OpenModels ecosystem.
Stats
| Metric | Count |
|---|---|
| Servers | 230 |
| Categories | 11 |
| Transport types | 3 (stdio, sse, http-streaming) |
What is this?
This registry catalogs MCP servers that extend AI agents with tools, resources, and prompts. Each server entry includes:
- Description — what the server does and what capabilities it exposes
- Tools — available tool definitions with input schemas
- Resources & Prompts — exposed resources and prompt templates
- Install config — how to install and run the server
- Metadata — category, tags, transport protocols, author, license
Directory Structure
mcp/
├── servers/ # One YAML file per MCP server
│ ├── _template.yaml # Template for contributors
│ ├── arxiv.yaml
│ ├── aws-docs.yaml
│ ├── brave-search.yaml
│ ├── cloudflare.yaml
│ ├── context7.yaml
│ ├── docker.yaml
│ ├── elasticsearch.yaml
│ ├── exa.yaml
│ ├── expo.yaml
│ ├── fetch.yaml
│ ├── figma.yaml
│ ├── firecrawl.yaml
│ ├── filesystem.yaml
│ ├── git.yaml
│ ├── github.yaml
│ ├── grafana.yaml
│ ├── huggingface.yaml
│ ├── jira.yaml
│ ├── jupyter.yaml
│ ├── kubernetes.yaml
│ ├── linear.yaml
│ ├── memory.yaml
│ ├── mongodb.yaml
│ ├── neon.yaml
│ ├── notion.yaml
│ ├── perplexity.yaml
│ ├── playwright.yaml
│ ├── postgres.yaml
│ ├── puppeteer.yaml
│ ├── qdrant.yaml
│ ├── redis.yaml
│ ├── sentry.yaml
│ ├── sequential-thinking.yaml
│ ├── slack.yaml
│ ├── sqlite.yaml
│ ├── stripe.yaml
│ ├── supabase.yaml
│ ├── tavily.yaml
│ ├── time.yaml
│ ├── vercel.yaml
│ ├── vscode.yaml
│ ├── xcode.yaml
│ ├── aws.yaml
│ ├── terraform.yaml
│ ├── datadog.yaml
│ ├── posthog.yaml
│ ├── resend.yaml
│ ├── twilio.yaml
│ ├── clickhouse.yaml
│ └── chromadb.yaml
├── categories/
│ └── categories.yaml # Category definitions
├── schemas/
│ └── server.schema.json # JSON Schema (Draft 7) for validation
├── validate.py # Validation script
├── requirements.txt # Python dependencies (PyYAML, jsonschema)
├── CONTRIBUTING.md # Contribution guide
├── CHANGELOG.md # Version history
├── LICENSE # MIT
├── README.md # This file
└── VERSION # Current version (1.11.0)
Quick Start
Browse servers
Visit openmodels.run/mcp to search, filter, and compare MCP servers with a web UI.
Or explore the YAML files directly in the servers/ directory.
Install a server
Each server detail page at openmodels.run/mcp/{server-id} includes an Install MCP server button that copies the install command to your clipboard and provides IDE-specific configuration snippets.
Add a new server
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →