# awesome-mcp

> awesome-mcp — wundercorp-awesome-mcp. Use this tool when you need to discover and test Model Context Protocol servers, tools, and metadata in a secure environment. It provides a curated directory of MCP resources and isolated VM sandboxes for testing new servers before installation. Ideal for developers and users who want to explore and contribute to MCP ecosystems with ease.

Canonical page: https://skillsregistry.net/skills/wundercorp-awesome-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wundercorp-awesome-mcp

## Description

Curated directory of Model Context Protocol servers, tools, transports, categories, and contribution-ready MCP metadata.  Find customers for your MCP using the app below.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/wundercorp/awesome-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wundercorp-awesome-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wundercorp-awesome-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wundercorp-awesome-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt