# Awesome-MCP-Servers-directory

> Awesome-MCP-Servers-directory — habitoai-awesome-mcp-servers-directory. Use this tool when you need to discover and utilize Model Context Protocol (MCP) servers for various applications, such as developing AI models or integrating MCP functionality into projects. It provides a comprehensive directory of MCP servers categorized by functionality, allowing for easy browsing and selection. With git capabilities, users can access and contribute to the repository, making it a valuable resource for developers and AI enthusiasts.

Canonical page: https://skillsregistry.net/skills/habitoai-awesome-mcp-servers-directory  
JSON: https://api.skillsregistry.net/v1/skills/habitoai-awesome-mcp-servers-directory

## Description

A comprehensive collection of Model Context Protocol (MCP) servers categorized by functionality. This repository helps developers and AI enthusiasts discover and utilize the wide array of available MCP servers for various applications.

## Trust

- **Trust score (0–1):** 1.00
- **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/habitoai/Awesome-MCP-Servers-directory)

## 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": "habitoai-awesome-mcp-servers-directory"
    }
  }
}
```

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