# awesome-mcp-servers

> awesome-mcp-servers — tensorblock-awesome-mcp-servers. Use this tool when you need to access a wide range of Model Context Protocol (MCP) servers for various modeling tasks, solving problems related to model management and deployment. It provides a comprehensive collection of MCP servers, accepting git inputs and outputting relevant model context information. Use it in contexts where model management and integration are crucial, such as machine learning workflows and data science projects.

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

## Description

A comprehensive collection of Model Context Protocol (MCP) servers

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

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

## Source

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

## 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": "tensorblock-awesome-mcp-servers"
    }
  }
}
```

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