# devin-mcp

> Use this tool when you need to create, monitor, and manage Devin AI sessions. It solves problems related to AI session management, providing a centralized server for controlling and tracking AI activities. The tool accepts inputs for session creation and monitoring, and outputs session status and management data, ideal for use cases requiring centralized AI management.

Canonical page: https://skillsregistry.net/skills/desertaxle-devin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/desertaxle-devin-mcp

## Description

MCP server for creating, monitoring, and managing Devin AI sessions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qt6dw4aw7n)
- **Repository:** <https://github.com/desertaxle/devin-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": "desertaxle-devin-mcp"
    }
  }
}
```

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