# Jules MCP Server

> Jules MCP Server — cavuminfundo-jules-mcp-server. Use this tool when you need to integrate AI agents with Google Jules AI for automated execution and monitoring. It solves problems of AI workflow automation, inspection, and mentoring by providing a bridge for AI agents to interact with Jules AI via HTTP, SSE, or Stdio transport. This tool is ideal for enterprise environments requiring scalable and reliable AI execution management.

Canonical page: https://skillsregistry.net/skills/cavuminfundo-jules-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cavuminfundo-jules-mcp-server

## Description

Provides an enterprise-ready bridge for AI agents to inspect, mentor, plan, and automate Google Jules AI execution sessions via HTTP, SSE, or Stdio transport.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g9oasq7fxw)
- **Repository:** <https://github.com/cavuminfundo/jules-mcp-server>

## 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": "cavuminfundo-jules-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cavuminfundo-jules-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cavuminfundo-jules-mcp-server/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