# Rovodev MCP Tool

> Use this tool when you need to perform deep code analysis and integrate AI capabilities into your development workflow. The Rovodev MCP Tool solves problems like repository-wide queries and file-specific analysis by providing a standard interface for AI assistants to leverage Rovo Dev's large context capabilities. It accepts code repositories and queries as input and outputs detailed analysis and insights, making it ideal for use cases that require advanced code understanding and automation.

Canonical page: https://skillsregistry.net/skills/jaggerxtrm-rovodev-mcp-tool  
JSON: https://api.skillsregistry.net/v1/skills/jaggerxtrm-rovodev-mcp-tool

## Description

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/viktgo8p7o)
- **Repository:** <https://github.com/Jaggerxtrm/rovodev-mcp-tool>

## 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": "jaggerxtrm-rovodev-mcp-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jaggerxtrm-rovodev-mcp-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jaggerxtrm-rovodev-mcp-tool/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