# outflow-mcp

> outflow-mcp — laurells-outflow-mcp. Use this tool when you need to analyze and understand the dependencies within your code repository, identify potential breaking changes, or detect circular dependencies. The outflow-mcp server provides a live architecture graph as context for AI coding agents, allowing them to query dependencies and changes in real-time. It takes in repository data as input and outputs a graph that can be queried by MCP-compatible clients like Claude Code or Claude Desktop.

Canonical page: https://skillsregistry.net/skills/laurells-outflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/laurells-outflow-mcp

## Description

An MCP (Model Context Protocol) server that exposes a live Outflow architecture graph of a repository as context for AI coding agents — Claude Code, Claude Desktop, or any other MCP-compatible client. Lets an agent ask "what does this file depend on", "what breaks if I change this", or "did my last batch of edits introduce a circular dependency" against your workspace's real, currently-live graph.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xx48ab0ge1)
- **Repository:** <https://github.com/laurells/outflow-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": "laurells-outflow-mcp"
    }
  }
}
```

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