outflow-mcp

outflow-mcp

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.

Category
访问服务器

README

outflow-mcp

An MCP (Model Context Protocol) server that exposes a live Outflow architecture graph 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.

It's a thin client over Outflow's existing /api/v1 REST API and the workspace graph routes — no graph logic is duplicated here.

This package is developed inside the main Outflow monorepo but published from a standalone public mirror: https://github.com/laurells/outflow-mcp — that's the repo MCP registries/crawlers point at, and where npm publish runs from. Changes here get synced there before each release.

Setup

  1. Create an API key for the workspace you want to expose. In Outflow, go to workspace settings → API Keys → create one. The raw key (ofk_...) is shown once — copy it.
  2. Find your workspace ID — it's in the workspace URL (.../workspace/<id>/...) or workspace settings.
  3. Build the server:
    cd packages/mcp-server
    npm install
    npm run build
    
  4. Add it to your MCP client config. For Claude Code, add to your MCP settings (claude mcp add or the equivalent config file):
    {
      "mcpServers": {
        "outflow": {
          "command": "node",
          "args": ["/absolute/path/to/outflow/packages/mcp-server/dist/index.js"],
          "env": {
            "OUTFLOW_BASE_URL": "https://your-outflow-domain.com",
            "OUTFLOW_API_KEY": "ofk_...",
            "OUTFLOW_WORKSPACE_ID": "your-workspace-id"
          }
        }
      }
    }
    
    For local development, OUTFLOW_BASE_URL defaults to http://localhost:3000 if omitted.

Tools

Tool Use it to ask
find_node Is this file tracked? What's its ID?
list_nodes What's deprecated / low health / a given type?
get_dependencies What does this file rely on?
get_impact What breaks if I change this file? (blast radius)
find_path How are these two files connected?
get_architecture_health What's the overall health grade and at-risk nodes?
find_architecture_smells Any circular deps, god nodes, or dead code right now?
get_architecture_graph Give me the whole graph at a zoom level.
get_last_session_recap What happened in my last coding session?

All tools that take a path accept a partial match (e.g. "ApiClient" will match src/ApiClient.ts) — you never need to know Outflow's internal file::/method:: ID format. An ambiguous partial match returns an error listing the candidates instead of guessing.

Notes

  • This package is standalone — it is never bundled into server/ or web/, and has no build-time dependency on them. It only talks to a running Outflow instance over HTTP using an API key, so it works equally well pointed at localhost or a deployed instance.
  • get_dependencies/get_impact and find_architecture_smells/find_path call workspace graph routes that (as of this package's introduction) were extended to accept Authorization: Bearer ofk_... alongside the existing cookie-session auth — see server/src/graph/pathRouter.ts and smellsRouter.ts.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选