GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
MCP server exposing an Outflow workspace's live architecture graph as context for AI coding agents
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OUTFLOW_BASE_URL, OUTFLOW_API_KEY, OUTFLOW_WORKSPACE_IDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"outflow": {
"command": "npx",
"args": [
"-y",
"outflow-mcp"
],
"env": {
"OUTFLOW_BASE_URL": "your-value",
"OUTFLOW_API_KEY": "your-value",
"OUTFLOW_WORKSPACE_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add outflow --env OUTFLOW_BASE_URL=your-value --env OUTFLOW_API_KEY=your-value --env OUTFLOW_WORKSPACE_ID=your-value -- npx -y outflow-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"outflow": {
"command": "npx",
"args": [
"-y",
"outflow-mcp"
],
"env": {
"OUTFLOW_BASE_URL": "your-value",
"OUTFLOW_API_KEY": "your-value",
"OUTFLOW_WORKSPACE_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"outflow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"outflow-mcp"
],
"env": {
"OUTFLOW_BASE_URL": "your-value",
"OUTFLOW_API_KEY": "your-value",
"OUTFLOW_WORKSPACE_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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OUTFLOW_BASE_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account laurells, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: OUTFLOW_API_KEY, OUTFLOW_WORKSPACE_ID
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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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.
ofk_...) is shown once — copy it..../workspace/ /...) or workspace settings. 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.
| 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.
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.