Outflow MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 27 installs a week from npm. Last commit 17 Jul 2026.
MCP server exposing an Outflow workspace's live architecture graph as context for AI coding agents
Today is the operative word: we check Outflow MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add outflow-mcp -- npx -y outflow-mcp
{
"mcpServers": {
"outflow-mcp": {
"args": [
"-y",
"outflow-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.outflow-mcp]
command = "npx"
args = ["-y", "outflow-mcp"]
{
"mcpServers": {
"outflow-mcp": {
"args": [
"-y",
"outflow-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"outflow-mcp": {
"args": [
"-y",
"outflow-mcp"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
OUTFLOW_BASE_URL (Base URL of your running Outflow instance. Defaults to http://localhost:3000 if omitted.), OUTFLOW_API_KEY (API key for the workspace to expose. Create one from workspace settings in Outflow (Settings → API Keys) — the raw key (ofk_...) is shown once.), OUTFLOW_WORKSPACE_ID (ID of the workspace to expose. Found in the workspace URL (.../workspace/<id>/...) or workspace settings.).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.