@endiagram/mcp

MCP server for EN Diagram — deterministic structural analysis powered by graph theory. Every result is backed by a named mathematical theorem. No AI inside the computation.

Installation

Run directly:

npx @endiagram/mcp

Or install globally:

npm install -g @endiagram/mcp

Connect

Claude Code

claude mcp add endiagram npx @endiagram/mcp

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "endiagram": {
      "command": "npx",
      "args": ["@endiagram/mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "endiagram": {
      "command": "npx",
      "args": ["@endiagram/mcp"]
    }
  }
}

HTTP (zero install)

Any MCP client that supports HTTP transport:

https://api.endiagram.com/mcp

Smithery

smithery mcp add dushyant30suthar/endiagram

Environment Variables

| Variable | Default | Description | |----------|---------|-------------| | EN_API_URL | https://api.endiagram.com | API endpoint for the EN Diagram service |

Tools

| Tool | Description | |------|-------------| | structure | Topology, bridges, bottlenecks, parallelism, critical path, dominator tree, subsystems | | invariant | Conservation laws, deadlock detection, boundedness, structural complexity | | live | Liveness analysis — can resources drain permanently? Can queues overflow? | | reachable | Path tracing between any two points — distance, intermediaries, defense coverage | | equivalent | Compare two systems or simulate a change — what breaks, what shifts | | compose | Extract or merge subsystems — interface boundaries, shared resources | | render | SVG diagram of the system |

EN Syntax

One statement per line:

actor do: action needs: input1, input2 yields: output1, output2

Shared names between yields and needs create connections automatically:

customer do: place order needs: menu yields: order
kitchen do: prepare food needs: order yields: meal
waiter do: deliver needs: meal yields: served customer

Learn more at endiagram.com.

License

MIT