archmap mcp¶

Starts a JSON-RPC 2.0 server over stdio that exposes ArchMAP analysis tools to AI assistants (Claude Code, Cursor, Windsurf, and any MCP-compatible client).

Usage¶

archmap mcp [path]

Arguments¶

Argument	Description
`path`	Project root to analyze (default: `.`)

Examples¶

# Start the MCP server for the current project
archmap mcp .

# Point at a specific repo
archmap mcp /path/to/my-project

Tools exposed¶

The server exposes eight tools:

Tool	Description
`get_project_memory`	Compact markdown digest of the whole project — health, top risks, cycles, violations — the same content `archmap memory` writes to `.archmap/memory.md`. Call this first.
`get_architecture_summary`	Full architecture report: health score, cycles, god modules, layer violations, top risk files
`get_file_context`	Per-file detail: imports, dependents, complexity, impact radius
`impact_analysis`	Transitive blast radius of a file or package (`pkg:<name>`) — returns the precomputed impacted-files set and risk tier
`run_checks`	Quality gate results: cycle count, god modules, layer violations, resolution rate
`trace_reachability`	BFS from an entrypoint file through outgoing dependency edges — everything it transitively pulls in, plus coverage stats and dead-code detection
`diff_architecture`	Architecture diff between two git refs (default `HEAD~1` vs `HEAD`): health/complexity/cycle deltas and per-file changes
`get_network_exposure`	Live network scan of a target, correlated against the project's dependency graph — surfaces which open ports/services map to code the project actually imports, that code's blast radius, a confidence score per finding, and any `[network.rules]` drift violations (see `archmap expose`)

Registering with Claude Code¶

Add the server to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "archmap": {
      "command": "archmap",
      "args": ["mcp", "/path/to/your/project"]
    }
  }
}

After restarting Claude Code, the eight tools become available in every conversation about that project.

Registering with Cursor or Windsurf¶

Add the same JSON block to your editor's MCP settings file (see editor docs for the exact path). The command and args format is identical across MCP-compatible clients.

Protocol¶

The server reads JSON-RPC 2.0 requests from stdin and writes responses to stdout. Each request must be a single newline-terminated JSON object.

{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"run_checks","arguments":{}}}

Notes¶

Analysis results are cached in memory per project_path, keyed by the same content fingerprint (config + every source file's mtime/size) the on-disk cache uses. A tool call only re-analyzes when a source file actually changed since the last call in this session — edits made by the AI assistant mid-conversation are picked up automatically, without a stale read and without re-analyzing on every single call.
project_path is a per-call argument, not a server-wide setting: passing a different path than the one the server started with just adds a second cache entry, so one running instance can already answer about more than one project. Starting the server pointed at a specific project (archmap mcp /path/to/project) is a convention for the common case, not a hard limit.
get_network_exposure runs a real network scan against whatever target it's given. Only use it against hosts you own or are explicitly authorized to test — the same rule as archmap netscan and archmap expose.
The server does not open any network ports of its own — communication with the MCP client is exclusively over stdio; only get_network_exposure makes outbound connections, and only when explicitly invoked.