By mistakeknot
Project-level code mapping: project registry, call graphs, architecture analysis, agent overlay, cross-project dependencies, pattern detection, live changes. MCP server with 9 tools.
Executables (bin/) — files in this plugin's bin/directory are added to the Bash tool's PATH while the plugin is enabled.
Project-level code mapping MCP server for Claude Code.
intermap maintains a structural understanding of your codebase: project registry, call graphs, impact analysis: and exposes it through 6 MCP tools. The agent_map tool is particularly interesting: it overlays live agent activity from intermute onto the code structure, so you can see not just what the code looks like but who's currently working on which parts.
The server is Go with a Python analysis bridge. Go handles the MCP transport and project registry; Python (via a vendored subset of tldr-swinton) does the actual code analysis. They communicate over JSON-over-stdio subprocess calls.
First, add the interagency marketplace (one-time setup):
/plugin marketplace add mistakeknot/interagency-marketplace
Then install the plugin:
/plugin install intermap
cmd/intermap-mcp/ Go MCP server (mark3labs/mcp-go)
python/intermap/ Python analysis layer
vendor/ Vendored tldr-swinton code (do not modify)
bin/launch-mcp.sh Server launcher
The Go → Python bridge uses subprocess with JSON-over-stdio: each analysis request spawns a Python subprocess, passes JSON in, gets JSON back. Simple and reliable, if not the fastest possible approach.
Admin access level
Server config contains admin-level keywords
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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