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Cartograph MCP Server

@benteigland11

Repository

Basic information

Category

Other

Transports

stdio

Author

benteigland11

Submitted by

Ben Teigland

About Cartograph MCP Server

Local First MCP for making your AI generated code reusable and improvable across projects.

#vibecoding#reuse#store#memory

Cartograph MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "cartograph": {
      "command": "cartograph-mcp",
      "args": [],
      "description": "Local-first reusable code registry for AI agents",
      "homepage": "https://github.com/benteigland11/cartograph-mcp"
    }
  }
}

Cartograph MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Cartograph?

Cartograph is an MCP server that exposes a focused set of Cartograph widget workflow tools for AI agents. It provides search, inspect, install, create, validate, check-in, and configuration actions without mirroring the entire CLI, keeping the agent-facing surface compact and task-oriented.

How to use Cartograph?

Install via pip install cartograph-mcp, then configure it as an MCP server in your client (e.g., Claude Desktop, Claude Code, Codex, Gemini CLI, or Cursor) by pointing to the cartograph-mcp command. The server delegates to the underlying cartograph-cli for all operations.

Key features of Cartograph

  • Exposes registry widget actions: search, inspect, install, rate
  • Manages installed widgets: upgrade, uninstall
  • Provides widget status, creation, validation, and check-in tools
  • Reads and writes core Cartograph configuration defaults
  • Groups tool surface around agent intents rather than CLI mirroring
  • Falls back to the full CLI for administrative and recovery operations

Use cases of Cartograph

  • Search and inspect reusable widgets before writing new logic
  • Install, upgrade, or uninstall widgets within a project
  • Create, validate, and check in new widgets with a dry-run pipeline
  • Adjust daily workflow defaults like auto-publish, visibility, and governance

Frequently asked questions

1

How does Cartograph differ from the full Cartograph CLI?

The MCP intentionally exposes only the daily widget workflow surface (search, install, create, validate, check-in, config). Administrative, recovery, and cloud operations remain in the `cartograph` CLI.

2

What are the runtime dependencies of Cartograph?

The `cartograph-mcp` package depends on `cartograph-cli` and shells out to it as the source of truth for all command execution.

3

How is data isolation handled during testing or development?

Integration tests isolate `HOME`, `XDG_CONFIG_HOME`, `XDG_DATA_HOME`, `XDG_CACHE_HOME`, `WIDGET_LIBRARY_PATH`, and the project working directory so they do not touch real widget libraries or user configuration.

4

What configuration defaults does Cartograph expose?

The `cartograph_config` tool exposes `auto-publish`, `visibility`, `governance`, `cloud`, `show-unavailable`, and `publish-registry` settings, read and written through the CLI's `--json` path.

5

How is Cartograph tested?

It has two test layers: command-contract tests that mock the CLI runner and verify exact commands, and isolated integration tests that run the real Cartograph CLI in a temporary environment.

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