Cartograph MCP Server

@benteigland11

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

benteigland11

提交者

Ben Teigland

关于 Cartograph MCP Server

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

#vibecoding#reuse#store#memory

Cartograph MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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.

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.

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.

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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