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Cartograph

by anthony-maioversion 1.3.0i★ –iRuns on your computer
Registry nameio.github.anthony-maio/cartograph

Install

Overview

Description from the maker (original English)

Repo analysis for coding agents with ranked files, dependency maps, and task-scoped context.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cartograph": {
      "command": "npx",
      "args": [
        "-y",
        "@anthony-maio/cartograph",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cartograph -- npx -y @anthony-maio/cartograph mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cartograph": {
      "command": "npx",
      "args": [
        "-y",
        "@anthony-maio/cartograph",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cartograph": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@anthony-maio/cartograph",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account anthony-maio, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4914 servers in this category
  • Published to the registry more recently than 80% of the other 4914 servers in this category
  • Basic checks equal to or better than 100% of the other 4914 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cartograph safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Cartograph

Cartograph provides task-focused repository context for coding agents. It ships a CLI, an MCP server, install adapters for Claude Code, OpenClaw, and Hermes, and agent assets for documentation workflows.

Instead of dumping an entire repository into context, Cartograph ranks the files that matter, maps dependencies, caches structured artifacts, and lets the next tool or agent pick up from those artifacts.

The primary workflow is:

  1. analyze to map the repo
  2. packet to prepare the work
  3. context --static to load task-matched files without a model call

wiki, host installs, and benchmarks are secondary surfaces built around that core path.

Install

npm install

npm run build

For global use from npm:

npm install -g @anthony-maio/cartograph

For MCP host discovery via the official registry:

For Claude Code plugin install from this public repo:

/plugin marketplace add anthony-maio/cartograph

/plugin install cartograph@making-minds-tools

For global use from a local checkout:

npm install -g .

See CONTRIBUTING.md for the development workflow and SECURITY.md for vulnerability reporting.

Run a complete example

The npm package includes a small refresh-token example. From a new working directory:

npm init -y

npm install @anthony-maio/cartograph@1.3.0 npx cartograph analyze ./node_modules/@anthony-maio/cartograph/examples/auth-refresh --static npx cartograph packet ./node_modules/@anthony-maio/cartograph/examples/auth-refresh --type bug-fix --task "fix refresh token expiry" npx cartograph context ./node_modules/@anthony-maio/cartograph/examples/auth-refresh --task "fix refresh token expiry" --static --json node --test ./node_modules/@anthony-maio/cartograph/examples/auth-refresh/tests/auth-refresh.test.js

The packet should point to src/auth/refresh.js and tests/auth-refresh.test.js. The context bundle includes the clock helper and leaves unrelated billing/catalog files out. The three behavioral checks should pass. Walk through the investigation for expected results and how to apply the same process to your repository.

Hermes plugin

The native Hermes plugin exposes cartograph_analyze for repository orientation and cartograph_context for task-focused source excerpts. Both run locally in static mode without a model API call. Install the npm package and its included adapter:

npm install -g @anthony-maio/cartograph@1.3.0

cartograph install hermes hermes plugins enable cartograph cartograph doctor hermes

Run these commands in the same OS environment as Hermes. For Hermes in WSL, use WSL Node and repository paths such as /mnt/d/Development/cartograph. Restart an existing Hermes session to load the tools. The installer binds the plugin to the installed CLI; rerun the install command after moving the package or changing Node.

See the Hermes setup and real-repository example for profile settings, verification, and removal. The plugin caches source excerpts under the selected Hermes profile and supports an optional repository allowlist. Static matching can miss relevant code, so check the returned source before editing.

For a Hermes-managed plugin checkout, see the standalone plugin guide and the commit-pinned installation option.

Claude Code Plugin

This repo also acts as a Claude Code plugin marketplace. The cartograph plugin bundles:

  • a plugin-scoped Cartograph MCP server
  • slash commands: /cartograph:analyze, /cartograph:context, /cartograph:wiki
  • the use-cartograph and repo-surveyor skills
  • the documentation-agent bundle: repo-scout, dependency-tracer, context-picker, api-surface-writer, and wiki-writer

Install it with:

/plugin marketplace add anthony-maio/cartograph

/plugin install cartograph@making-minds-tools

Primary Workflow

If you only remember one thing, remember this:

cartograph analyze <repo> --static

cartograph packet --type --task " " cartograph context --task " " --static --json

  • analyze maps the repo and tells you what matters.
  • packet turns a concrete job into a reusable working artifact.
  • context --static selects task-matched files and their nearby dependencies and tests, with their contents. It uses local heuristics and needs no API key.

The separate model-backed context workflow runs when you omit --static; configure a provider before using it. Neither mode proves that a selected file contains the bug.

Command Surface

cartograph analyze <repo> [options]

cartograph packet --type --task " " [--changed ] cartograph context --task " " [options] cartograph wiki [options] cartograph export --to [--artifact ] cartograph install cartograph uninstall cartograph doctor [target] [--json] cartograph mcp

Legacy compatibility still works:

cartograph <repo> --static

cartograph -c "trace auth flow"

CLI Usage

# Map the repo

cartograph analyze ./my-project --static

Prepare a concrete job

cartograph packet ./my-project --type bug-fix --task "fix auth refresh bug" --changed src/auth/service.ts tests/auth/service.test.ts

Load the minimum file set for that job

cartograph context ./my-project --task "add user authentication" --static --json

Force embedded snippets when you really want them

cartograph analyze ./my-project --static --json --include-contents

Full wiki output

cartograph wiki ./my-project -p gemini -k $CARTOGRAPH_API_KEY -o wiki.md

Export a cached artifact to an explicit path

cartograph export run-abc123 --to ./artifacts/wiki.md

Run the MCP server directly

cartograph mcp

For small repos, analyze --static --json now defaults to compact output instead of embedding top-file contents. That keeps tiny repos readable and lets direct file reads stay cheaper than a giant JSON blob. Use --include-contents when you explicitly want embedded snippets.

The default markdown output from analyze --static is human-first: it highlights what matters, surfaces dependency hubs, and recommends the next commands instead of dumping raw file contents immediately.

Providers
  • gemini
  • openai
  • openrouter
  • ollama

Set the API key with --key or CARTOGRAPH_API_KEY. Ollama does not require a key.

Cache Model

Cartograph writes successful runs into the user cache by default:

  • Windows: %USERPROFILE%\\.cartograph\\cache
  • POSIX: ~/.cartograph/cache

Each run gets a manifest plus named artifacts, which keeps agent handoffs lightweight and makes cartograph export deterministic.

Host Installs

Installing the package does not modify host configuration. Use the host-specific installer to copy its assets, then enable the integration in that host.

cartograph install claude

cartograph install openclaw cartograph install mcp cartograph install hermes

What each target installs:

  • claude: user-scope skills plus the bundled documentation agents under ~/.claude
  • openclaw: user-scope skill pack under ~/.openclaw
  • mcp: a Cartograph MCP config snippet under ~/.cartograph/mcp
  • hermes: a native tool plugin and local runtime binding under the selected Hermes profile; enable it with hermes plugins enable cartograph

Check status at any time:

cartograph doctor

cartograph doctor --json

Choose Your Surface

  • CLI: best default path when you want deterministic local analysis and explicit artifacts.
  • Claude Code plugin: best when you want plugin install, bundled skills, slash commands, and a plugin-scoped MCP server.
  • OpenClaw skills: best when you want the same Cartograph workflow inside an OpenClaw skill-first environment.
  • Hermes plugin: native repository orientation and source-context tools backed by the local CLI.
  • MCP Registry: best when your host already prefers tool wiring over shell commands.

MCP Server

Cartograph's MCP server exposes static repo analysis directly to hosts that prefer MCP over shell commands.

Tools:

  • analyze_repo: score files, map dependencies, and return compact analysis output or embedded top-file contents for a local repo or GitHub URL
  • get_file_contents: fetch full contents for specific files after analysis
  • build_task_packet: return a typed task packet with key files, dependency hubs, validation targets, risks, and task-specific details

Bug-fix packets are tuned to stay focused when you provide --changed or changed_files: they keep explicit change surfaces in view, prefer exact validation targets, and bias toward shared dependencies over peripheral utility scripts.

If you want Cartograph's packaged MCP snippet, run:

cartograph install mcp

That writes a reusable config file that points at:

{

"mcpServers": { "cartograph": { "command": "cartograph", "args": ["mcp"] } } }

MCP Registry

Cartograph is published in the official MCP Registry with the server name io.github.anthony-maio/cartograph.

Repo-side metadata lives in:

  • package.json via the mcpName field
  • server.json for registry metadata

The current install artifact published to npm is:

  • @anthony-maio/cartograph

For repeatable registry releases, this repo also includes a GitHub Actions workflow at publish-mcp.yml. It is set up for npm trusted publishing on GitHub Actions, then authenticates to the MCP Registry with GitHub OIDC and publishes server.json.

Packaged Agent Assets

The package currently ships:

  • two Claude skills: use-cartograph and repo-surveyor
  • five Claude documentation agents: repo-scout, dependency-tracer, context-picker, api-surface-writer, and wiki-writer
  • two OpenClaw skills: use-cartograph and repo-surveyor
  • bundled OpenProse templates inside both OpenClaw skills for repo-doc and task-context workflows

Skill roles:

  • use-cartograph: tool-first path when the CLI or MCP server is available
  • repo-surveyor: manual fallback path when Cartograph is unavailable or needs verification

Both skills are designed to produce the same downstream contract:

  • key files
  • dependency hubs
  • minimal task context
  • doc-ready summary

These assets are meant to pass run IDs and artifact paths between steps instead of copying large prose into the main context.

The Claude plugin marketplace in this repo ships the same skills and agents, plus plugin-first slash commands and a bundled Cartograph MCP server.

Task Packet Benchmark

This repo includes a public benchmark pack for task packets under benchmarks/task-packets.

Use it to compare packet quality across large visible repos with a stable set of task prompts:

npm run benchmark:task-packets -- --list

npm run benchmark:task-packets -- --case llama-cpp-bug-fix --dry-run

The benchmark runner writes packet artifacts to benchmarks/task-packets/output/, which is gitignored.

Curated scorecards and public artifact links are also published on the site:

-

Only the beginning is shown; read the rest in the repo

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