GitHub
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Description from the maker (original English)
Repo analysis for coding agents with ranked files, dependency maps, and task-scoped context.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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 mcpPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account anthony-maio, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 9 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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’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.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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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.
@anthony-maio/cartographio.github.anthony-maio/cartographcartograph.making-minds.aiInstead 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:
analyze to map the repopacket to prepare the workcontext --static to load task-matched files without a model callwiki, host installs, and benchmarks are secondary surfaces built around that core path.
npm install
npm run build
For global use from npm:
npm install -g @anthony-maio/cartograph
For MCP host discovery via the official registry:
io.github.anthony-maio/cartographFor 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.
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.
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.
This repo also acts as a Claude Code plugin marketplace. The cartograph plugin bundles:
/cartograph:analyze, /cartograph:context, /cartograph:wikiuse-cartograph and repo-surveyor skillsrepo-scout, dependency-tracer, context-picker, api-surface-writer, and wiki-writerInstall it with:
/plugin marketplace add anthony-maio/cartograph
/plugin install cartograph@making-minds-tools
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.
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"
# Map the repo
cartograph analyze ./my-project --static
cartograph packet ./my-project --type bug-fix --task "fix auth refresh bug" --changed src/auth/service.ts tests/auth/service.test.ts
cartograph context ./my-project --task "add user authentication" --static --json
cartograph analyze ./my-project --static --json --include-contents
cartograph wiki ./my-project -p gemini -k $CARTOGRAPH_API_KEY -o wiki.md
cartograph export run-abc123 --to ./artifacts/wiki.md
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.
geminiopenaiopenrouterollamaSet the API key with --key or CARTOGRAPH_API_KEY. Ollama does not require a key.
Cartograph writes successful runs into the user cache by default:
%USERPROFILE%\\.cartograph\\cache~/.cartograph/cacheEach run gets a manifest plus named artifacts, which keeps agent handoffs lightweight and makes cartograph export deterministic.
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 ~/.claudeopenclaw: user-scope skill pack under ~/.openclawmcp: a Cartograph MCP config snippet under ~/.cartograph/mcphermes: a native tool plugin and local runtime binding under the selected Hermes profile; enable it with hermes plugins enable cartographCheck status at any time:
cartograph doctor
cartograph doctor --json
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 URLget_file_contents: fetch full contents for specific files after analysisbuild_task_packet: return a typed task packet with key files, dependency hubs, validation targets, risks, and task-specific detailsBug-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"] } } }
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 fieldserver.json for registry metadataThe current install artifact published to npm is:
@anthony-maio/cartographFor 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.
The package currently ships:
use-cartograph and repo-surveyorrepo-scout, dependency-tracer, context-picker, api-surface-writer, and wiki-writeruse-cartograph and repo-surveyorSkill roles:
use-cartograph: tool-first path when the CLI or MCP server is availablerepo-surveyor: manual fallback path when Cartograph is unavailable or needs verificationBoth skills are designed to produce the same downstream contract:
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.
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