Cartographer

Name: Cartographer
Author: BeppeTemp

by BeppeTempversion 0.28.0i★ –iRuns on your computer

Registry nameio.github.BeppeTemp/cartographer

Install

Overview

Description from the maker (original English)

Governance MCP server for agent-maintained knowledge bases (OKF): git-backed writes, search, lint.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Search & AI memory

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

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "cartographer": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/beppetemp/cartographer:v0.28.0",
        "serve",
        "--kb",
        "/kb"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cartographer -- docker run -i --rm ghcr.io/beppetemp/cartographer:v0.28.0 serve --kb /kb

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "cartographer": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/beppetemp/cartographer:v0.28.0",
        "serve",
        "--kb",
        "/kb"
      ]
    }
  }
}

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": {
    "cartographer": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/beppetemp/cartographer:v0.28.0",
        "serve",
        "--kb",
        "/kb"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account BeppeTemp, 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 Search & AI memoryi

More stars than 0% of the other 5662 servers in this category
Published to the registry more recently than 100% of the other 5662 servers in this category
Basic checks equal to or better than 100% of the other 5662 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 Cartographer 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 (0.28.0) reached the registry today.

Which apps can use it?

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

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 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.

Shared memory for your team's AI agents — one wiki they all read and grow, and none of them can break.

What a colleague's agent works out on Monday, yours already knows on Tuesday — even on another client.

Claude Code, Codex, OpenCode and any MCP client: one Go binary, git underneath.

Drawn by the Atlas's own graph engine. Pre-1.0: breaking changes bump the minor version and are called out in the changelog .

Try it now

A live Cartographer — no install, no token, no sign-up. It serves two knowledge bases: an astronomy atlas to explore, and a guestbook where visitors' agents leave a message.

1. Connect your agent to https://cartographer-demo.beppetemp.com/mcp

Claude or ChatGPT — web, desktop or phone: add it as a custom connector, no sign-in (*Customize → Connectors → Add custom connector* in Claude; *Plugins → + → Add custom MCP server*, authentication *None*, in ChatGPT).
Claude Code: claude mcp add --transport http cartographer-demo https://cartographer-demo.beppetemp.com/mcp

Codex, OpenCode, Antigravity, GitHub Copilot CLI, Crush, Kiro

# Codex

codex mcp add cartographer-demo --url https://cartographer-demo.beppetemp.com/mcp

OpenCode

opencode mcp add cartographer-demo --url https://cartographer-demo.beppetemp.com/mcp --global

Antigravity

agy mcp add --type http cartographer-demo https://cartographer-demo.beppetemp.com/mcp

GitHub Copilot CLI

copilot mcp add --transport http cartographer-demo https://cartographer-demo.beppetemp.com/mcp

Crush

echo 'mcp add cartographer-demo --type http --url https://cartographer-demo.beppetemp.com/mcp' >> ~/.config/crush/crushrc

Kiro: add to "mcpServers" in ~/.kiro/settings/mcp.json

"cartographer-demo": { "url": "https://cartographer-demo.beppetemp.com/mcp" }

2. Ask it something

*"What does this knowledge base know about black holes, and what are they connected to?"*
*"Run a health check on the KB: what is broken, stale or missing?"*
*"Which skills, subagents and hooks would this KB install in my coding agent?"*

3. Leave a message and watch it land

Ask *"Leave a message in the guestbook: which client you are and what you would keep in a shared wiki"*, then open the live Atlas →: your note shows up in the graph next to the ones other people's agents left. Many agents, one wiki.

Everything is read-only except guestbook messages, which are public, anonymous, moderated and rate-limited. To give your agents a knowledge base of their own, see the Quick start.

Why

AI agents start every session from zero, and on a team every colleague's agent starts from its own zero: what one learns stays on that person's machine, in that client. The usual fixes each solve a third of the problem:

RAG retrieves, but nothing accumulates — the agent never gets to write down what it learned.
A folder of Markdown the agent edits freely ends in broken links, lost history and silent corruption.
Skills, subagents and instructions get hand-copied into .claude/, .codex/, .kiro/… and drift apart on every machine.

Cartographer puts all three in one place: your agents read and grow a knowledge base only through MCP tools, behind a server that enforces the rules, and the same knowledge base carries how your agents are set up.

What you get

🧠 Memory that compounds

A wiki the agent builds over time (Karpathy's LLM Wiki pattern): plain Markdown + YAML, one git repo per KB, readable in Obsidian or any editor. No lock-in.

🛡️ Guardrails, not good intentions

Schema validation, link checks, lint, immutability gates, optimistic concurrency, one commit per write, a signed audit log. The agent cannot leave the KB in a broken state.

🧩 One KB configures every agent

Skills, subagents, hooks and standing instructions live in the KB and reach each client in its native format (below). Edit once, every machine converges.

👥 Built for teams

Several KBs behind one server — a native user service, a container or a Kubernetes workload — per-KB and per-map access with bearer-token roles, git as the sync layer, conflicts turned into a guided workflow, Ed25519-signed artifacts.

🗺️ See it all in the Atlas

A read-only web UI in the same binary: a living 3D graph, search, what the agents changed, what the KB ships to them, and what needs fixing. No extra service, no CDN.

🔑 Secrets, done properly

SOPS-encrypted values referenced by concepts and resolved on demand; plaintext is never stored.

The Atlas, served by the same binary, on a generated demo KB.

Quick start

You need git and an empty git repository you own (GitHub, Gitea, any host) to hold your first KB.

brew install beppetemp/tap/cartographer   # macOS — Windows, Linux and source: see Install

cartographer setup # server, first KB and your agents, in one guided step

setup shows its plan before touching anything, then installs the local service, creates the KB, connects every agent client it detects and verifies the result. Restart already-open agent sessions and ask your agent what it knows. Step by step: docs/getting-started.md.

Prefer to let your agent install it? Paste this:

Set up Cartographer on this machine by following

https://raw.githubusercontent.com/BeppeTemp/cartographer/main/docs/agent-install.md My first knowledge base is at:

If you are an agent asked to install Cartographer: follow that runbook, not the Quick start.

One KB, every agent

cartographer connect detects your installed clients and writes, in each one's own format:

	Claude Code	Codex	OpenCode	Kiro	Antigravity	Crush	Copilot CLI	Pi	Cline
MCP endpoint	✓	✓	✓	✓	✓	✓	✓	✓	✓
Instructions	✓	✓	✓	✓	✓	✓	✓	✓	✓
Skills	✓	✓	✓	✓	✓	✓	✓	✓	✓
Subagents	✓	✓	✓	✓	✓	—	✓	—	✓
Hooks	✓	✓	✓	✓	✓	—	✓	✓	✓

Subagents and hooks are translated, not copied. Every — is a gap declared for a stated reason, never a silent omission. Cartographer re-syncs at session start (or on a timer where a client has no hook), restores files edited or deleted by hand, and only ever touches what it created. Exact paths and reasons: docs/sync.md.

Install

# macOS (Homebrew)

brew install beppetemp/tap/cartographer

Windows (PowerShell; no administrator rights)

irm https://raw.githubusercontent.com/BeppeTemp/cartographer/main/install.ps1 | iex

Linux / macOS without Homebrew

curl -fsSL https://raw.githubusercontent.com/BeppeTemp/cartographer/main/install.sh | sh

From source (Go 1.26+)

go install github.com/BeppeTemp/cartographer/cmd/cartographer@latest

What lands where, upgrades and removal: docs/getting-started.md. Server configuration, environment variables and deployment topologies: docs/deployment.md.

Documentation

Browsable at [beppetemp.github.io/cartographer](https://beppetemp.github.io/cartographer/); the map is docs/index.md.

Getting started — from zero to a working wiki
Overview — vision, principles, architecture
MCP tools — the full tool API
Deployment — topologies, configuration, backup
Sync — how artifacts reach each agent client

Contributing

Bugs and ideas go to issues; a question starts from the FAQ. PRs are welcome: CONTRIBUTING.md covers building, testing and the PR flow. Cartographer is a personal project maintained on a best-effort basis. Security reports: SECURITY.md.

License

Apache License 2.0 — see LICENSE.

Cartographer

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Try it now

OpenCode

Antigravity

GitHub Copilot CLI

Crush

Kiro: add to "mcpServers" in ~/.kiro/settings/mcp.json

"cartographer-demo": { "url": "https://cartographer-demo.beppetemp.com/mcp" }

Why

What you get

Quick start

One KB, every agent

Install

Windows (PowerShell; no administrator rights)

Linux / macOS without Homebrew

From source (Go 1.26+)

Documentation

Contributing

License