Context7
Up-to-date docs for AI agents
Descripción del creador (original en inglés)
Governance MCP server for agent-maintained knowledge bases (OKF): git-backed writes, search, lint.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"cartographer": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/beppetemp/cartographer:v0.27.3",
"serve",
"--kb",
"/kb"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add cartographer -- docker run -i --rm ghcr.io/beppetemp/cartographer:v0.27.3 serve --kb /kbPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"cartographer": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/beppetemp/cartographer:v0.27.3",
"serve",
"--kb",
"/kb"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"cartographer": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/beppetemp/cartographer:v0.27.3",
"serve",
"--kb",
"/kb"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub BeppeTemp, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.27.3) llegó al registro hace 4 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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 .
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 mcp add --transport http cartographer-demo https://cartographer-demo.beppetemp.com/mcpCodex, OpenCode, Antigravity, GitHub Copilot CLI, Crush, Kiro
# Codex
codex mcp add cartographer-demo --url https://cartographer-demo.beppetemp.com/mcp
opencode mcp add cartographer-demo --url https://cartographer-demo.beppetemp.com/mcp --global
agy mcp add --type http cartographer-demo https://cartographer-demo.beppetemp.com/mcp
copilot mcp add --transport http cartographer-demo https://cartographer-demo.beppetemp.com/mcp
echo 'mcp add cartographer-demo --type http --url https://cartographer-demo.beppetemp.com/mcp' >> ~/.config/crush/crushrc
2. Ask it something
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.
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:
.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.
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.
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.
Skills, subagents, hooks and standing instructions live in the KB and reach each client in its native format (below). Edit once, every machine converges.
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.
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.
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.
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.
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.
# macOS (Homebrew)
brew install beppetemp/tap/cartographer
irm https://raw.githubusercontent.com/BeppeTemp/cartographer/main/install.ps1 | iex
curl -fsSL https://raw.githubusercontent.com/BeppeTemp/cartographer/main/install.sh | sh
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.
Browsable at [beppetemp.github.io/cartographer](https://beppetemp.github.io/cartographer/); the map is docs/index.md.
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.
Apache License 2.0 — see LICENSE.