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Descripción del creador (original en inglés)
Self-hosted Anytype MCP server: the full Anytype API as an always-on Docker + HTTP endpoint.
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.
ANYTYPE_API_KEY, PORT, ANYTYPE_API_BASE_URL, ANYTYPE_VERSION, ANYTYPE_API_HOST_HEADER, MCP_SHARED_TOKEN, ANYTYPE_MCP_SLIM_RESPONSESLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
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": {
"anytype": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ANYTYPE_API_KEY",
"-e",
"PORT",
"-e",
"ANYTYPE_API_BASE_URL",
"-e",
"ANYTYPE_VERSION",
"-e",
"ANYTYPE_API_HOST_HEADER",
"-e",
"MCP_SHARED_TOKEN",
"-e",
"ANYTYPE_MCP_SLIM_RESPONSES",
"ghcr.io/ohneben/anytype-mcp:1.0.6"
],
"env": {
"ANYTYPE_API_KEY": "your-value",
"PORT": "your-value",
"ANYTYPE_API_BASE_URL": "your-value",
"ANYTYPE_VERSION": "your-value",
"ANYTYPE_API_HOST_HEADER": "your-value",
"MCP_SHARED_TOKEN": "your-value",
"ANYTYPE_MCP_SLIM_RESPONSES": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add anytype --env ANYTYPE_API_KEY=your-value --env PORT=your-value --env ANYTYPE_API_BASE_URL=your-value --env ANYTYPE_VERSION=your-value --env ANYTYPE_API_HOST_HEADER=your-value --env MCP_SHARED_TOKEN=your-value --env ANYTYPE_MCP_SLIM_RESPONSES=your-value -- docker run -i --rm -e ANYTYPE_API_KEY -e PORT -e ANYTYPE_API_BASE_URL -e ANYTYPE_VERSION -e ANYTYPE_API_HOST_HEADER -e MCP_SHARED_TOKEN -e ANYTYPE_MCP_SLIM_RESPONSES ghcr.io/ohneben/anytype-mcp:1.0.6Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"anytype": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ANYTYPE_API_KEY",
"-e",
"PORT",
"-e",
"ANYTYPE_API_BASE_URL",
"-e",
"ANYTYPE_VERSION",
"-e",
"ANYTYPE_API_HOST_HEADER",
"-e",
"MCP_SHARED_TOKEN",
"-e",
"ANYTYPE_MCP_SLIM_RESPONSES",
"ghcr.io/ohneben/anytype-mcp:1.0.6"
],
"env": {
"ANYTYPE_API_KEY": "your-value",
"PORT": "your-value",
"ANYTYPE_API_BASE_URL": "your-value",
"ANYTYPE_VERSION": "your-value",
"ANYTYPE_API_HOST_HEADER": "your-value",
"MCP_SHARED_TOKEN": "your-value",
"ANYTYPE_MCP_SLIM_RESPONSES": "your-value"
}
}
}
}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": {
"anytype": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ANYTYPE_API_KEY",
"-e",
"PORT",
"-e",
"ANYTYPE_API_BASE_URL",
"-e",
"ANYTYPE_VERSION",
"-e",
"ANYTYPE_API_HOST_HEADER",
"-e",
"MCP_SHARED_TOKEN",
"-e",
"ANYTYPE_MCP_SLIM_RESPONSES",
"ghcr.io/ohneben/anytype-mcp:1.0.6"
],
"env": {
"ANYTYPE_API_KEY": "your-value",
"PORT": "your-value",
"ANYTYPE_API_BASE_URL": "your-value",
"ANYTYPE_VERSION": "your-value",
"ANYTYPE_API_HOST_HEADER": "your-value",
"MCP_SHARED_TOKEN": "your-value",
"ANYTYPE_MCP_SLIM_RESPONSES": "your-value"
}
}
}
}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.
PORT envANYTYPE_API_BASE_URL envANYTYPE_VERSION envANYTYPE_API_HOST_HEADER envANYTYPE_MCP_SLIM_RESPONSES envEsta 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 ohneben, 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.
Debes completar: ANYTYPE_API_KEY, MCP_SHARED_TOKEN
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 (1.0.6) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
Talk to your Anytype knowledge base in plain language from AI assistants like Claude, Cursor, and any other MCP client.
This is a self-hosted fork of the official anyproto/anytype-mcp that adds a Docker container and a Streamable-HTTP transport, so the server can run quietly in the background and be reached by any MCP client over HTTP. (The original speaks stdio only.)
The official Anytype MCP server is great, but it runs as a stdio subprocess that each client has to launch on demand. This project keeps 100% of its capabilities and adds a production-style deployment: one always-on server, in Docker, that any number of MCP clients can reach over HTTP.
| Capability | This project | Official anyproto/anytype-mcp | Other community servers\* |
|---|---|---|---|
| Full Anytype API coverage (dynamic OpenAPI → MCP tools) | ✅ | ✅ | ✅ |
stdio transport | ✅ | ✅ | ✅ |
Streamable-HTTP transport (native, or via mcp-remote) | ✅ | ❌ | ❌ |
| Always-on background service | ✅ | ❌ | ❌ |
| One server → many clients at once | ✅ | ❌ | ❌ |
| Docker + docker-compose | ✅ | ❌ | ❌ |
| Health-check endpoint + auto-restart | ✅ | ❌ | ❌ |
| Optional bearer-token auth on the endpoint | ✅ | ❌ | ❌ |
| 🟢 / 🟡 / 🔴 read-only / write / destructive tool hints | ✅ | ➖ | ➖ |
| Automated test suite (Vitest) | ✅ | ✅ | ➖ |
| License | MIT | MIT | varies |
\*Community servers such as Qwinty/anytype-mcp (JS), wethegreenpeople/anytype-mcp (Python) and anytype-mcp-plus — most are stdio-only and launched via npx. "➖" = not documented / varies. Snapshot from July 2026; check each project for its latest.
In short: if you just want to try Anytype from your AI client, the official server is perfect. If you want it running in the background, always ready, and shared across every MCP client on your machine, use this one.
Once it's connected, ask your assistant things like:
Tools are generated automatically from your running Anytype app and grouped into 🟢 read-only, 🟡 write, and 🔴 delete.
The server is tuned to keep your assistant fast and frugal with tool calls:
space_id, that space's types and property definitions) in a single call, instead of a list-spaces → list-types → list-properties cascade.object discriminators, and nulls are dropped, and the type embedded in each search/list result is reduced to its identifiers. This typically shrinks list/search responses by well over half, which means less context burned per call and fewer follow-up calls. Set ANYTYPE_MCP_SLIM_RESPONSES=false to get raw API payloads instead.get-object returns the full markdown body).Claude / Cursor / … ──MCP──► this server ──HTTP──► Anytype desktop app (local API)
The server only talks to the local API of the Anytype desktop app on your own machine. Your data stays on your computer.
127.0.0.1:31009).1. Add your API key. Copy the example config and paste in a key:
cp .env.example .env
2. Start the server:
docker compose up -d --build
3. Confirm it's running:
curl -s http://localhost:8769/healthz # → {"status":"ok"}
4. Connect your MCP client. Add an anytype entry under mcpServers, then fully quit and reopen the app. Pick the form that matches your client:
Claude Code (or any client that speaks Streamable-HTTP natively) — connect directly, no helper process:
"anytype": {
"type": "http", "url": "http://localhost:8769/mcp" }
Claude Desktop (its config is stdio-only) needs the mcp-remote bridge. Install it once, then launch it via node rather than npx:
npm i -g mcp-remote
"anytype": {
"command": "/opt/homebrew/bin/node", "args": [ "/opt/homebrew/lib/node_modules/mcp-remote/dist/proxy.js", "http://localhost:8769/mcp", "--allow-http" ] }
Why not `npx -y mcp-remote …`?
npxre-resolves the package through the npm
cache on every launch. When a client cold-starts several MCP servers at once they
contend on that cache, and some launchers can wedge *inside npx* for minutes —
which the client reports as a connection timeout. Installing
mcp-remoteonce and
launching it with
noderemoves that step. Use absolute paths (GUI apps don't
inherit your shell
PATH, andmcp-remote's own#!/usr/bin/env nodeshebang
can't find
nodeotherwise). The paths above are Apple-Silicon Homebrew defaults;
adjust with
which nodeandnpm root -gif yours differ.
That's it — ask your assistant to search or create something in Anytype.
In the Anytype desktop app: Settings → API Keys → Create new. Copy the key into .env as ANYTYPE_API_KEY=. Your key stays in .env, which git ignores, so it is never committed.
Everything is set in .env (copied from .env.example):
| Variable | Default | What it does |
|---|---|---|
ANYTYPE_API_KEY | — | Your Anytype API key. Required. |
ANYTYPE_VERSION | 2025-11-08 | Anytype API version header. |
ANYTYPE_API_BASE_URL | http://host.docker.internal:31009 | Where the Anytype app's API is reachable from the container. |
ANYTYPE_API_HOST_HEADER | *(auto)* | Host header sent to the Anytype API. Auto-set to localhost: when the base URL uses a container host alias, because Anytype rejects any other Host with 403 request origin is not allowed. |
PORT | 8769 | Host port for the MCP endpoint. |
MCP_SHARED_TOKEN | *(empty)* | Optional bearer token to protect the endpoint. Empty = open, for localhost only. |
ANYTYPE_MCP_SLIM_RESPONSES | true | Compact API responses before sending them to the assistant. Set to false for raw payloads. |
After changing .env, reload with docker compose up -d --force-recreate.
For logs, restart, key rotation, and verification commands, see [DOCKER.md](./DOCKER.md).
Prefer the classic stdio mode? Build it locally:
npm install
npm run build
Then register it with your client using a stdio command and your key in OPENAPI_MCP_HEADERS — see the upstream README for the exact stdio configuration.
.env, which is git-ignored. Never commit real keys.MCP_SHARED_TOKEN and send it as a Bearer header or ?token=….This server publishes to the official MCP Registry under the name io.github.ohneben/anytype-mcp. To look up the current listing:
curl "https://registry.modelcontextprotocol.io/v0/servers?search=io.github.ohneben/anytype-mcp"
Its listing is described by server.json and is republished automatically on every v*.*.* tag by .github/workflows/publish-mcp.yml, which waits for the matching GHCR image and authenticates with GitHub OIDC (no secret needed). The registry proves the image is ours via the io.modelcontextprotocol.server.name label in the Dockerfile, so the GHCR package must stay Public.
The git tag is the version. Pushing v1.2.3 is the whole release: the tag is stamped into package.json before the image is built and into server.json before the listing is published, so the version the server reports to MCP clients, the image tag, and the registry entry cannot disagree. Nothing needs to be bumped by hand first, and the versions committed here are only the defaults used by local builds.
Built on the official Anytype MCP server by Any Association. Licensed under the MIT License.