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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

knowmind

de Schubeler-Consultingversión 0.4.6i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Schubeler-Consulting/knowmind

Instalar

Resumen

Descripción del creador (original en inglés)

AI agent memory & knowledge graph, hosted in Germany (GDPR). Recall, relations, store via MCP.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA
  • Debes completar: KNOWMIND_TOKEN

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • npmNode.js instalado (para el comando npx)

¿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": {
    "knowmind": {
      "command": "npx",
      "args": [
        "-y",
        "knowmind",
        "mcp"
      ],
      "env": {
        "KNOWMIND_TOKEN": "your-value",
        "KNOWMIND_API_URL": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add knowmind --env KNOWMIND_TOKEN=your-value --env KNOWMIND_API_URL=your-value -- npx -y knowmind mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "knowmind": {
      "command": "npx",
      "args": [
        "-y",
        "knowmind",
        "mcp"
      ],
      "env": {
        "KNOWMIND_TOKEN": "your-value",
        "KNOWMIND_API_URL": "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "knowmind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "knowmind",
        "mcp"
      ],
      "env": {
        "KNOWMIND_TOKEN": "your-value",
        "KNOWMIND_API_URL": "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.

Valores que debes completar

  • KNOWMIND_TOKEN secreto obligatorio env
    Bearer API token from the knowmind.de Dashboard -> API-Tokens (https://knowmind.de/dashboard/api-tokens)
  • KNOWMIND_API_URL env
    Knowmind API base URL

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub Schubeler-Consulting, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7275 servidores de esta categoría
  • Publicado en el registro más recientemente que el 86% de los otros 7275 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7275 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro knowmind?

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.

¿Qué claves o códigos necesita?

Debes completar: KNOWMIND_TOKEN

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.4.6) llegó al registro hace 5 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

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

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

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

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
Instalar

README del creador

Abrir el README

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.

knowmind

Persistent memory for your AI tools. Store something once, and it is available in Claude Code, Cursor, and any other MCP client that runs a local (stdio) server — as a typed knowledge graph with provenance, confidence, and a bitemporal history for every fact. Hosted in Germany (Hetzner, Nuremberg data center); the CLI and MCP server in this repository are Apache-2.0.

The free tier is permanently free and requires no payment details. The API, CLI, and MCP server are included in every tier.

· knowmind.de

Connect your AI tool in three steps

  1. Create a free account at knowmind.de and generate an access token: Dashboard → API tokens.
  2. Store the token locally:
npx -y knowmind login --token kmt_xxxxxxxx
  1. Wire up your client:

Claude Code (one command)

claude mcp add knowmind --env KNOWMIND_TOKEN=kmt_xxx -- npx -y knowmind mcp

Cursor (~/.cursor/mcp.json) — the same mcpServers block works for Claude Desktop, Windsurf and Gemini CLI in their config files; Zed expects it under context_servers:

{

"mcpServers": { "knowmind": { "command": "npx", "args": ["-y", "knowmind", "mcp"], "env": { "KNOWMIND_TOKEN": "kmt_xxx" } } } }

Any other MCP client: knowmind is a standard MCP server over stdio (npx -y knowmind mcp). On Windows, npx -y knowmind install is the better way: if pythonw.exe from Python 3.10 to 3.14 sits in its default location (%LOCALAPPDATA%\Programs\Python\Python3… or C:\Python3…), the entries it writes start the server without a console window; Codex and the printed Claude Code command use npx directly. If you configure by hand and npx does not start directly, use "command": "cmd", "args": ["/c", "npx", "-y", "knowmind", "mcp"]; clients without a console of their own then open a window with each tool call.

npx -y knowmind install writes this configuration for you, for example cursor, vscode, windsurf, zed, claude-desktop, gemini or codex; npx -y knowmind install list shows all clients. For Claude Code it prints the claude mcp add command instead, and --project writes .mcp.json in the current folder.

Clients that cannot read the token from the environment get a placeholder to replace with your token. Running install again updates only the knowmind entry and keeps a token you entered; before it changes a file, it saves a copy next to it.

npx -y knowmind init sets up memory hygiene in your client: hooks in Claude Code that recall before each task and, when a turn contained something worth keeping (a deploy or commit, a new rule, an architecture decision, changed code or configuration) and nothing was stored yet, ask the model to store it before the turn ends, a rule file in Cursor, and a block in AGENTS.md that tells Codex when to ask knowmind and what to keep.

How knowmind stores facts

  • Bitemporal history. Every fact carries two time axes: when it was true and when it was recorded. Corrections never overwrite the original; the old statement stays queryable with the date it stopped being valid, so you can reconstruct what the system knew on any given day.
  • Provenance and confidence per fact. New facts require a confidence level and keep a link to their source. Older facts without a confidence level are marked as such.
  • Typed knowledge graph. Entities and relations use a restricted set of edge types; catch-all relations are rejected at write time.
  • Operated in the EU, isolated per tenant. The service runs on Hetzner in Nuremberg, Germany, with tenant isolation, a public data processing agreement, and a subprocessor list at knowmind.de/legal/avv. Access logs are hash-chained and externally timestamped (RFC 3161).

knowmind is a hosted service; there is no self-hosted community edition. If you need self-hosting, one of the projects below will serve you better. knowmind is built for the people and teams that need an operated memory service with an audit trail in the EU.

Pricing

TierPriceFor whom
Free€0individuals and evaluation
Pro€15/month or €150/yearindividual professionals
Team€99/monthteams with shared memory
Business€349/monthlarger teams
Enterprisefrom €1,000/monthorganizations with on-premise requirements

The free tier includes 2,500 memories, 1 user, and a 30-day access log.

How that compares (vendor pricing pages, checked 2026-09-05):

ProductFree tierFirst paid tierSelf-hosting
knowmind2,500 memories€15/monthno (Enterprise on-premise option)
Mem010,000 entries, 1,000 retrievals/month$19/monthyes (Apache-2.0)
Zep10,000 credits/month$125/monthGraphiti open source; Zep as BYOC
cognee1M tokens, 1 workspace$2.50 per 1M tokensyes
Lettalimited agents, own keys$20/monthyes (per vendor)
Supermemory~$5 usage included$19/monthfrom Scale tier

Details and current prices: knowmind.de/pricing.

Commands

npx -y knowmind search "Where does the staging deploy run?"

npx -y knowmind upload notes.md --title "Meeting notes 2026-05-12" npx -y knowmind stats npx -y knowmind health npx -y knowmind status --line # one-line status for your AI tool's statusline npx -y knowmind sync ./openwiki # pages in Open Knowledge Format keep their review data

Knowledge in Open Knowledge Format

knowmind sync reads folders in the Open Knowledge Format (OKF 0.1 and 0.2), such as the openwiki/ folder that OpenWiki creates in a repository.

Every search hit then carries the page's status (stable if the page sets none), its trust tier as defined by OKF (trust: unverified, machine-confirmed or human-reviewed) and how many sources it lists. If the page provides them, the hit also carries who or what generated the page (generated), its last five verifications (verified), the time after which it counts as stale (stale_after) and its first ten sources (sources). The full header stays part of the document.

Inside a bundle, directory listings (index.md) and logs (log.md) are not imported. knowmind recognizes a bundle by okf_version in its root index.md or by the files OpenWiki keeps there. If it finds neither, --okf treats the folder you sync as a bundle.

Available Tools

Fifteen tools over MCP. Every one works against your own workspace; the server never sees another tenant's data.

Reading

`knowmind_recall_memories` — Search your memory and get the passages that answer a question, ranked. Combines keyword search, vector similarity and the knowledge graph, then reranks with a cross-encoder. query (string, required) · k (integer, default 5, max 20) · hops (integer, default 2 — how far to follow graph edges from a hit) *Usage:* your AI tool asks "Which database does the billing service use?" before answering, instead of guessing. *Errors:* returns an empty result set when nothing matches — never an invented answer.

`knowmind_recall_at_time` — The same search, but as your memory stood on a given date. Facts superseded after that date are excluded; facts that were valid then are returned even if they are no longer true. query (string, required) · as_of (ISO date or timestamp, required in practice) · k (integer, default 5) *Usage:* "What was our pricing in March?" — answers from the state of that day, not today's. *Difference from knowmind_recall_memories:* use recall for what is true now, and recall_at_time for what was true then. Asking recall about the past returns today's facts.

`knowmind_list_recent` — The most recently added entries, newest first. k (integer, default 10) *Usage:* a quick look at what landed in memory during this session.

`knowmind_list_relations` — All typed edges attached to one entry, in both directions. memory_id (string, required) *Usage:* "What does this contract connect to?" before changing or superseding it. *Errors:* unknown id returns an error, not an empty list.

`knowmind_get_schema` — The entity classes and relation types this workspace accepts. No parameters. *Usage:* call it before knowmind_upsert_entity or knowmind_link_entities to use a type the server will accept, rather than inventing one.

`knowmind_list_inferred` — Relations that wait for a human decision: relations knowmind inferred from a text, and relations that start from a document although their type needs a person, organisation or similar. Each comes with its review state, both connected entries, its source and the entry that supports it. status (open, confirmed or rejected, optional) · limit (integer, default 50, max 200) · offset (integer, default 0) *Usage:* review what the graph learned on its own. Open relations do not feed the derivation rules until someone confirms them.

`knowmind_get_stats` — Size of the corpus: documents, chunks, entities, edges. No parameters.

`knowmind_get_health` — Whether the service and its stores are reachable. No parameters. *Usage:* a status line, or a check before a long ingest.

Writing

`knowmind_store_memory` — Store a short fact, decision or note. Stays as one unit; it is not split. content (string, required) · title (string) · memory_type (string, e.g. semantic, episodic) · tags (array of strings) · source (string) · domain (string) · relations (array — edges to create along with the entry) *Usage:* "We decided to keep the monolith until Q3" after a meeting. *Errors:* rejected with 422 when the text contains what looks like a password or an access key. Store a pointer instead, not the secret.

`knowmind_upload_document` — Store a longer text as a document. It is split into passages, embedded, and becomes searchable through knowmind_recall_memories. content (string, required) · title (string) · source (string) · relations (array) *Usage:* meeting minutes, a specification, a handbook chapter. *Difference from knowmind_store_memory:* one sentence you want back verbatim is a memory; a page you want searched is a document. A long text stored as a memory is retrieved as one block, which crowds out other results.

`knowmind_update_fact` — Supersede a fact that has changed. The old version keeps its validity window and stays auditable; nothing is deleted. target_id (string, required) · new_title (string, required) · new_content (string, required) · update_reason (string) *Usage:* a price, a deadline or a responsibility changed. Never overwrite — supersede, so "what did we believe in July" stays answerable. *Errors:* unknown target_id is rejected.

`knowmind_upsert_entity` — Create or update a typed entity (a person, a company, a product) with aliases. name (string, required) · entity_class (string, required — see knowmind_get_schema) · description (string) · aliases (array of strings) *Usage:* give "ACME Ltd." its aliases so a question about "ACME" finds it. *Errors:* a class outside the schema is rejected.

`knowmind_link_entities` — Create a typed edge between two entries, with a confidence value. from_id (string, required) · to_id (string, required) · rel_type (string, required — see knowmind_get_schema) · confidence (number 0–1) *Usage:* connect a contract to the client it belongs to. The inverse edge is created for you.

`knowmind_unlink_entities` — Remove a typed edge. from_id, to_id, rel_type (all required) *Usage:* an edge created in error. The entries themselves stay.

`knowmind_review_inferred` — Record a decision on one relation from knowmind_list_inferred. confirm lets it feed the derivation rules; reject

Solo se muestra el principio; lee el resto en el repo

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