PMB AI

Servidor MCP de oleksiijko

Give AI coding agents persistent local memory for decisions, lessons and facts, stored in a single SQLite file on your disk.

Se ejecuta en localSe ejecuta con uvx

Instalar PMB AI

Se ejecuta en tu equipo. Tu cliente lo inicia con este comando:

uvx pmb-ai

Requiere uv (Python) en tu equipo. Los pasos de configuración de abajo muestran dónde va el comando en cada cliente.

Añadir a Cursor Añadir a VS Code

Descripción

PMB stores decisions, lessons, personal facts, project structure and indexed PDFs in a local workspace, with SQLite as the source of truth and LanceDB search indexes beside it. Agents such as Claude Code, Cursor and Codex read it back over MCP. The prepare tool returns project context, lessons, recent activity and open goals for a message, and recall runs hybrid search (BM25, vector, graph, rerank). The README mentions 27 other tools.

It runs locally over stdio as the PyPI package pmb-ai, started with uvx. No account, API key or cloud service is needed, and the README says nothing leaves your machine. A pmb setup command detects your agent and writes the MCP entry, and a local dashboard is available on 127.0.0.1.

Qué puedes hacer

Recall past decisions and lessons across agent sessions
Fetch project context, open goals and recent activity with prepare
Hybrid search over memory with recall
Record keyed personal facts that keep old values archived
Index project code structure and PDFs for later retrieval
Browse memory in a local dashboard on 127.0.0.1
Export all stored memory to Markdown or JSON

Herramientas

Los servidores locales muestran sus herramientas cuando están en marcha, y este no publica su lista por adelantado. Tu cliente las muestra después de añadirlo.

Prompts de ejemplo

Fix that pricing bug we hit last Tuesday, using what you remember about it.
Recall our earlier decision about the auth approach.
Remember that this project must never lower the threshold under 25%.
Index the PDF paper.pdf so you can answer questions about it later.

Configuración

Todos los clientes inician PMB AI en tu equipo con el mismo comando. Elige el tuyo; la página recuerda tu elección.

Claude Code

Run this in a terminal, in your project folder:

claude mcp add --transport stdio pmb-ai -- uvx pmb-ai

Start Claude Code and type /mcp. pmb-ai should show as connected.

Add --scope user to make it available in every project.

Claude Desktop

Open Settings → Developer → Edit Config. It opens claude_desktop_config.json. Add:

claude_desktop_config.json

{
  "mcpServers": {
    "pmb-ai": {
      "command": "uvx",
      "args": [
        "pmb-ai"
      ]
    }
  }
}

Save the file and restart Claude Desktop.

Needs uv (Python) on your computer. The file lives in ~/Library/Application Support/Claude/ on macOS and %APPDATA%\Claude\ on Windows.

Cursor

Añadir a Cursor (se abre en una pestaña nueva)

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

mcp.json

{
  "mcpServers": {
    "pmb-ai": {
      "command": "uvx",
      "args": [
        "pmb-ai"
      ]
    }
  }
}

Needs uv (Python) on your computer.

VS Code

Install in VS Code (se abre en una pestaña nueva)

Or from a terminal:

code --add-mcp '{"name":"pmb-ai","type":"stdio","command":"uvx","args":["pmb-ai"]}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json

{
  "servers": {
    "pmb-ai": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pmb-ai"
      ]
    }
  }
}

Needs uv (Python) on your computer.

Devin Desktop

Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):

mcp_config.json

{
  "mcpServers": {
    "pmb-ai": {
      "command": "uvx",
      "args": [
        "pmb-ai"
      ]
    }
  }
}

Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf.

Codex

codex mcp add pmb-ai -- uvx pmb-ai

Or edit ~/.codex/config.toml directly:

config.toml

[mcp_servers.pmb-ai]
command = "uvx"
args = ["pmb-ai"]

Needs uv (Python) on your computer.

Gemini CLI

gemini mcp add pmb-ai uvx pmb-ai

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients that start local servers accept this shape:

{
  "mcpServers": {
    "pmb-ai": {
      "command": "uvx",
      "args": [
        "pmb-ai"
      ]
    }
  }
}

Zed puts servers under context_servers in its settings, with the same command, args and env fields.

Needs uv (Python) on your computer.

Preguntas frecuentes

Can I paste mcp.tc/i/pmb-ai into my MCP client?

No. PMB AI runs on your own computer, started by your client, so it has no web address to connect to. The quick link is the page to share; the install command is uvx pmb-ai.

Does PMB AI need an API key?

No. It doesn’t declare any keys or environment variables. It runs with your user account’s permissions, so check what its tools can reach.

Is PMB AI a remote or a local server?

Local. Your client starts it as a process on your computer with uvx pmb-ai, which needs uv (Python).

What can PMB AI do?

You can recall past decisions and lessons across agent sessions, fetch project context, open goals and recent activity with prepare y hybrid search over memory with recall.

Which clients can use it?

Any client that starts local servers: Claude Code, Claude Desktop, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. claude.ai and ChatGPT only connect to remote servers.

Who wrote this page?

mcp.tc’s robot read PMB AI’s public metadata (its package and repository pages), and an AI model drafted the text from it. A person reviews anything the checks can’t confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

Insertar

Muestra PMB AI en un README o en tu web. Cada inserción enlaza a esta página, usa el comando de instalación del servidor y no instala cookies. Cómo funcionan las inserciones

Insignia para README

Markdown

[![PMB AI on mcp.tc](https://mcp.tc/i/pmb-ai/badge.svg)](https://mcp.tc/i/pmb-ai)

HTML

<a href="https://mcp.tc/i/pmb-ai"><img src="https://mcp.tc/i/pmb-ai/badge.svg" alt="PMB AI on mcp.tc" height="20"></a>

Sigue el modo claro u oscuro de quien lee. Añade ?theme=light o ?theme=dark para fijarlo, o ?style=compact para mostrar el símbolo sin la palabra.

Tarjeta para web

HTML

<script src="https://mcp.tc/w/pmb-ai.js" async></script>

La tarjeta aparece donde esté la etiqueta. Añade data-theme="dark" o data-size="compact" a la etiqueta para cambiarla. El archivo contiene todo lo que necesita, así que no hace otras solicitudes ni instala cookies.

iframe

HTML

<iframe src="https://mcp.tc/embed/pmb-ai" title="PMB AI on mcp.tc" width="420" height="200" loading="lazy" allow="clipboard-write" style="border:0;border-radius:8px;max-width:100%"></iframe>

Úsalo en páginas que no permiten scripts. Añade ?theme=light o ?theme=dark a la dirección para fijar los colores.

JSON

La ficha como datos para tus propias páginas y herramientas: nombre, descripción corta, comando de instalación, herramientas y los enlaces «Add to». Cualquier web puede leerla (CORS abierto).

https://mcp.tc/i/pmb-ai.json

Qué significa cada campo

mcp.tc no tiene relación con oleksiijko. Esta página se creó a partir de los metadatos públicos de PMB AI, comprobados por última vez el 4 oct 2026, y un modelo de IA escribió la descripción, así que puede contener errores. Los nombres y marcas pertenecen a sus titulares. ¿Algo no cuadra? Reportar esta ficha.

Instalar PMB AI

Compartir este servidor

Descripción

Qué puedes hacer

Herramientas

Prompts de ejemplo

Configuración

Claude Code

Claude Desktop

Cursor

VS Code

Devin Desktop

Codex

Gemini CLI

Any client

Preguntas frecuentes

Insertar

Insignia para README

Tarjeta para web

iframe

JSON

Servidores relacionados

memo

screenpipe

MCP Memory Service

MiniMax

Sequential Thinking, verificado

Memory, verificado