MCP Memory Service

Servidor MCP de doobidoo

Store and search persistent semantic memory with a knowledge graph, shared across agents, sessions and AI clients.

Se ejecuta en localSe ejecuta con uvx

Instalar MCP Memory Service

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

uvx --from mcp-memory-service memory server

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

MCP Memory Service is a self-hosted memory backend for AI assistants and agent pipelines. It stores decisions, project context and code patterns, and retrieves them by semantic search. A knowledge graph links memories with typed relationships, and a consolidation step compresses older memories. Embeddings run locally via ONNX.

It runs locally over stdio with uvx (uvx --from mcp-memory-service memory server) or pip install mcp-memory-service. The same service can also run as an HTTP server with a REST API and web dashboard (memory server --http). Storage backends include SQLite, Cloudflare, Hybrid and Milvus. No API key is needed for local use.

Qué puedes hacer

Store memories that persist across sessions and agents
Search memories by semantic similarity
Filter memories by tags with AND/OR matching
Link memories in a knowledge graph with typed edges
Consolidate older memories automatically
Use the REST API and web dashboard in HTTP mode
Tag memories by agent identity with the X-Agent-ID header

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

Remember that we chose SQLite for this project because of single-user deployment.
Search my memory for past decisions about the authentication design.
Find memories tagged architecture and database.
What did we decide last week about the API versioning?

Configuración

Todos los clientes inician MCP Memory Service 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 mcp-memory-service -- uvx --from mcp-memory-service memory server

Start Claude Code and type /mcp. mcp-memory-service 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": {
    "mcp-memory-service": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-memory-service",
        "memory",
        "server"
      ]
    }
  }
}

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": {
    "mcp-memory-service": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-memory-service",
        "memory",
        "server"
      ]
    }
  }
}

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":"mcp-memory-service","type":"stdio","command":"uvx","args":["--from","mcp-memory-service","memory","server"]}'

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

.vscode/mcp.json

{
  "servers": {
    "mcp-memory-service": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "--from",
        "mcp-memory-service",
        "memory",
        "server"
      ]
    }
  }
}

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": {
    "mcp-memory-service": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-memory-service",
        "memory",
        "server"
      ]
    }
  }
}

Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf.

Codex

codex mcp add mcp-memory-service -- uvx --from mcp-memory-service memory server

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

config.toml

[mcp_servers.mcp-memory-service]
command = "uvx"
args = ["--from", "mcp-memory-service", "memory", "server"]

Needs uv (Python) on your computer.

Gemini CLI

gemini mcp add mcp-memory-service uvx -- --from mcp-memory-service memory server

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": {
    "mcp-memory-service": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-memory-service",
        "memory",
        "server"
      ]
    }
  }
}

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/mcp-memory-service into my MCP client?

No. MCP Memory Service 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 --from mcp-memory-service memory server.

Does MCP Memory Service 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 MCP Memory Service a remote or a local server?

Local. Your client starts it as a process on your computer with uvx --from mcp-memory-service memory server, which needs uv (Python).

What can MCP Memory Service do?

You can store memories that persist across sessions and agents, search memories by semantic similarity y filter memories by tags with AND/OR matching.

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 MCP Memory Service’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

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Qué significa cada campo

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Instalar MCP Memory Service

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

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