MCP Memory Service

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

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uvx --from mcp-memory-service memory server

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listing.about

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.

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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

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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?

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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

Add to Cursor a11y.new_tab

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 a11y.new_tab

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.

listing.faq

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 and 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.

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Claude Code

Claude Desktop

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VS Code

Devin Desktop

Codex

Gemini CLI

Any client

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