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Midas

local MCP server

Midas is a local MCP server: Local-first, source-traceable agent memory — no LLM at ingest, fully offline. Install it from pypi as midas-memory-mcp.

Installation

Terminal

claude mcp add midas -e MIDAS_MCP_DB=... -e MIDAS_MCP_EMBEDDER=... -e MIDAS_MCP_MAX_RECORDS=... -e MIDAS_MCP_MIN_IMPORTANCE=... -- uvx midas-memory-mcp

Run in your project folder. Add --scope user to use it everywhere.

Claude Desktop, Cursor & other clients

Add to claude_desktop_config.json or .cursor/mcp.json.

{
  "mcpServers": {
    "midas": {
      "command": "uvx",
      "args": [
        "midas-memory-mcp"
      ],
      "env": {
        "MIDAS_MCP_DB": "...",
        "MIDAS_MCP_EMBEDDER": "...",
        "MIDAS_MCP_MAX_RECORDS": "...",
        "MIDAS_MCP_MIN_IMPORTANCE": "..."
      }
    }
  }
}

Fill in the environment variables with your own credentials.

What you need

  • Runtime: Python with uv (runs with uvx).
  • MCP client: Claude Code, Codex, Antigravity, Claude Desktop, Cursor or any other client that speaks MCP over stdio.
  • Environment variables: MIDAS_MCP_DB, MIDAS_MCP_EMBEDDER, MIDAS_MCP_MAX_RECORDS, MIDAS_MCP_MIN_IMPORTANCE

Summary

Local-first, source-traceable agent memory — no LLM at ingest, fully offline

Midas vs similar servers

ServerStarsTypeAPI keyRuntime
Midas14LocalYespypi
agent-recall371LocalNonpm
Agent-Native Content6,874HostedNoNone
Persome1,324LocalNopypi
projectmem844LocalNopypi

Questions

It reads 4 environment variables: MIDAS_MCP_DB, MIDAS_MCP_EMBEDDER, MIDAS_MCP_MAX_RECORDS, MIDAS_MCP_MIN_IMPORTANCE. Set them in your MCP config before starting the server.

Python with uv (runs with uvx), plus an MCP client such as Claude Code, Codex, Claude Desktop or Cursor.

Midas is a local MCP server distributed as the pypi package midas-memory-mcp.

Run: claude mcp add midas -e MIDAS_MCP_DB=... -e MIDAS_MCP_EMBEDDER=... -e MIDAS_MCP_MAX_RECORDS=... -e MIDAS_MCP_MIN_IMPORTANCE=... -- uvx midas-memory-mcp

Run: codex mcp add midas --env MIDAS_MCP_DB=... --env MIDAS_MCP_EMBEDDER=... --env MIDAS_MCP_MAX_RECORDS=... --env MIDAS_MCP_MIN_IMPORTANCE=... -- uvx midas-memory-mcp

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NameStars
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  3. Persomeio.github.Intuition-Lab/personal-model1,324
  4. projectmemio.github.riponcm/projectmem844
  5. Agent Swarmio.github.desplega-ai/agent-swarm835
  6. Memorixio.github.AVIDS2/memorix809
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