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Midas MCP Server

local only

Midas runs on your own machine — the client starts it, so there is no endpoint to ping. 78 installs a week from pypi. Last commit 28 Jul 2026.

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

Installs per day peak 24 · avg 11 · -17% w/w
a month agotoday
78
Installs / week
pypi · midas-memory-mcp
14
Stars
1 open issue
28 Jul 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 3 d ago · rules 995398eba69f

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Runs an external command midas/cli.py:133
        subprocess.run(remove, capture_output=True, text=True)  # best-effort; ignore if not present

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Nothing serious here today

Today is the operative word: we check Midas every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add midas -- uvx midas-memory-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "midas": {
      "command": "uvx",
      "args": [
        "midas-memory-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.midas]
command = "uvx"
args = ["midas-memory-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "midas": {
      "command": "uvx",
      "args": [
        "midas-memory-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "midas": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "midas-memory-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: MIDAS_MCP_DB (Path to a SQLite file to persist memory across restarts (default: in-memory)), MIDAS_MCP_EMBEDDER (Embedding backend: 'local' (bge ONNX, offline) or 'hashing' (default: local)), MIDAS_MCP_MAX_RECORDS (Cap the store; above it the lowest-value memories are auto-forgotten (no LLM)), MIDAS_MCP_MIN_IMPORTANCE (Relevance floor 1-5 for auto-capture; turns scoring below it are skipped).

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Midas — questions

Answers built from our own checks of this server.

Why is there no uptime for Midas?
Midas runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package midas-memory-mcp was installed 78 times last week.
How do I connect Midas?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls midas-memory-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Midas?
The pypi package midas-memory-mcp was installed 78 times in the last week. Week over week that is -17%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Midas open source?
Yes — it is published under the MIT licence, written in Python, 14 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.