Midas

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

What does this entry provide?

Midas is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 64/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Midas to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 64/100
Install method: pypi
Repo: vornicx/Midas
Repo updated: Jun 7, 2026

Install command

uvx midas-memory-mcp==0.0.1

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Jun 7, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-06-07T12:56:07.644026Z",
      "publishedAt": "2026-06-07T12:56:07.644026Z",
      "statusChangedAt": "2026-06-07T12:56:07.644026Z"
    }
  },
  "server": {
    "name": "io.github.vornicx/midas",
    "title": "Midas",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.0.1",
    "packages": [
      {
        "version": "0.0.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "midas-memory-mcp",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "environmentVariables": [
          {
            "name": "MIDAS_MCP_DB",
            "description": "Path to a SQLite file to persist memory across restarts (default: in-memory)"
          },
          {
            "name": "MIDAS_MCP_EMBEDDER",
            "default": "local",
            "description": "Embedding backend: 'local' (bge ONNX, offline) or 'hashing' (default: local)"
          },
          {
            "name": "MIDAS_MCP_MAX_RECORDS",
            "description": "Cap the store; above it the lowest-value memories are auto-forgotten (no LLM)"
          },
          {
            "name": "MIDAS_MCP_MIN_IMPORTANCE",
            "default": "2",
            "description": "Relevance floor 1-5 for auto-capture; turns scoring below it are skipped"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/vornicx/Midas",
      "source": "github"
    },
    "description": "Local-first, source-traceable agent memory — no LLM at ingest, fully offline"
  }
}

Report an issue with this listing