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Hypermarrow MCP Server

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Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.

About

Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.

Security Report

0.0
Use Caution0.0Moderate Risk

4 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-qianqiuwanzi-hypermarrow-mcp": {
      "args": [
        "-y",
        "hypermarrow-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

HyperMarrow MCP Server

Local-first AI memory layer for the Model Context Protocol.

hypermarrow-mcp lets any MCP-compatible client read and write your long-term memory:

  • record_context – remember a decision, fact, or preference
  • recall_memory – retrieve the most relevant past context
  • consolidate – merge duplicates and age out stale entries
  • file_anchor – map a short name to a local file path

All memory lives under ~/.hypermarrow/memory.json on your own machine. Nothing is sent to the cloud unless you explicitly set HYPERMARROW_ENDPOINT to your own backend.

Install

npx -y hypermarrow-mcp

Or add to your MCP client config:

{
  "mcpServers": {
    "hypermarrow": {
      "command": "npx",
      "args": ["-y", "hypermarrow-mcp"]
    }
  }
}

Product

Privacy

Memory data is stored locally. The server only talks to the client over stdio and, optionally, to a user-configured HYPERMARROW_ENDPOINT. No telemetry, no cloud sync by default.

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