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Hypermarrow MCP Server

Developer ToolsModerate6.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

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

6.2
Moderate6.2Moderate Risk

HyperMarrow is a well-intentioned local-first memory MCP server with sound architecture and appropriate privacy-by-default design. The codebase is clean and focused. However, there are minor security concerns around optional remote endpoint handling, lack of path validation for file anchors, and insufficient input sanitization that warrant attention before production use. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.

4 files analyzed · 10 issues found

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

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

network_https

Check that this permission is expected for this type of plugin.

env_vars

Check that this permission is expected for this type of plugin.

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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