Hypermarrow MCP server
io.github.qianqiuwanzi/hypermarrow-mcp·v0.1.1Local-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Hypermarrow tools (4)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
consolidateMerge duplicate memory entries and age out entries older than 90 days. Returns a short summary.
file_anchorAnchor a short name to an absolute local file path so future queries can resolve "the spec" to the real document.
recall_memoryRecall the most relevant stored contexts given a query. Returns up to 5 ranked entries.
record_contextCapture a piece of local working context (a decision, a fact, a preference) into persistent memory. Nothing is uploaded to the cloud unless HYPERMARROW_ENDPOINT is set.
Public scan report
scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it
- Code scan4 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner6/10
How Hypermarrow compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 89/100
- higher than 80% of 48,255 servers
- Tools
- 4
- the typical server has 7
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
What its tools let an agent do: 4 read
Install Hypermarrow in Claude Code, Cursor or VS Code
Runs npx -y hypermarrow-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add hypermarrow-mcp -- npx -y hypermarrow-mcp
What the publisher says
From the Hypermarrow repository's README, as published. We do not edit it. Read it on GitHub
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-mcpOr add to your MCP client config:
{
"mcpServers": {
"hypermarrow": {
"command": "npx",
"args": ["-y", "hypermarrow-mcp"]
}
}
}Product
- Homepage: https://hm.qianshi.cool/
- Company: 千视科技 (qianshi.cool)
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.
Nothing above is checked by us. What we check is on the safety report.
Hypermarrow: common questions
- Is Hypermarrow MCP server safe?
- Yes, by our scan: it is graded A (89/100). Read the Hypermarrow safety report
- How do I install Hypermarrow?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Hypermarrow need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Hypermarrow maintained?
- The last commit was 39 days ago (2026-09-26). The latest release is v0.1.1.
- What can I use instead of Hypermarrow?
- Servers from other publishers that do the same job: Memorix MCP server and Nautilus Compass Memory MCP server.
- How does Hypermarrow compare with other MCP servers?
- safety score 89/100 (higher than 80% of 48,255 servers); tools 4 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Hypermarrow
Same job from other publishers: the closest match first, then the best rated.
MemorixLocal-first project memory with legacy MCP and 2026 discovery compatibility.not reviewedEstablishedB- Nautilus Compass MemoryLocal-first long-term memory for AI agents, with byte-recomputable signed verification receipts.not reviewedEstablishedB