recall-memory-mcp

Item: recall-memory-mcp
Rating: 69
Author: M8ven

Enables AI agents to store, retrieve, and self-improve procedural memories (lessons learned) based on relevance to the current task, pruning unused memories to reduce context load and prevent repetition of past mistakes.

→ ashleyevz89-hue/recall-memory-mcp · listed on glama

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// key findings

✅

8 tools verified — handlers match their declared behaviour

4 read-only tools verified — handlers contain no write/delete/exec

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configRECALL_FAST— unset Skip the embedding import (pure BM25); used on the hook hot path.

configRECALL_PREFLIGHT_FLOOR— 0 Minimum score for a preflight check (the overlap gate does the real filtering).

configRECALL_OVERLAP_MIN— 2 Distinctive terms a task must share with a guardrail before it fires.

configRECALL_MEMORY_ROOT— /path/to/your/agent/repo python mcp_server.py # as a stdio MCP server

configRECALL_LEARNED_PATH— root>/harness-memory/learned.json Where runtime lessons are stored.

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/ashleyevz89-hue-recall-memory-mcp-1lyqds)](https://m8ven.ai/mcp/ashleyevz89-hue-recall-memory-mcp-1lyqds)

commit: 58427df0f16bbb5095de6d2a082d5baa5015c1af

code hash: f317c4c4f7327d2b73376cef924d8c2f7a29fe466e4cde3398a292489940430f

verified: 7/1/2026, 9:58:27 AM

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