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io.github.n24q02m/mnemo-mcp

OCI · DOCKER.IO/N24Q02M/MNEMO-MCP:LATEST · 2 COMPONENTS · SCANNED AUG 3

Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.

−2 this week 28 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security0
  • Malware scan not yet available for this package.Unverified
  • CVE data not yet available for this package.Unverified
  • Install-script risk not yet assessed.Unverified
  • Dependency-health data not yet available.Unverified
Provenance & Transparency6
Schema Quality & AI Usability73
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 1498 tokens (~99/item across 15 items; 15 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 2 categories

Categories scored 0 because we could not verify them: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

oci · docker.io/n24q02m/mnemo-mcp:latest

# add to Claude Code
claude mcp add n24q02m-mnemo-mcp -- docker run --rm -i docker.io/n24q02m/mnemo-mcp:latest
# add to Codex CLI
codex mcp add n24q02m-mnemo-mcp -- docker run --rm -i docker.io/n24q02m/mnemo-mcp:latest
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "n24q02m-mnemo-mcp": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "docker.io/n24q02m/mnemo-mcp:latest"
      ],
      "enabled": true
    }
  }
}
# ~/.hermes/config.yaml
mcp_servers:
  n24q02m-mnemo-mcp:
    command: "docker"
    args: ["run", "--rm", "-i", "docker.io/n24q02m/mnemo-mcp:latest"]
// mcp.json
{
  "mcpServers": {
    "n24q02m-mnemo-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "docker.io/n24q02m/mnemo-mcp:latest"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 1 Aug 26 −2
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 +29
    • Schema quality: unverified → 100 functional
    • Tool coverage: unverified → 100 functional
    • First check of Schema quality: fail functional
    • First check of Tool coverage: 100 functional
    • First check of Schema quality: pass functional
    • First check of Tool coverage: 0 functional
    • First check of Schema quality: fair functional
  • 26 Jul 26 1

    First indexed and scored.

    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed oci/docker.io/n24q02m/mnemo-mcp:latest

Provenance none

Ecosystem: oci · Outcome: none

Reason: no_attestation

MCP tools — 15 exposed · ~1,478 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
add_memory ~74

Store NEW information. Use for preferences, decisions, facts. ACTION GUIDE — when to use: - Use when saving new information for the first time. Example: content='User prefers dark mode', category='preference', tags=['ui']

NameTypeReqDescription
category
contentstringyes
tags

Structured output declared, but exposes no named fields.

No examples provided.

archived_memories ~49

List archived memories. ACTION GUIDE — when to use: - Use to view memories that have been soft-deleted or automatically archived due to low importance/recency.

NameTypeReqDescription
limitinteger

Structured output declared, but exposes no named fields.

No examples provided.

config ~173

Server config, sync, and setup. Actions: status|sync|set|warmup|setup_sync. ACTION GUIDE — when to use each: - status: Show current configuration, setup status, and database stats. - sync: Trigger manual sync (requires sync_enabled=true + google_drive_client_id). - set: Update a setting. Requires 'key' and 'value'. Valid keys: 'sync_enabled' (true/false), 'sync_interval' (int), 'log_level' (str). Example: action='set', key='sync_enabled', value='true' - warmup: Pre-download embedding model (~570 MB) to avoid delays later. - setup_sync: Authenticate Google Drive via Device Code OAuth flow.

NameTypeReqDescription
actionstringyes
key
value

Structured output declared, but exposes no named fields.

No examples provided.

config__open_relay ~46

Open the relay configuration form for mnemo-mcp in the user's browser. Returns the relay URL, whether the browser launched, and the current status.

NameTypeReqDescription
ctxyes

Structured output declared, but exposes no named fields.

No examples provided.

consolidate_memories ~63

Summarize similar memories in a category (requires LLM API keys). ACTION GUIDE — when to use: - Use when a category has too many redundant or closely related memories and needs cleanup. Example: category='preference'

NameTypeReqDescription
categorystringyes

Structured output declared, but exposes no named fields.

No examples provided.

delete_memory ~56

Remove a memory by ID. ACTION GUIDE — when to use: - Use when a memory is completely outdated, incorrect, or explicitly requested to be forgotten. Example: memory_id='abc123'

NameTypeReqDescription
memory_idstringyes

Structured output declared, but exposes no named fields.

No examples provided.

export_memories ~39

Export all memories as JSONL. ACTION GUIDE — when to use: - Use when the user requests a backup or raw dump of their memory database.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

help ~55

Full documentation for memory and config tools. topic: 'memory' | 'config' ACTION GUIDE — when to use: - Use when you need detailed instructions on how to use specific server tools or features.

NameTypeReqDescription
topicstring
NameTypeReqDescription
resultstringyes

No examples provided.

import_memories ~72

Import memories from JSONL data or a list of objects. ACTION GUIDE — when to use: - Use when restoring from a backup or migrating data into the memory system. Example: data='[{"content": "example"}]', mode='merge'

NameTypeReqDescription
datayes
modestring

Structured output declared, but exposes no named fields.

No examples provided.

list_memories ~70

Browse all memories, optionally filtered by category. ACTION GUIDE — when to use: - Use when you want to view a broad set of memories, or see what's in a specific category. Example: category='preference', limit=10

NameTypeReqDescription
category
limitinteger

Structured output declared, but exposes no named fields.

No examples provided.

memory ~516

[DEPRECATED — use the granular tools (add_memory, search_memory, ...) instead; this composite tool will be removed in a future release] Legacy dispatcher for backward compatibility. Use specialized tools (add_memory, search_memory, etc.) instead. Persistent memory store. Actions: add|search|list|update|delete|export|import|stats|restore|archived|consolidate. ACTION GUIDE — when to use each: - add: Store NEW information. Requires 'content'. Use when saving preferences, decisions, facts for the first time. Example: action='add', content='User prefers dark mode', category='preference', tags=['ui'] - search: Find existing memories by natural language query. Requires 'query'. Use BEFORE add to avoid duplicates. Example: action='search', query='dark mode preference' - update: Modify an EXISTING memory by ID. Requires 'memory_id' (from search/list results). Use when a fact changes. Example: action='update', memory_id='abc123', content='User now prefers light mode' - list: Browse all memories, optionally filtered by category. No query needed. - delete: Remove a memory by ID. Requires 'memory_id'. - stats: Show database statistics (total memories, categories, embedding status). - export: Export all memories to JSONL format. - import: Import memories from JSONL data. Requires 'data'. - archived: List archived memories. Optionally filter by limit. - restore: Restore an archived memory by ID. Requires 'memory_id'. - consolidate: Summarize and consolidate similar memories in a category using LLM. Requires 'category'. WORKFLOW: search -> not found? -> add. Found outdated? -> update (with memory_id from results). PROACTIVE: save user preferences, decisions, corrections, project conventions.

NameTypeReqDescription
actionstringyes
as_of
autoboolean
category
content
context_typestring
data
depthinteger
entity_id
importance
include_archivedboolean
limitinteger
memory_id
min_importancenumber
modestring
name
query
since
source
tags
text
until

Structured output declared, but exposes no named fields.

No examples provided.

memory_stats ~50

Show database statistics (total memories, categories, embedding status). ACTION GUIDE — when to use: - Use when you need to understand the scale or health of the memory database, or check if embeddings are enabled.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

restore_memory ~54

Restore an archived memory by ID. ACTION GUIDE — when to use: - Use to bring a previously archived memory back into the active search pool. Example: memory_id='abc123'

NameTypeReqDescription
memory_idstringyes

Structured output declared, but exposes no named fields.

No examples provided.

search_memory ~71

Find existing memories by natural language query. Always search before adding. ACTION GUIDE — when to use: - Use BEFORE adding new information to avoid duplicates. Example: query='dark mode preference'

NameTypeReqDescription
category
limitinteger
querystringyes
tags

Structured output declared, but exposes no named fields.

No examples provided.

update_memory ~90

Modify an EXISTING memory by ID. Get memory_id from search results. ACTION GUIDE — when to use: - Use when an existing fact or preference changes. Example: memory_id='abc123', content='User now prefers light mode'

NameTypeReqDescription
category
content
importance
memory_idstringyes
source
tags

Structured output declared, but exposes no named fields.

No examples provided.