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io.github.AINative-Studio/ainative-memory-mcp

NPM · AINATIVE-MEMORY-MCP · SCANNED AUG 3

Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.

Available components

64 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 Security87
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (108 of 109), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (108 of 109), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability71
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 431 tokens (~43/item across 10 items; 10 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 Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: 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.

npm · ainative-memory-mcp

# add to Claude Code
claude mcp add ainative-studio-ainative-memory-mcp -- npx -y ainative-memory-mcp
# add to Codex CLI
codex mcp add ainative-studio-ainative-memory-mcp -- npx -y ainative-memory-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ainative-studio-ainative-memory-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "ainative-memory-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ainative-studio-ainative-memory-mcp --command npx --arg -y --arg ainative-memory-mcp
# ~/.hermes/config.yaml
mcp_servers:
  ainative-studio-ainative-memory-mcp:
    command: "npx"
    args: ["-y", "ainative-memory-mcp"]
// mcp.json
{
  "mcpServers": {
    "ainative-studio-ainative-memory-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "ainative-memory-mcp"
      ]
    }
  }
}
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.

  • 2 Aug 26 +43
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Schema quality: unverified → good functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Licence: MIT functional
  • 1 Aug 26 21

    First indexed and scored.

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 npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 108 packages

108 packages in the resolved dependency tree · 108 deprecated · 32 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 10 exposed · ~431 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_observations ~33

Add new observations to existing entities in the knowledge graph.

NameTypeReqDescription
observationsarrayyesArray of observations to add

No output schema declared.

No examples provided.

create_entities ~57

Create multiple new entities in the knowledge graph. Entities are the fundamental nodes with a name, type, and list of observations. Stored in ZeroDB cloud — persists across sessions and devices.

NameTypeReqDescription
entitiesarrayyesArray of entities to create

No output schema declared.

No examples provided.

create_relations ~39

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice.

NameTypeReqDescription
relationsarrayyesArray of relations to create

No output schema declared.

No examples provided.

delete_entities ~35

Delete multiple entities and their associated relations from the knowledge graph.

NameTypeReqDescription
entityNamesarrayyesAn array of entity names to delete

No output schema declared.

No examples provided.

delete_observations ~32

Delete specific observations from entities in the knowledge graph.

NameTypeReqDescription
deletionsarrayyesArray of deletions

No output schema declared.

No examples provided.

delete_relations ~29

Delete multiple relations from the knowledge graph.

NameTypeReqDescription
relationsarrayyesArray of relations to delete

No output schema declared.

No examples provided.

open_nodes ~33

Open specific nodes in the knowledge graph by their names.

NameTypeReqDescription
namesarrayyesAn array of entity names to retrieve

No output schema declared.

No examples provided.

read_graph ~19

Read the entire knowledge graph from ZeroDB cloud storage.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_nodes ~59

Search for nodes in the knowledge graph based on a text query. Matches against entity names, types, and observation content (case-insensitive substring match).

NameTypeReqDescription
querystringyesThe search query to match against entity names, types, and observation content

No output schema declared.

No examples provided.

search_nodes_semantic ~95

Search for nodes in the knowledge graph using semantic vector similarity. Unlike search_nodes which does exact text matching, this finds entities by meaning — e.g., searching "machine learning frameworks" would find entities about "PyTorch" or "TensorFlow" even without those exact words.

NameTypeReqDescription
limitnumberMaximum number of results (default: 10)
querystringyesNatural language query to search by meaning

No output schema declared.

No examples provided.