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io.github.jmeyer1980/neurodivergent-memory

NPM · NEURODIVERGENT-MEMORY

Persistent knowledge graph MCP server for neurodivergent thinking. BM25 search, no cloud LLM.

0 this week 90 Trust /100

Last scanned (5 hours ago)

Scores higher than 93% of npm servers

Category Memory and Knowledge

Trust breakdown (7 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 → Why this is hard to score →

Supply Chain Security81
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects @modelcontextprotocol/sdk 1.28.0, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to jmeyer1980/neurodivergent-memory). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 93 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability86
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 823 tokens (~51/item across 16 items; 11 tools + 5 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
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
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "delete_memory" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.

  • 4 Nov 26 0
    • Stability: 0.97 → pass security
  • 3 Nov 26 0
    • Stability: pass → 0.97 functional
  • 29 Oct 26 0
    • CVE-2026-118663 affects this package: high ▼ security
  • 28 Oct 26 0
    • GHSA-f897-62hf-6gxq affects this package: high ▼ security
    • Stability: 0.97 → pass security
  • 27 Oct 26 0
    • Stability: pass → 0.97 functional
  • 21 Oct 26 0
    • CVE-2026-111771 affects this package: high ▼ security
    • CVE-2026-111768 affects this package: high ▼ security
    • CVE-2026-111769 affects this package: high ▼ security
    • CVE-2026-111767 affects this package: high ▼ security
    • Stability: 0.97 → pass security
  • 20 Oct 26 0
    • Stability: pass → 0.97 functional
  • 17 Oct 26 +2
    • Stability: 0.83 → pass security
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 5 Nov 2026 · Analysed npm/neurodivergent-memory@0.1.8

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo jmeyer1980/neurodivergent-memory
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/jmeyer1980/neurodivergent-memory/.github/workflows/release.yml@refs/tags/v0.1.8
Rekor log index 1191833878
Predicate type SLSA build provenance https://slsa.dev/provenance/v1
Subject digest sha512:a166bbbc1bd818d3d5b01088875288904e0e741bdae3d45efe5d162b3ca76bf4deece9af6b78997e28745142b340bf4c3e801527cf4f55a172a525b04

Background: How many MCP packages publish verified provenance →

Vulnerabilities 7 findings
ID CVE Severity Vector Fix available
GHSA-rmxm-3fg6-px4f CVE-2026-118663 medium CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N yes
GHSA-22jm-h49p-29qw CVE-2026-111767 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L yes
GHSA-46jr-4wx8-v453 CVE-2026-111768 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-6prh-2h8m-c8cw CVE-2026-111769 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:N yes
GHSA-6qxp-vccf-f47h CVE-2026-104850 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N yes
GHSA-f897-62hf-6gxq high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes
GHSA-rvq5-wwqv-78pq CVE-2026-111771 medium CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 92 packages
Packages resolved 92
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 11 exposed · ~742 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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
connect_memories ~57

Create connections between memories (like neural pathways)

NameTypeReqDescription
bidirectionalboolean–Whether connection goes both ways
memory_id_1stringyesFirst memory ID
memory_id_2stringyesSecond memory ID

No output schema declared.

No examples provided.

delete_memory ~33

Permanently delete a memory and remove all its connections

NameTypeReqDescription
memory_idstringyesID of the memory to delete

No output schema declared.

No examples provided.

import_memories ~48

Bulk-import memories from a JSON array. Each entry requires content and district; tags, emotional_valence, and intensity are optional.

NameTypeReqDescription
entriesarrayyesArray of memory entries to import

No output schema declared.

No examples provided.

list_memories ~68

List stored memories with optional pagination and filters

NameTypeReqDescription
archetypestring–Optional archetype filter
districtstring–Optional district filter
pagenumber–Page number (default 1)
page_sizenumber–Results per page (default 20)

No output schema declared.

No examples provided.

memory_stats ~32

Return aggregate statistics: total count, per-district counts, connection count, most-accessed nodes, and orphan nodes

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

related_to ~62

Find memories related to a given memory ID, ranked by graph proximity + BM25 semantic score

NameTypeReqDescription
memory_idstringyesSource memory ID
querystring–Optional extra query to bias semantic ranking. If omitted, the source memory content is used.

No output schema declared.

No examples provided.

retrieve_memory ~29

Retrieve a specific memory by ID

NameTypeReqDescription
memory_idstringyesID of the memory to retrieve

No output schema declared.

No examples provided.

search_memories ~154

Search memories using BM25 semantic ranking. Returns results sorted by relevance score (0-1).

NameTypeReqDescription
districtstring–Optional district filter
emotional_valence_maxnumber–Maximum emotional valence filter (-1 to 1)
emotional_valence_minnumber–Minimum emotional valence filter (-1 to 1)
intensity_maxnumber–Maximum intensity filter (0-1)
intensity_minnumber–Minimum intensity filter (0-1)
min_scorenumber–Minimum relevance score (0-1). Only return results at or above this threshold.
querystringyesSearch query
tagsarray–Optional tag filters (OR logic)

No output schema declared.

No examples provided.

store_memory ~93

Store a new memory in a specific district of the neurodivergent mind

NameTypeReqDescription
contentstringyesThe memory content/thought to store
districtstringyesMemory district to store in
emotional_valencenumber–Emotional charge (-1 to 1)
intensitynumber–Mental energy/importance (0-1)
tagsarray–Optional tags for categorization

No output schema declared.

No examples provided.

traverse_from ~65

Walk the memory graph from a starting node up to N hops deep, returning all reachable memories

NameTypeReqDescription
depthnumber–Maximum hops to traverse (default 2)
districtstring–Optional district filter for results
memory_idstringyesStarting memory ID

No output schema declared.

No examples provided.

update_memory ~101

Update an existing memory's content, tags, district, emotional_valence, or intensity

NameTypeReqDescription
contentstring–New content (optional)
districtstring–New district (optional)
emotional_valencenumber–New emotional charge (optional)
intensitynumber–New intensity (optional)
memory_idstringyesID of the memory to update
tagsarray–New tags (optional, replaces existing)

No output schema declared.

No examples provided.

Install

How do I install the io.github.jmeyer1980/neurodivergent-memory MCP server?

io.github.jmeyer1980/neurodivergent-memory runs locally as an npm package, launched with npx -y neurodivergent-memory. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · neurodivergent-memory

# add to Claude Code
claude mcp add jmeyer1980-neurodivergent-memory -- npx -y neurodivergent-memory
Common questions

What is the io.github.jmeyer1980/neurodivergent-memory MCP server?

io.github.jmeyer1980/neurodivergent-memory is an MCP server listed in the public MCP registry as io.github.jmeyer1980/neurodivergent-memory. Persistent knowledge graph MCP server for neurodivergent thinking. BM25 search, no cloud LLM. This page covers its npm package (neurodivergent-memory).

Is the io.github.jmeyer1980/neurodivergent-memory MCP server safe to use?

io.github.jmeyer1980/neurodivergent-memory scores 90 out of 100 on VerifyMCP. We recorded 7 known advisories against it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.jmeyer1980/neurodivergent-memory MCP server expose?

io.github.jmeyer1980/neurodivergent-memory exposes 11 tools: store_memory, retrieve_memory, update_memory, delete_memory, connect_memories, and 6 more. Their descriptions and schemas cost roughly 742 tokens of context every time the server is loaded.

Is the io.github.jmeyer1980/neurodivergent-memory MCP server still maintained?

io.github.jmeyer1980/neurodivergent-memory is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.jmeyer1980/neurodivergent-memory MCP server under?

io.github.jmeyer1980/neurodivergent-memory declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.