MCP.Market

Wisdomgraph MCP server

by cklam12345·io.github.cklam12345/wisdomgraph·v0.2.0·2 stars
No reviews yet

Neo4j-native DIKW memory for Claude Code — knowledge that compounds across sessions

B78/100grade B
Write a reviewInstall
What users say
No reviews yet
Be the first
Safety scan
B78/100

full report

Adoption
New

2 stars

Reviews

Write one

Nobody has reviewed Wisdomgraph yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Wisdomgraph tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 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 qualitystatic API keys via environment variables6/15
  • Maintenancelast push 78 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Wisdomgraph compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 48,273 servers
GitHub stars
2
more than 75% of 28,534 servers

Install Wisdomgraph in Claude Code, Cursor or VS Code

Runs npx -y wisdomgraph on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add wisdomgraph -- npx -y wisdomgraph
Add to Cursor

What the publisher says

From the Wisdomgraph repository's README, as published. We do not edit it. Read it on GitHub

wisdomGraph

English | 简体中文

Graph-native persistent cognition for AI agents.

graphify gives you a snapshot. wisdomGraph gives you memory that compounds.

Use wisdomGraph from Claude Code, Codex, OpenClaw, or any MCP host. Feed it your codebases, notes, papers, conversations — every run merges into a living Neo4j graph. The graph doesn't reset. It accumulates. Facts become patterns. Patterns become insights. Insights become wisdom.

/wisdom .                      # absorb this project into the wisdom graph
/wisdom ask "what patterns repeat across all my projects?"
/wisdom reflect                # promote insights → wisdom, close the feedback loop

The step function over graphify

graphify is excellent at what it does: turn a folder into a knowledge graph snapshot. One run, one graph.json, one GRAPH_REPORT.md. Read it. Next session, start over.

wisdomGraph does something fundamentally different.

The difference is not incremental. It's architectural. graphify compresses a codebase into a readable report. wisdomGraph builds an artificial epistemology — one that remembers, connects, and grows.

The DIKW pyramid, operationalized

Human experts don't store flat facts. They organize experience into layers:

Wisdom    ← actionable principles derived from patterns
  ↑
Insight   ← patterns detected across multiple experiences
  ↑
Experience ← events, decisions, outcomes with context
  ↑
Knowledge ← verified facts, documented behaviors, extracted structure

Every node in the wisdomGraph carries a tier label. The graph topology is the cognitive architecture. When you ask a question, Cypher traverses upward through the tiers — not keyword-matching flat text, but reasoning across lived experience.

The feedback loop is critical: when a Wisdom node is queried and found useful, it reinforces connected Knowledge nodes. The graph learns what matters.

Install

Requires: Python 3.10+ and one of: Claude Code, Codex, OpenClaw, or another MCP host

And one of: Neo4j Aura Free (cloud, no install) or Docker Desktop/Engine for a managed local Neo4j container

pip install 'wisdomgraph[mcp]'
wisdom quickstart

wisdom quickstart is the end-to-end first-time setup. It prepares storage, verifies the Neo4j connection, and registers wisdomGraph with detected MCP hosts.

# Local managed Neo4j backend + detected MCP hosts
wisdom quickstart

# Local backend + Codex only
wisdom quickstart --host codex

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Wisdomgraph: common questions

Is Wisdomgraph MCP server safe?
Mostly: it is graded B (78/100). Read the Wisdomgraph safety report
How do I install Wisdomgraph?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Wisdomgraph need an API key?
Yes. The registry entry asks for WISDOM_NEO4J_PASSWORD.
Is Wisdomgraph maintained?
The last commit was 113 days ago (2026-07-11). The latest release is v0.2.0.
What can I use instead of Wisdomgraph?
Servers from other publishers that do the same job: Neo4j Memory MCP server, Codebase Memory MCP server and Deja Vu MCP server.
How does Wisdomgraph compare with other MCP servers?
safety score 78/100 (higher than 57% of 48,273 servers); github stars 2 (more than 75% of 28,534 servers). Full comparison.

Alternatives to Wisdomgraph

Same job from other publishers: the closest match first, then the best rated.

  • Neo4j Memory
    MCP Neo4j Knowledge Graph Memory Server
    A
  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
    C
  • Deja Vu
    deja-vu: local memory over the session histories of forty-three coding agents.
    A