mcp-neo4j: Neo4j Labs Model Context Protocol servers

by neo4j-contrib · MCP Server · ★ 980

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Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars980
Forks258
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues25
Last Updated2026-09-09
Created2024-12-03
Platformsmcp, python
Est. Tokens~14k

About mcp-neo4j

Neo4j Labs MCP Servers Neo4j Labs These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team.

Compatible Skills

These tools work well together with mcp-neo4j for enhanced workflows:

  • llm-movieagent — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
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  • python-sdk — semantic(0.21)+complementary+same_lang+shared_platform (47%)
  • MCPBench — semantic(0.33)+rare_topics+same_lang+similar_pop+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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