Active

mcp-neo4j

Neo4j Labs Model Context Protocol servers

GitHub ↗
42
TrustScore
✅ No clear abandonment signal detected; complete security and compatibility checks before production use

What it does for you

Lets your AI work with Neo4j — query relationships with Cypher and explore graphs, asking 'who's connected to whom' in plain language.

Capabilities

  • Run Cypher queries
  • Explore nodes and relationships

Once installed, try asking your AI

Say this directly in Claude / Cursor or any client with this server connected

  • Find everyone within two hops of this user

Install / Connect

# No npm package — install from source.
# See the repo's README for the exact command:
# https://github.com/neo4j-contrib/mcp-neo4j

Follow the official README; env and args vary per server.

🛠️ Maintenance weight 30% · 20 pts

📝
Last commit110 days ago
📈
Commits in 90 days0
💬
Recent issues with replies11%
🗃️
Repo statusNormal

📊 Adoption weight 25% · 54 pts

GitHub stars982 (90d +0%)
📦
npm weekly downloadsNot npm-distributed
🚀
Releases per month

✅ Usability weight 20% · 20 pts

📋
Official registryNot listed
▶️
Runnable entryNot resolvable
🔍
AuditabilityOpen-source repo, auditable

❤️ Health & community weight 25% · 72 pts

🐛
open issues25
🔀
open PRs
⚖️
LicenseMIT
👥
Contributors / forks22 / 256

Sources: GitHub API · updated 2026-07-30

90-day trend

⭐ stars +0%

Similar / alternative servers

How to choose among these

Database servers split into relational vs. vector; vector stores are all for RAG, differing by scale and hosting.

  • Relational DB (business data, SQL)Pick Supabase / Neon / MongoDB / ClickHouse — match your DB
  • RAG with semantic memoryPick a vector store: Pinecone (scaled) / Qdrant / Chroma (light) / Weaviate

One email a week, 5 minutes to see what happened in the MCP ecosystem

New servers, breakout trends, abandonment alerts — tracked automatically, curated by hand, sent to your inbox.

One email a week · unsubscribe anytime · no data selling