REPOGEO REPORT · LITE
neo4j-contrib/mcp-neo4j
Default branch main · commit dbc01ba7 · scanned 6/14/2026, 12:46:41 PM
GitHub: 961 stars · 251 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface neo4j-contrib/mcp-neo4j, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highabout#1Update Repository Description for Clarity
Why:
CURRENTNeo4j Labs Model Context Protocol servers
COPY-PASTE FIXNeo4j Labs servers implementing the Model Context Protocol (MCP) for LLM-graph database interaction.
- highreadme#2Reposition README H1 to Specify LLM-Graph Purpose
Why:
CURRENT# Neo4j Labs MCP Servers
COPY-PASTE FIX# Neo4j Labs Model Context Protocol (MCP) Servers for LLM-Graph Interaction
- mediumtopics#3Enhance Topics for LLM-Graph Integration
Why:
CURRENTdatabase, mcp, mcp-server, neo4j, stdio
COPY-PASTE FIXdatabase, mcp, mcp-server, neo4j, stdio, llm, large-language-models, graph-ai, ai-integration, context-management, genai
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- LangChain · recommended 1×
- LlamaIndex · recommended 1×
- Neo4j AuraDS · recommended 1×
- Neo4j Graph Data Science Library (GDS) · recommended 1×
- GraphRAG · recommended 1×
- CATEGORY QUERYWhat tools allow large language models to interact with graph data?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Neo4j AuraDS
- Neo4j Graph Data Science Library (GDS)
- GraphRAG
- Amazon Neptune ML
- ArangoDB Oasis
- ArangoDB
- DGL (Deep Graph Library)
- PyTorch Geometric (PyG)
AI recommended 10 alternatives but never named neo4j-contrib/mcp-neo4j. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a protocol for AI assistant integration with graph database context management.you: not recommendedAI recommended (in order):
- OpenCypher
- Gremlin
- Neo4j
- Memgraph
- Cypher for Apache TinkerPop
- Apache TinkerPop
- Amazon Neptune
- DataStax Astra DB Graph
- Bolt
- WebSocket
- FastAPI
- Node.js Express
- Spring Boot
- GraphQL
- Apollo Server
- Hasura
- Neo4j GraphQL Library
- RESTful API
- RDF
- SPARQL
- Apache Jena
- Virtuoso
- Stardog
- Neo4j Driver
- Apache TinkerPop Gremlin-Python
- Gremlin-Java
AI recommended 26 alternatives but never named neo4j-contrib/mcp-neo4j. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of neo4j-contrib/mcp-neo4j?passAI named neo4j-contrib/mcp-neo4j explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts neo4j-contrib/mcp-neo4j in production, what risks or prerequisites should they evaluate first?passAI named neo4j-contrib/mcp-neo4j explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo neo4j-contrib/mcp-neo4j solve, and who is the primary audience?passAI named neo4j-contrib/mcp-neo4j explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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[](https://repogeo.com/en/r/neo4j-contrib/mcp-neo4j)<a href="https://repogeo.com/en/r/neo4j-contrib/mcp-neo4j"><img src="https://repogeo.com/badge/neo4j-contrib/mcp-neo4j.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
neo4j-contrib/mcp-neo4j — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite