Image & Vision · PyPI

mcp-neo4j-graphrag

A unified Neo4j MCP server for GraphRAG: vector search, fulltext search, search-augmented Cypher queries, write operations, and multimodal image retrieval

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Details

Author
Jean-Marc Guerin
GitHub profile
@guerinjeanmarc
Category
Image & Vision
Platform
PyPI
GitHub
https://github.com/guerinjeanmarc/mcp-neo4j-graphrag
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@guerinjeanmarc

Overview

A unified Neo4j MCP server for GraphRAG: vector search, fulltext search, search-augmented Cypher queries, write operations, and multimodal image retrieval

Quick start

pip

pip install mcp-neo4j-graphrag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What mcp-neo4j-graphrag can do

llmragembeddingretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is mcp-neo4j-graphrag?
A unified Neo4j MCP server for GraphRAG: vector search, fulltext search, search-augmented Cypher queries, write operations, and multimodal image retrieval
How do I install mcp-neo4j-graphrag?
Use pip: `pip install mcp-neo4j-graphrag`. Full setup details on the source page linked above.
Is mcp-neo4j-graphrag open source?
mcp-neo4j-graphrag is published on PyPI.
What are alternatives to mcp-neo4j-graphrag?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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