[project]
name = "mcp-neo4j-graphrag"
version = "0.3.0"
description = "A unified Neo4j MCP server for GraphRAG: vector search, fulltext search, and search-augmented Cypher queries"
readme = "README.md"
license = {text = "MIT"}
authors = [
{name = "Jean-Marc Guerin"}
]
keywords = ["neo4j", "graphrag", "mcp", "vector-search", "knowledge-graph", "llm", "rag", "embeddings"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Database",
]
requires-python = ">=3.10"
dependencies = [
"fastmcp>=2.10.5",
"neo4j>=5.26.0",
"pydantic>=2.10.1",
"tiktoken>=0.11.0",
"litellm>=1.50.0",
]
[project.urls]
Homepage = "https://github.com/guerinjeanmarc/mcp-neo4j-graphrag"
Repository = "https://github.com/guerinjeanmarc/mcp-neo4j-graphrag"
Issues = "https://github.com/guerinjeanmarc/mcp-neo4j-graphrag/issues"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = [
"pyright>=1.1.389",
"pytest>=7.0.0",
"pytest-asyncio>=0.20.3",
"ruff>=0.11.5",
]
[project.scripts]
mcp-neo4j-graphrag = "mcp_neo4j_graphrag:main"
