Flexible GraphRAG: Python, LlamaIndex, Docker Compose 8 Graph databases, 10 Vector databases, OpenSearch, Elasticsearch, Alfresco. 13 data sources, knowledge graph auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, MCP Server. Please 🌟 Star
Flexible GraphRAG: Python, LlamaIndex, Docker Compose 8 Graph databases, 10 Vector databases, OpenSearch, Elasticsearch, Alfresco. 13 data sources, knowledge graph auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, MCP Server. Please 🌟 Star
pip install flexible-graphragAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"stevereiner-flexible-graphrag-github": {
"command": "uvx",
"args": [
"pip install flexible-graphrag"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from flexible graphrag?"
API Key Required
This server requires an API key from flexible graphrag. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| FLEXIBLE_GRAPHRAG_API_KEY | Yes | Your flexible graphrag API key |
"What resources are available in flexible graphrag?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in flexible graphrag"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in flexible graphrag with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.