Overview
What is Oxigraph MCP Server?
A Model Context Protocol (MCP) server that provides direct access to PyOxigraph functionality through the MCP protocol, enabling RDF and SPARQL capabilities from any MCP client.
How to use Oxigraph MCP Server?
Install with pip install mcp-server-oxigraph or uv pip install mcp-server-oxigraph. Configure Claude Desktop by adding a JSON entry with command uv run oxigraph-mcp and environment variable PYTHONUNBUFFERED=1. Then use tools like oxigraph_create_store, oxigraph_query, and oxigraph_add to work with RDF data.
Key features of Oxigraph MCP Server
- Store management: create, open, close, list RDF stores
- RDF Data Model: create nodes, literals, quads
- SPARQL operations: execute queries and updates
- Serialization: parse and serialize RDF in various formats
- Knowledge Graph API for demonstration purposes
Use cases of Oxigraph MCP Server
- Add RDF triples to a store and query them with SPARQL
- Manage multiple in‑memory or file‑based RDF stores
- Demonstrate higher‑level knowledge graph operations
- Integrate RDF data handling into MCP‑compatible assistants
FAQ from Oxigraph MCP Server
What does Oxigraph MCP Server do compared to using PyOxigraph directly?
It wraps PyOxigraph and exposes all its functionality through the MCP protocol, allowing any MCP client to use RDF and SPARQL capabilities.
How do I install Oxigraph MCP Server?
Install via pip (pip install mcp-server-oxigraph) or UV (uv pip install mcp-server-oxigraph).
Does Oxigraph MCP Server support file‑based stores?
Yes. You can create a store in memory or file‑based, and open/close existing file‑based stores.
What transport does Oxigraph MCP Server use?
It uses the MCP protocol, configured via a command‑line invocation with uv run oxigraph-mcp. No additional transport details are provided.
What are the dependencies/runtime requirements?
Python environment with PyOxigraph (automatically installed as a dependency) and an MCP client such as Claude Desktop.
