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.
@identimoji
Basic information
MCP server for connecting to Oxigraph
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-oxigraph": {
"command": "uv",
"args": [
"pip",
"install",
"mcp-server-oxigraph"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
It wraps PyOxigraph and exposes all its functionality through the MCP protocol, allowing any MCP client to use RDF and SPARQL capabilities.
Install via pip (`pip install mcp-server-oxigraph`) or UV (`uv pip install mcp-server-oxigraph`).
Yes. You can create a store in memory or file‑based, and open/close existing file‑based stores.
It uses the MCP protocol, configured via a command‑line invocation with `uv run oxigraph-mcp`. No additional transport details are provided.
Python environment with PyOxigraph (automatically installed as a dependency) and an MCP client such as Claude Desktop.

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