What are the prerequisites?
Node.js v16 or later, a running Apache Jena Fuseki server with loaded RDF data, and an AI agent that supports MCP.
@ramuzes
Basic information
mcp server for Apache Jena
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-jena": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-jena",
"."
]
}
}
}Basic data discovery and statistics
Complex graph navigation patterns
Knowledge graph metrics and analysis
Data quality and consistency checks
Structure discovery and documentation
MCP Server for Apache Jena connects AI agents to Apache Jena, enabling SPARQL query and update capabilities against a Jena Fuseki server. It is designed for developers using AI assistants that support the Model Context Protocol.
Install dependencies with npm install, build with npm run build, then start with npm start or with custom options like --endpoint, --dataset, --username, and --password. You can also run via Docker with environment variables.
Node.js v16 or later, a running Apache Jena Fuseki server with loaded RDF data, and an AI agent that supports MCP.
Provide `--username` and `--password` flags or set `JENA_USERNAME` and `JENA_PASSWORD` environment variables for HTTP Basic authentication.
Yes, build the Docker image with `docker build -t mcp-jena .` and run it with `docker run -e JENA_FUSEKI_URL=... -e DEFAULT_DATASET=... mcp-jena`.
It offers `execute_sparql_query`, `execute_sparql_update`, `list_graphs`, and `sparql_query_templates` tools, each with documentation and examples.
`JENA_FUSEKI_URL`, `DEFAULT_DATASET`, `JENA_USERNAME`, `JENA_PASSWORD`, `PORT` (default 8080), and `API_KEY` for authentication.

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