Jena Connector MCP Server

Connects AI agents to Apache Jena for SPARQL query execution and RDF data manipulation.

Local serverstdioTypeScript 7

What is the Jena Connector MCP server?

Connect Jena Connector to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Connects AI agents to Apache Jena for SPARQL query execution and RDF data manipulation. The jena connector mcp server is what makes that connection.

What the server does

A Model Context Protocol (MCP) server that connects AI agents to Apache Jena for SPARQL query capabilities.

This project implements an MCP server that allows AI agents (such as Cursor, Claude for Cline, or Claude Desktop) to access and query RDF data stored in Apache Jena. The server provides tools for executing SPARQL queries and updates against a Jena Fuseki server.

  • Execute SPARQL queries against a Jena Fuseki server
  • Execute SPARQL updates to modify RDF data
  • List available named graphs in the dataset
  • HTTP Basic authentication support for Jena Fuseki
  • Compatible with the Model Context Protocol

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • exploration — Basic data discovery and statistics
  • property-paths — Complex graph navigation patterns
  • statistics — Knowledge graph metrics and analysis
  • validation — Data quality and consistency checks
  • schema — Structure discovery and documentation

Credentials and setup notes

Configuration is passed through the environment: JENA_FUSEKI_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Node.js (v16 or later) - Apache Jena Fuseki server running with your RDF data loaded - An AI agent that supports the Model Context Protocol (e.g., Cursor, Claude for Cline)

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Where it fits

Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Jena Connector's toolset — exploration, property-paths, statistics and 2 more — is a fair guide to whether it matches your workflow. It is maintained by ramuzes; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
explorationBasic data discovery and statistics
property-pathsComplex graph navigation patterns
statisticsKnowledge graph metrics and analysis
validationData quality and consistency checks
schemaStructure discovery and documentation

Configuration

  • Node.js (v16 or later) - Apache Jena Fuseki server running with your RDF data loaded - An AI agent that supports the Model Context Protocol (e.g., Cursor, Claude for Cline)
VariableDescriptionRequired
JENA_FUSEKI_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • Use Jena Connector to exploration.
  • Use Jena Connector to property-paths.
  • Use Jena Connector to statistics.

Frequently asked questions

Jena Connector is a tool that allows AI agents to interact with Apache Jena, enabling them to execute SPARQL queries and updates on RDF data.