# RDF4J MCP Server

> Use this tool when you need to explore and query RDF data using SPARQL, and require AI-powered insights into knowledge graph resources. It solves problems related to data discovery, querying, and schema understanding, and accepts SPARQL queries as input, returning query results and schema summaries as output. Ideal for use cases involving semantic data analysis, knowledge graph exploration, and linked data applications.

Canonical page: https://skillsregistry.net/skills/odysa-rdf4j-mcp  
JSON: https://api.skillsregistry.net/v1/skills/odysa-rdf4j-mcp

## Description

An MCP server that enables AI-powered exploration of RDF data and SPARQL querying via RDF4J. It provides tools for executing queries, searching knowledge graph resources, and retrieving schema summaries.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/omwszih374)
- **Repository:** <https://github.com/odysa/rdf4j-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "odysa-rdf4j-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/odysa-rdf4j-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/odysa-rdf4j-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
