# SPARQL

> Use this tool when you need to interact with RDF data sources and perform semantic web queries. It solves problems related to knowledge graph exploration, linked data analysis, and ontology-based information retrieval by providing a bridge to query SPARQL servers. The tool takes SPARQL queries as input and returns RDF data as output, making it ideal for use cases requiring integration with semantic web data sources.

Canonical page: https://skillsregistry.net/skills/kludgeworks-sparql  
JSON: https://api.skillsregistry.net/v1/skills/kludgeworks-sparql

## Description

This MCP server implementation provides a bridge to query SPARQL servers, enabling AI assistants to interact with RDF data sources. Developed by Kludge Works, it integrates Spring Boot, Spring AI, and Apache Jena to facilitate SPARQL queries and RDF data manipulation. The server is designed for use cases requiring semantic web integration, such as knowledge graph exploration, linked data analysis, or ontology-based information retrieval.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kludgeworks-sparql)
- **Repository:** <https://github.com/kludgeworks/mcp-server-rdf>

## 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": "kludgeworks-sparql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kludgeworks-sparql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kludgeworks-sparql/pull`

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