# MCP SPARQL Server

> Use this tool when you need to query and retrieve semantic data from various sources, solving problems related to data integration and knowledge graph exploration. It provides a flexible interface for AI agents to input SPARQL queries and receive outputs in multiple formats, such as JSON, XML, and CSV. Ideal for use cases requiring efficient data retrieval and caching from SPARQL endpoints.

Canonical page: https://skillsregistry.net/skills/yet-market-yet-sparql-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/yet-market-yet-sparql-mcp-server

## Description

Enables AI assistants to query semantic data via SPARQL endpoints, with support for multiple output formats and caching.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ux7wlh570g)
- **Repository:** <https://github.com/yet-market/yet-sparql-mcp-server>

## 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": "yet-market-yet-sparql-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yet-market-yet-sparql-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yet-market-yet-sparql-mcp-server/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