# RDF Explorer

> Use this tool when you need to explore and analyze RDF-based Knowledge Graphs through a conversational interface, solving problems in knowledge graph research, semantic web exploration, and AI data preparation workflows. It provides inputs for SPARQL queries, full-text search, and graph statistics, and outputs include schema exploration, relationship discovery, and graph visualization. Ideal for use cases where structured graph data needs to be queried conversationally, supporting both local RDF files and external SPARQL endpoints.

Canonical page: https://skillsregistry.net/skills/emekaokoye-rdf-explorer  
JSON: https://api.skillsregistry.net/v1/skills/emekaokoye-rdf-explorer

## Description

RDF Explorer is an MCP server that provides a conversational interface for exploring and analyzing RDF-based Knowledge Graphs in either Local File mode or SPARQL Endpoint mode. Developed by Emeka Azuka Okoye, it facilitates communication between AI applications and RDF data through SPARQL queries, full-text search, and graph statistics tools. The server supports both local RDF files and external SPARQL endpoints, offering features like schema exploration, relationship discovery, and graph visualization. Particularly useful for knowledge graph research, semantic web exploration, and AI data preparation workflows where structured graph data needs to be queried conversationally.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

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

## 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": "emekaokoye-rdf-explorer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emekaokoye-rdf-explorer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emekaokoye-rdf-explorer/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