# mcp-ubergraph-query

> Use this tool when you need to query biomedical ontologies or traverse complex hierarchical data in the life sciences domain. It solves problems related to knowledge retrieval, entity disambiguation, and relationship exploration by providing custom SPARQL queries, term lookup, and search functionality. The tool accepts SPARQL queries or search terms as input and returns relevant results from the Ubergraph biomedical ontology.

Canonical page: https://skillsregistry.net/skills/twhetzel-mcp-ubergraph-query  
JSON: https://api.skillsregistry.net/v1/skills/twhetzel-mcp-ubergraph-query

## Description

Enables AI assistants to query the Ubergraph biomedical ontology SPARQL endpoint with tools for custom SPARQL queries, term lookup, search, and hierarchy traversal.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/msnukk82ut)
- **Repository:** <https://github.com/twhetzel/mcp-ubergraph-query>

## 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": "twhetzel-mcp-ubergraph-query"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/twhetzel-mcp-ubergraph-query` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/twhetzel-mcp-ubergraph-query/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