# SPOKE

> Use this tool when you need to explore biomedical connections and retrieve data from a large-scale knowledge graph for precision medicine research. It solves problems related to understanding complex relationships between genes, proteins, diseases, and other biological entities by executing read-only Cypher queries against the SPOKE Neo4j database. It takes Cypher queries as input and returns graph schema and query results as output, making it ideal for researchers seeking to uncover new insights in biomedical research.

Canonical page: https://skillsregistry.net/skills/baranzinilab-spoke  
JSON: https://api.skillsregistry.net/v1/skills/baranzinilab-spoke

## Description

Connects to the Scalable Precision Medicine Open Knowledge Engine (SPOKE), a large-scale biomedical knowledge graph maintained by BaranziniLab at UCSF. Enables executing read-only Cypher queries against the SPOKE Neo4j database and retrieving the complete graph schema including node types, properties, and relationships. Supports exploration of biomedical connections spanning genes, proteins, diseases, compounds, and other biological entities for precision medicine research.

## 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:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/baranzinilab-spoke)
- **Repository:** <https://github.com/baranzinilab/spokeagent>

## 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": "baranzinilab-spoke"
    }
  }
}
```

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