# SPOKEAgent

> Use this tool when you need to query and infer biomedical knowledge from a large knowledge graph, enabling entity resolution, schema introspection, and path finding. The SPOKEAgent takes in Cypher queries and returns relevant biomedical information, solving problems related to knowledge inference and data integration in the biomedical domain. It is ideal for use cases requiring safe and structured querying of complex biomedical data.

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

## Description

A structure-aware MCP server for querying the SPOKE biomedical knowledge graph, enabling entity resolution, schema introspection, path finding, and safe Cypher queries for biomedical knowledge inference.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y7q5za4dc6)
- **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-spokeagent"
    }
  }
}
```

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