# brainkb_mcp

> brainkb_mcp — sensein-brainkb-mcp. Use this tool when you need to access and query a vast neuroscience knowledge graph, solving problems related to brain function, neuroanatomy, and neurological disorders. It provides an interface for querying and retrieving relevant information, accepting specific queries as input and returning corresponding knowledge graph data as output. Ideal for use cases requiring in-depth neuroscience knowledge, such as research, education, or clinical applications.

Canonical page: https://skillsregistry.net/skills/sensein-brainkb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sensein-brainkb-mcp

## Description

MCP server for accessing and querying BrainKB’s neuroscience knowledge graph.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/sensein/brainkb_mcp)

## 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": "sensein-brainkb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sensein-brainkb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sensein-brainkb-mcp/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