# openclaw-brain

> Use this tool when you need to ingest and query domain-specific knowledge from semiconductor PDFs, or verify claims against original source text. It solves problems of knowledge management and design reasoning by creating a Neo4j knowledge graph that AI agents can interface with. The tool takes in PDF files as input and outputs a queryable knowledge graph, ideal for use cases where accurate and trustworthy domain knowledge is required.

Canonical page: https://skillsregistry.net/skills/xz0831-openclaw-brain  
JSON: https://api.skillsregistry.net/v1/skills/xz0831-openclaw-brain

## Description

An MCP server that ingests semiconductor PDFs into a Neo4j knowledge graph, enabling AI agents to query domain knowledge, verify claims against source text, and record design reasoning.

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ic2e9brs07)
- **Repository:** <https://github.com/xz0831/openclaw-brain>

## 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": "xz0831-openclaw-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xz0831-openclaw-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xz0831-openclaw-brain/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