# BrianKnows

> Use this tool when you need to access specialized knowledge or retrieve expert-level information on specific domains. It provides a bridge to the BrianKnows knowledge base API, enabling searches and interactions with an AI agent for information retrieval. Ideal for use cases requiring domain-specific answers or in-depth information on topics covered by the BrianKnows database.

Canonical page: https://skillsregistry.net/skills/antoncoding-brianknows  
JSON: https://api.skillsregistry.net/v1/skills/antoncoding-brianknows

## Description

This MCP server implementation provides a bridge to the BrianKnows knowledge base API, enabling AI assistants to perform searches and interact with an agent for information retrieval. Developed by antoncoding, it offers tools for querying the BrianKnows database and leveraging its AI agent capabilities. The server is designed for use cases requiring access to specialized knowledge, such as answering domain-specific questions or providing expert-level information on topics covered by the BrianKnows database.

## Trust

- **Trust score (0–1):** 0.91
- **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/antoncoding-brianknows)
- **Repository:** <https://github.com/antoncoding/mcp-brianknows>

## 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": "antoncoding-brianknows"
    }
  }
}
```

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