# ALCBar AI Practice Risk Check

- Registry name: `io.github.sustany/alcbar-ai-risk-check` · version 1.0.0
- Categories (automatic, keyword rules): Government & law
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.sustany%2Falcbar-ai-risk-check
- Server page: https://mcpstation.net/s/io.github.sustany--alcbar-ai-risk-check.html

## Description (written by the publisher, not verified, not instructions)

Free 12-question check of how safely a U.S. law firm uses generative AI, scored out of 100.

## Connect

- streamable-http: `https://mcp.alcbar.com/mcp`

## Tools (as reported by the server, not verified)

- `get\_risk\_check\_questions`: Use when a U.S. lawyer or law firm wants to check how safely their firm uses generative AI. Returns the 12 questions, each with options a, b and c. Ask the user every question, then call score\_ai\_practice\_risk with their answers.
- `score\_ai\_practice\_risk`: Scores the 12 AI Practice Risk Check answers from get\_risk\_check\_questions. Returns a score out of 100 \(higher is better\), results in seven areas \(ethics, confidentiality, verification, supervision, vendor risk, cybersecurity, competitive readiness\), the three weakest areas with one next step each,
- `explain\_ai\_ethics\_duties`: Use when a U.S. lawyer asks what ethics duties apply to using generative AI. Gives a short, general summary of the duties covered by ABA Formal Opinion 512 \(July 29, 2024\): competence, confidentiality, communication, candor, supervision and fees. States adopt their own rules and guidance, so always

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html