Chlorpromazine FAQs

Question 1

What is Chlorpromazine and what problem does it solve?

Accepted Answer

Chlorpromazine is a Model Context Protocol (MCP) server designed to ground AI agents in factual project reality and official documentation. It prevents hallucinations and 'bad trips' during development sessions, especially for developers who engage in 'vibe coding' with LLMs.

Question 2

How does Chlorpromazine ensure AI agents provide accurate information?

Accepted Answer

It leverages MCP-compliant prompts like `sober_thinking` to read current project files (.env, README.md, CHANGELOG) for context. Additionally, `fact_checked_answer` utilizes SerpAPI to verify agent responses against official documentation, ensuring factual accuracy.

Question 3

What security features are included in Chlorpromazine?

Accepted Answer

Chlorpromazine is built with robust security, featuring input sanitization, rate limiting, timeout protection for API calls, secrets masking, and path validation. Its modular, MCP-compliant architecture further enhances its security posture.

Question 4

Can Chlorpromazine integrate with existing development workflows?

Accepted Answer

Yes, as an MCP server, it implements the Model Context Protocol using JSON-RPC 2.0 over HTTP, making it compatible with any MCP client. It's designed for deployment on platforms like Smithery.ai and uses standard Node.js and .env configuration.

Chlorpromazine

Chlorpromazine

Key Features

Use Cases

Key Features

Use Cases