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Version: V4

Code editors and LLM setup

LLMs often rely on outdated or generic information. Use this guide to help set up your code editor to pull in more accurate, up-to-date documentation and examples. It will help provide better answers and generate more accurate Semaphore code using LLMs (large language models) and MCP (Model Context Protocol) servers.

Quick use​

llms.txt is a compact, text version of the Semaphore docs.

Add this link directly to your chat window for enhanced context.

Permanent setup​

Depending on your IDE, you can add custom docs to VS Code, Cursor or others.

Example for Cursor...

  1. Press CMD + Shift + P (unix), Ctrl + Shift + P (Windows)
  2. Type Add new custom docs.
  3. Add https://docs.semaphore.pse.dev/llms.txt
  4. In chat you can know @docs and choose semaphore to provide additional context.

Refer to the documentation of your IDE to properly set it up.

MCP Server​

Depending on your IDE, you can add a MCP server to communicate your docs to the AI model.

Example for Cursor...

  1. Press CMD + Shift + J (unix), Ctrl + Shift + J (Windows)
  2. Click on MCP on the sidebar
  3. Click Add new global MCP server
  4. Add the following code to mcp.json
{
  "mcpServers": {
    "Context7": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"]
    }
  }
}

You can now prompt anything about Semaphore and write use context7 at the end of your prompt. E.g. create a new Semaphore identity in TypeScript. use context. This will call the MCP tool and automatically fetch the latest documentation.

Refer to the documentation of your IDE to properly set it up.