Prompts

xmcp detects files under the /src/prompts/ directory and registers them as prompts. This path can be configured in the xmcp.config.ts file.

The prompt file should export three elements:

• Schema: The input parameters using Zod schemas.
• Metadata: The prompt's identity and behavior hints.
• Default: The prompt handler function.

import { z } from "zod";
import { type InferSchema, type PromptMetadata } from "xmcp";

// Define the schema for prompt parameters
export const schema = {
  code: z.string().describe("The code to review"),
};

// Define prompt metadata
export const metadata: PromptMetadata = {
  name: "review-code",
  title: "Review Code",
  description: "Review code for best practices and potential issues",
  role: "user",
};

// Prompt implementation
export default function reviewCode({ code }: InferSchema<typeof schema>) {
  return {
    type: "text",
    text: `Please review this code for:
      - Code quality and best practices
      - Potential bugs or security issues
      - Performance optimizations
      - Readability and maintainability

      Code to review:
      \`\`\`
      ${code}
      \`\`\``,
  };
}

If you're returning a string or number only, you can shortcut the return value to be the string or number directly.

export default function reviewCode({ code }: InferSchema<typeof schema>) {
  return `Please review this code for:
    - Code quality and best practices
    - Potential bugs or security issues
    - Performance optimizations
    - Readability and maintainability

    Code to review:
    \`\`\`
    ${code}
    \`\`\``;
  `;
}

References

Schema (optional)

The schema object defines the prompt's parameters with:

• Key: Parameter name.
• Value: Zod schema with .describe() for documentation and prompt inspection. This will be visible through the inspector.
• Purpose: Type validation and automatic parameter documentation.

This is the exact same as the schema object for tools.

Metadata (optional)

The metadata object provides:

• Name: Unique identifier for the prompt
• Title: Human-readable title for the prompt
• Description: Brief explanation of what the prompt does
• Role: The role of the prompt in the conversation. Can be either user or assistant.

Implementation (required)

The default export function that performs the actual work.

• Parameters: Automatically typed from your schema using the built-in InferSchema.
• Returns: MCP-compatible response with content type.
• Async: Supports async operations for API calls, file I/O, etc.