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MCP Server Template for Cursor IDE

by jankowtf

apply_prompt_proceed

Generate structured prompts to continue tasks or projects in Cursor IDE by providing task descriptions and optional instructions.

Instructions

Provides a prompt template for proceeding with a task or project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesA description of the task or project to proceed with
specific_instructionsNoOptional specific instructions to include in the prompt
versionNoThe version of the prompt template to use (e.g., '1.0.0', '1.1.0', or 'latest')

Implementation Reference

  • The core handler function for the 'apply_prompt_proceed' tool. It renders a Jinja2 prompt template named 'proceed' using the input task, optional specific_instructions, and version, returning the rendered text as TextContent.
    async def apply_prompt_proceed(
        task: str,
        specific_instructions: str = "",
        version: str = "latest",
    ) -> list[types.TextContent]:
        """
        Provides a prompt template for proceeding with a task or project.
    
        Args:
            task: A description of the task or project to proceed with.
            specific_instructions: Optional specific instructions to include in the prompt.
            version: The version of the prompt template to use. Defaults to "latest".
    
        Returns:
            A list containing a TextContent object with the prompt.
        """
        # Render the prompt template with the task description and specific instructions
        response_text = render_prompt_template(
            "proceed",
            version_str=version,
            task=task,
            specific_instructions=specific_instructions,
        )
        return [types.TextContent(type="text", text=response_text)]
  • Tool registration in the list_tools() function, including the name, description, and inputSchema defining the tool's parameters.
    types.Tool(
        name="apply_prompt_proceed",
        description="Provides a prompt template for proceeding with a task or project",
        inputSchema={
            "type": "object",
            "required": ["task"],
            "properties": {
                "task": {
                    "type": "string",
                    "description": "A description of the task or project to proceed with",
                },
                "specific_instructions": {
                    "type": "string",
                    "description": "Optional specific instructions to include in the prompt",
                },
                "version": {
                    "type": "string",
                    "description": "The version of the prompt template to use (e.g., '1.0.0', '1.1.0', or 'latest')",
                },
            },
        },
    ),
  • Dispatch logic in the generic @app.call_tool() handler that validates inputs and calls the specific apply_prompt_proceed function.
    elif name == "apply_prompt_proceed":
        if "task" not in arguments:
            return [
                types.TextContent(
                    type="text", text="Error: Missing required argument 'task'"
                )
            ]
        version = arguments.get("version", "latest")
        specific_instructions = arguments.get("specific_instructions", "")
        return await apply_prompt_proceed(
            arguments["task"],
            specific_instructions=specific_instructions,
            version=version,
        )
  • Helper function used by the handler to load, resolve version, parse metadata, and render the specific Jinja2 prompt template (invoked with template_name='proceed').
    def render_prompt_template(
        template_name: str, version_str: str = "latest", **kwargs: Any
    ) -> str:
        """
        Render a prompt template with the given variables.
    
        Args:
            template_name: The name of the prompt template.
            version_str: The version of the template to use. Defaults to "latest".
            **kwargs: The variables to pass to the template.
    
        Returns:
            str: The rendered prompt template.
    
        Raises:
            FileNotFoundError: If the template file does not exist.
            jinja2.exceptions.TemplateError: If there is an error rendering the template.
            ValueError: If the specified version does not exist.
        """
        _build_version_registry()
    
        # Check if the template exists
        if template_name not in _version_registry:
            raise FileNotFoundError(f"Template not found: {template_name}")
    
        # Resolve the version
        if version_str == "latest":
            version_str = _version_registry[template_name].get("latest")
            if not version_str:
                raise ValueError(f"No versions found for template: {template_name}")
        elif version_str not in _version_registry[template_name]:
            # Try to find the closest version
            available_versions = get_template_versions(template_name)
            if not available_versions:
                raise ValueError(f"No versions found for template: {template_name}")
    
            # Find the highest version that is less than or equal to the requested version
            requested_ver = version.parse(version_str)
            for v in available_versions:
                if version.parse(v) <= requested_ver:
                    version_str = v
                    break
            else:
                # If no suitable version is found, use the oldest version
                version_str = available_versions[-1]
    
        # Get the filename from the registry
        filename = _version_registry[template_name][version_str]
    
        # Build the template path
        template_path = f"prompts/{template_name}/{filename}"
    
        # Load the template content
        content = load_template(template_path)
    
        # Parse the metadata and template content
        metadata, template_content = _parse_template_metadata(content)
    
        # Create a new template with just the content (without the front matter)
        env = get_template_env()
        template = env.from_string(template_content)
    
        # Render the template
        return template.render(**kwargs)

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