MCP Server Template for Cursor IDE

Instructions

Implementation Reference

• mcp_hitchcode/server.py:187-210 (handler)

  The core handler function that executes the tool logic by rendering the 'init' prompt template and returning it as TextContent.
  async def apply_prompt_initial( objective: str, specific_instructions: str = "", version: str = "latest", ) -> list[types.TextContent]: """ Provides an initial prompt template for starting a new coding objective. Args: objective: A description of the overall objective. 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 objective and specific instructions response_text = render_prompt_template( "init", version_str=version, objective=objective, specific_instructions=specific_instructions, ) return [types.TextContent(type="text", text=response_text)]
• mcp_hitchcode/server.py:637-658 (schema)

  The input schema definition for the apply_prompt_initial tool registered in list_tools().
  types.Tool( name="apply_prompt_initial", description="Provides an initial prompt template for starting a new project", inputSchema={ "type": "object", "required": ["objective"], "properties": { "objective": { "type": "string", "description": "A description of the objective of the project", }, "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')", }, }, }, ),
• mcp_hitchcode/server.py:453-466 (registration)

  The registration and dispatch logic in the call_tool handler that invokes apply_prompt_initial upon matching the tool name.
  elif name == "apply_prompt_initial": if "objective" not in arguments: return [ types.TextContent( type="text", text="Error: Missing required argument 'objective'" ) ] version = arguments.get("version", "latest") specific_instructions = arguments.get("specific_instructions", "") return await apply_prompt_initial( objective=arguments["objective"], specific_instructions=specific_instructions, version=version, )
• mcp_hitchcode/templates/template_loader.py:278-342 (helper)

  Supporting utility function called by the handler to dynamically load and render the versioned 'init' prompt template using Jinja2.
  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)