MCP Server Template for Cursor IDE

Instructions

Implementation Reference

• mcp_hitchcode/server.py:265-288 (handler)

  The handler function for the 'apply_prompt_fix' tool. It renders the 'fix_general' prompt template with the provided issue, specific_instructions, and version, then returns it as TextContent.

  async def apply_prompt_fix(
      issue: str,
      specific_instructions: str = "",
      version: str = "latest",
  ) -> list[types.TextContent]:
      """
      Provides a prompt for performing root cause analysis and fixing issues.
  
      Args:
          issue: A description of the issue to be analyzed and fixed.
          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 issue and specific instructions
      response_text = render_prompt_template(
          "fix_general",
          version_str=version,
          issue=issue,
          specific_instructions=specific_instructions,
      )
      return [types.TextContent(type="text", text=response_text)]

• mcp_hitchcode/server.py:439-452 (registration)

  Tool dispatching logic within the unified call_tool handler that invokes apply_prompt_fix with input validation for required 'issue' parameter.

  elif name == "apply_prompt_fix":
      if "issue" not in arguments:
          return [
              types.TextContent(
                  type="text", text="Error: Missing required argument 'issue'"
              )
          ]
      version = arguments.get("version", "latest")
      specific_instructions = arguments.get("specific_instructions", "")
      return await apply_prompt_fix(
          issue=arguments["issue"],
          specific_instructions=specific_instructions,
          version=version,
      )

• mcp_hitchcode/server.py:615-636 (schema)

  JSON schema definition for the input parameters of the 'apply_prompt_fix' tool, as registered in list_tools.

  types.Tool(
      name="apply_prompt_fix",
      description="Provides a prompt for performing root cause analysis and fixing issues",
      inputSchema={
          "type": "object",
          "required": ["issue"],
          "properties": {
              "issue": {
                  "type": "string",
                  "description": "A description of the issue to be analyzed and fixed",
              },
              "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')",
              },
          },
      },
  ),