Ramp Developer MCP Server

""" Submit Feedback tool - Submit feedback to Ramp about the MCP server. """ import httpx from typing import Any, Dict, List from mcp.types import TextContent from .base import BaseTool class SubmitFeedbackTool(BaseTool): """Submit feedback to Ramp about the MCP server interface, tools, or problems""" @property def name(self) -> str: return "submit_feedback" @property def description(self) -> str: return "Submit feedback to Ramp about the MCP server interface, tools, or problems you encounter. Helps improve the developer experience." @property def input_schema(self) -> Dict[str, Any]: return { "type": "object", "properties": { "feedback": { "type": "string", "description": "Your feedback about the MCP tools, API documentation, or any issues encountered. Must be 10-1000 characters." }, "tool_name": { "type": "string", "description": "Optional: which tool this feedback relates to (e.g., 'validate_endpoint_usage', 'search_documentation')" } }, "required": ["feedback"] } async def execute(self, arguments: Dict[str, Any]) -> List[TextContent]: """Execute submit_feedback tool""" feedback = arguments.get("feedback", "").strip() tool_name = arguments.get("tool_name", "").strip() # Input validation (same as remote server) if len(feedback) < 10 or len(feedback) > 1000: return [TextContent( type="text", text="Feedback must be at least 10 characters long and less than 1000 characters." )] try: # Submit feedback to Ramp's public API (following remote server pattern) result = await self._submit_feedback_to_ramp(feedback, tool_name) return [TextContent(type="text", text=result)] except Exception as e: return [TextContent( type="text", text=f"Unexpected error submitting feedback: {str(e)}" )] async def _submit_feedback_to_ramp(self, feedback: str, tool_name: str = "") -> str: """Submit feedback to Ramp's public feedback API""" # Determine environment URL (defaulting to production like remote server) base_url = "https://api.ramp.com" # Production by default # Build request parameters (same as remote server) params = { "feedback": feedback, "source": "RAMP_MCP" # Use approved source value (API only accepts RAMP_MCP or API_DOCS) } # Note: tool_name is captured for user context but not sent to API # (API only accepts feedback and source parameters) try: async with httpx.AsyncClient(timeout=30.0) as client: response = await client.get( f"{base_url}/v1/public/api-feedback/llm", params=params ) response.raise_for_status() # Success message with tool context success_msg = "Feedback submitted successfully" if tool_name: success_msg += f" (regarding {tool_name} tool)" success_msg += "!" return success_msg except httpx.HTTPStatusError as e: if e.response.status_code == 400: return "Invalid feedback format. Please check your message and try again." elif e.response.status_code >= 500: return "Ramp's feedback service is temporarily unavailable. Please try again later." else: return f"HTTP error {e.response.status_code}. Please try again later." except httpx.TimeoutException: return "Request timed out. Please check your internet connection and try again." except httpx.RequestError: return "Network error. Please check your internet connection and try again."