diff --git a/pyproject.toml b/pyproject.toml index a913dd4..ae92cb8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "openai-websearch-mcp" -version = "0.4.0" +version = "0.4.1" description = "using openai websearch as mcp server" readme = "README.md" requires-python = ">=3.10" @@ -10,12 +10,14 @@ dependencies = [ "mcp==1.3.0", "tzdata==2025.1", "openai==1.66.2", - "typer==0.15.2" + "typer==0.15.2", + "httmcp==0.1.4", ] [project.scripts] openai-websearch-mcp = "openai_websearch_mcp:main" +openai-websearch-mcp-runner = "openai_websearch_mcp:runner" openai-websearch-mcp-install = "openai_websearch_mcp.cli:app" @@ -30,5 +32,6 @@ dev-dependencies = [ "mcp==1.3.0", "tzdata==2025.1", "openai==1.66.2", - "typer==0.15.2" + "typer==0.15.2", + "httmcp==0.1.4", ] diff --git a/src/openai_websearch_mcp/__init__.py b/src/openai_websearch_mcp/__init__.py index 343f0e2..8d24eba 100644 --- a/src/openai_websearch_mcp/__init__.py +++ b/src/openai_websearch_mcp/__init__.py @@ -5,5 +5,63 @@ def main(): mcp.run() +def runner(): + import sys, json, traceback + from starlette.testclient import TestClient + from fastapi import FastAPI + app = FastAPI() + app.include_router(mcp.router) + + try: + # create a test client + client = TestClient(app) + + print("MCP Server started, waiting for requests from stdin...", file=sys.stderr) + + # Handle requests until EOF + while True: + try: + line = sys.stdin.readline() + if not line: # EOF + break + + # Check if the input is valid JSON + try: + request_data = json.loads(line) + except json.JSONDecodeError as e: + print(f"Error: Invalid JSON input: {str(e)}", file=sys.stderr) + continue + + print(f"Received request: {request_data}", file=sys.stderr) + # Construct the path + jsonrpc_method = request_data.get("method") + path = f"mcp/{mcp.name}/{jsonrpc_method}" + + # Send the request to the ASGI application + try: + response = client.post(path, json=request_data) + response_data = response.json() + + # Send the response back to the client + print(json.dumps(response_data, ensure_ascii=False)) + sys.stdout.flush() + except Exception as e: + # Send the error message to stderr + print(f"Error processing request: {str(e)}", file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + sys.stderr.flush() + + except Exception as e: + # Send the error message to stderr + print(f"Unexpected error: {str(e)}", file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + sys.stderr.flush() + except Exception as e: + # Startup error + print(f"Startup error: {str(e)}", file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + sys.exit(1) + + if __name__ == "__main__": main() diff --git a/src/openai_websearch_mcp/__main__.py b/src/openai_websearch_mcp/__main__.py deleted file mode 100644 index b49686e..0000000 --- a/src/openai_websearch_mcp/__main__.py +++ /dev/null @@ -1,3 +0,0 @@ -from openai_websearch_mcp import main - -main() diff --git a/src/openai_websearch_mcp/server.py b/src/openai_websearch_mcp/server.py index eaa6d3f..4e8e095 100644 --- a/src/openai_websearch_mcp/server.py +++ b/src/openai_websearch_mcp/server.py @@ -1,12 +1,12 @@ from pydantic import BaseModel from typing import Literal -from mcp.server.fastmcp import FastMCP +from httmcp import HTTMCP from openai import OpenAI from pydantic_extra_types.timezone_name import TimeZoneName from pydantic import BaseModel -mcp = FastMCP( - name="OpenAI Web Search", +mcp = HTTMCP( + name="openai_web_search", instructions="This MCP server provides access to OpenAI's websearch functionality through the Model Context Protocol." ) diff --git a/uv.lock b/uv.lock index 0add4f4..8615aa9 100644 --- a/uv.lock +++ b/uv.lock @@ -73,6 +73,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/02/cc/b7e31358aac6ed1ef2bb790a9746ac2c69bcb3c8588b41616914eb106eaf/exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b", size = 16453 }, ] 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