mcp_service: lint

examples/foundational/39c-mcp-run-http.py

@@ -16,10 +16,10 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
-from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.mcp_service import MCPClient
+from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
 from pipecat.transports.services.daily import DailyParams
@@ -58,9 +58,7 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
         voice_id="71a7ad14-091c-4e8e-a314-022ece01c121",  # British Reading Lady
     )
 
-    llm = OpenAILLMService(
+    llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini")
-        api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini"
-    )
 
     try:
         # Github MCP docs: https://github.com/github/github-mcp-server

src/pipecat/services/mcp_service.py

@@ -17,8 +17,8 @@ from pipecat.utils.base_object import BaseObject
 
 try:
     from mcp import ClientSession, StdioServerParameters
-    from mcp.client.session_group import SseServerParameters, StreamableHttpParameters
     from mcp.client.session import ClientSession
+    from mcp.client.session_group import SseServerParameters, StreamableHttpParameters
     from mcp.client.sse import sse_client
     from mcp.client.stdio import stdio_client
     from mcp.client.streamable_http import streamablehttp_client
@@ -81,7 +81,6 @@ class MCPClient(BaseObject):
         tools_schema = await self._register_tools(llm)
         return tools_schema
 
-
     def _convert_mcp_schema_to_pipecat(
         self, tool_name: str, tool_schema: Dict[str, Any]
     ) -> FunctionSchema:
@@ -131,9 +130,7 @@ class MCPClient(BaseObject):
             logger.debug(f"Executing tool '{function_name}' with call ID: {tool_call_id}")
             logger.trace(f"Tool arguments: {json.dumps(arguments, indent=2)}")
             try:
-                async with self._client(
+                async with self._client(**self._server_params.model_dump()) as (read, write):
-                    **self._server_params.model_dump()
-                ) as (read, write):
                     async with self._session(read, write) as session:
                         await session.initialize()
                         await self._call_tool(session, function_name, arguments, result_callback)
@@ -146,9 +143,7 @@ class MCPClient(BaseObject):
         logger.debug(f"SSE server parameters: {self._server_params}")
         logger.debug("Starting registration of mcp tools")
 
-        async with self._client(
+        async with self._client(**self._server_params.model_dump()) as (read, write):
-            **self._server_params.model_dump()
-        ) as (read, write):
             async with self._session(read, write) as session:
                 await session.initialize()
                 tools_schema = await self._list_tools(session, mcp_tool_wrapper, llm)
@@ -213,9 +208,7 @@ class MCPClient(BaseObject):
             logger.debug(f"Executing tool '{function_name}' with call ID: {tool_call_id}")
             logger.trace(f"Tool arguments: {json.dumps(arguments, indent=2)}")
             try:
-                async with self._client(
+                async with self._client(**self._server_params.model_dump()) as (
-                    **self._server_params.model_dump()
-                ) as (
                     read_stream,
                     write_stream,
                     _,
@@ -231,9 +224,7 @@ class MCPClient(BaseObject):
 
         logger.debug("Starting registration of mcp tools using streamable HTTP")
 
-        async with self._client(
+        async with self._client(**self._server_params.model_dump()) as (
-            **self._server_params.model_dump()
-        ) as (
             read_stream,
             write_stream,
             _,
@@ -286,8 +277,7 @@ class MCPClient(BaseObject):
             try:
                 # Convert the schema
                 function_schema = self._convert_mcp_schema_to_pipecat(
-                    tool_name,
+                    tool_name, {"description": tool.description, "input_schema": tool.inputSchema}
-                    {"description": tool.description, "input_schema": tool.inputSchema}
                 )
 
                 # Register the wrapped function