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Add MCPClient docstrings. Removed google specific cleanup, changed example to openai

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This commit is contained in:
Mark Backman
2025-06-25 17:51:42 -04:00
committed by Yousif Astarabadi
parent 1cac028bfe
commit f0bcc9d9ba
2 changed files with 71 additions and 33 deletions
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6
examples/foundational/39c-mcp-run-http.py
View File

@@ -63,6 +63,10 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
)
try:
# Github MCP docs: https://github.com/github/github-mcp-server
# Enable Github Copilot on your GitHub account. Free tier is ok. (https://github.com/settings/copilot)
# Generate a personal access token. It must be a Fine-grained token, classic tokens are not supported. (https://github.com/settings/personal-access-tokens)
# Set permissions you want to use (eg. "all repositories", "profile: read/write", etc)
mcp = MCPClient(
server_params=StreamableHttpParameters(
url="https://api.githubcopilot.com/mcp/",
@@ -128,4 +132,4 @@ async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_si
if __name__ == "__main__":
from pipecat.examples.run import main
main(run_example, transport_params=transport_params)
main(run_example, transport_params=transport_params)

98
src/pipecat/services/mcp_service.py
View File

@@ -1,5 +1,13 @@
#
# Copyright (c) 2024–2025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
"""MCP (Model Context Protocol) client for integrating external tools with LLMs."""
import json
from typing import Any, Dict, List, Optional, Union
from typing import Any, Dict, List, Tuple
from loguru import logger
@@ -10,6 +18,7 @@ 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.sse import sse_client
from mcp.client.stdio import stdio_client
from mcp.client.streamable_http import streamablehttp_client
@@ -20,15 +29,29 @@ except ModuleNotFoundError as e:
class MCPClient(BaseObject):
"""Client for Model Context Protocol (MCP) servers.
Enables integration with MCP servers to provide external tools and resources
to LLMs. Supports both stdio and SSE server connections with automatic tool
registration and schema conversion.
Args:
server_params: Server connection parameters (stdio or SSE).
**kwargs: Additional arguments passed to the parent BaseObject.
Raises:
TypeError: If server_params is not a supported parameter type.
"""
def __init__(
self,
server_params: Union[StdioServerParameters, SseServerParameters, StreamableHttpParameters],
server_params: Tuple[StdioServerParameters, SseServerParameters, StreamableHttpParameters],
**kwargs,
):
super().__init__(**kwargs)
self._server_params = server_params
self._session = ClientSession
if isinstance(server_params, StdioServerParameters):
self._client = stdio_client
self._register_tools = self._stdio_register_tools
@@ -44,20 +67,32 @@ class MCPClient(BaseObject):
)
async def register_tools(self, llm) -> ToolsSchema:
"""Register all available MCP tools with an LLM service.
Connects to the MCP server, discovers available tools, converts their
schemas to Pipecat format, and registers them with the LLM service.
Args:
llm: The Pipecat LLM service to register tools with.
Returns:
A ToolsSchema containing all successfully registered tools.
"""
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:
"""Convert an mcp tool schema to Pipecat's FunctionSchema format.
Args:
tool_name: The name of the tool
tool_schema: The mcp tool schema
Returns:
A FunctionSchema instance
"""
logger.debug(f"Converting schema for tool '{tool_name}'")
logger.trace(f"Original schema: {json.dumps(tool_schema, indent=2)}")
@@ -76,7 +111,8 @@ class MCPClient(BaseObject):
return schema
async def _sse_register_tools(self, llm) -> ToolsSchema:
"""Register all available mcp.run tools with the LLM service.
"""Register all available mcp tools with the LLM service.
Args:
llm: The Pipecat LLM service to register tools with
Returns:
@@ -91,15 +127,12 @@ class MCPClient(BaseObject):
context: any,
result_callback: any,
) -> None:
"""Wrapper for mcp.run tool calls to match Pipecat's function call interface."""
"""Wrapper for mcp tool calls to match Pipecat's function call interface."""
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(
url=self._server_params.url,
headers=self._server_params.headers,
timeout=self._server_params.timeout,
sse_read_timeout=self._server_params.sse_read_timeout,
**self._server_params.model_dump()
) as (read, write):
async with self._session(read, write) as session:
await session.initialize()
@@ -111,12 +144,10 @@ class MCPClient(BaseObject):
await result_callback(error_msg)
logger.debug(f"SSE server parameters: {self._server_params}")
logger.debug("Starting registration of mcp tools")
async with self._client(
url=self._server_params.url,
headers=self._server_params.headers,
timeout=self._server_params.timeout,
sse_read_timeout=self._server_params.sse_read_timeout,
**self._server_params.model_dump()
) as (read, write):
async with self._session(read, write) as session:
await session.initialize()
@@ -124,7 +155,8 @@ class MCPClient(BaseObject):
return tools_schema
async def _stdio_register_tools(self, llm) -> ToolsSchema:
"""Register all available mcp.run tools with the LLM service.
"""Register all available mcp tools with the LLM service.
Args:
llm: The Pipecat LLM service to register tools with
Returns:
@@ -139,7 +171,7 @@ class MCPClient(BaseObject):
context: any,
result_callback: any,
) -> None:
"""Wrapper for mcp.run tool calls to match Pipecat's function call interface."""
"""Wrapper for mcp tool calls to match Pipecat's function call interface."""
logger.debug(f"Executing tool '{function_name}' with call ID: {tool_call_id}")
logger.trace(f"Tool arguments: {json.dumps(arguments, indent=2)}")
try:
@@ -153,7 +185,7 @@ class MCPClient(BaseObject):
logger.exception("Full exception details:")
await result_callback(error_msg)
logger.debug("Starting registration of mcp.run tools")
logger.debug("Starting registration of mcp tools")
async with self._client(self._server_params) as streams:
async with self._session(streams[0], streams[1]) as session:
@@ -162,7 +194,7 @@ class MCPClient(BaseObject):
return tools_schema
async def _streamable_http_register_tools(self, llm) -> ToolsSchema:
"""Register all available mcp.run tools with the LLM service using streamable HTTP.
"""Register all available mcp tools with the LLM service using streamable HTTP.
Args:
llm: The Pipecat LLM service to register tools with
Returns:
@@ -177,16 +209,17 @@ class MCPClient(BaseObject):
context: any,
result_callback: any,
) -> None:
"""Wrapper for mcp.run tool calls to match Pipecat's function call interface."""
"""Wrapper for mcp tool calls to match Pipecat's function call interface."""
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(
url=self._server_params.url,
headers=self._server_params.headers,
timeout=self._server_params.timeout,
sse_read_timeout=self._server_params.sse_read_timeout,
) as (read_stream, write_stream, _):
**self._server_params.model_dump()
) as (
read_stream,
write_stream,
_,
):
async with self._session(read_stream, write_stream) as session:
await session.initialize()
await self._call_tool(session, function_name, arguments, result_callback)
@@ -196,14 +229,15 @@ class MCPClient(BaseObject):
logger.exception("Full exception details:")
await result_callback(error_msg)
logger.debug("Starting registration of mcp.run tools using streamable HTTP")
logger.debug("Starting registration of mcp tools using streamable HTTP")
async with self._client(
url=self._server_params.url,
headers=self._server_params.headers,
timeout=self._server_params.timeout,
sse_read_timeout=self._server_params.sse_read_timeout,
) as (read_stream, write_stream, _):
**self._server_params.model_dump()
) as (
read_stream,
write_stream,
_,
):
async with self._session(read_stream, write_stream) as session:
await session.initialize()
tools_schema = await self._list_tools(session, mcp_tool_wrapper, llm)
@@ -253,7 +287,7 @@ class MCPClient(BaseObject):
# Convert the schema
function_schema = self._convert_mcp_schema_to_pipecat(
tool_name,
{"description": tool.description, "input_schema": tool.inputSchema},
{"description": tool.description, "input_schema": tool.inputSchema}
)
# Register the wrapped function
@@ -272,4 +306,4 @@ class MCPClient(BaseObject):
logger.debug(f"Completed registration of {len(tool_schemas)} tools")
tools_schema = ToolsSchema(standard_tools=tool_schemas)
return tools_schema
return tools_schema