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chore: add more comments to MCPTooset and MCPSessionManager
PiperOrigin-RevId: 765448413
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@ -150,7 +150,8 @@ class MCPSessionManager:
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Args:
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connection_params: Parameters for the MCP connection (Stdio, SSE or
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Streamable HTTP).
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Streamable HTTP). Stdio by default also has a 5s read timeout as other
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parameters but it's not configurable for now.
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errlog: (Optional) TextIO stream for error logging. Use only for
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initializing a local stdio MCP session.
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"""
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@ -174,6 +175,9 @@ class MCPSessionManager:
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try:
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if isinstance(self._connection_params, StdioServerParameters):
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# So far timeout is not configurable. Given MCP is still evolving, we
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# would expect stdio_client to evolve to accept timeout parameter like
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# other client.
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client = stdio_client(
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server=self._connection_params, errlog=self._errlog
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)
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@ -211,6 +215,13 @@ class MCPSessionManager:
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if isinstance(self._connection_params, StdioServerParameters):
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# Default timeout for MCP session is 5 seconds, same as SseServerParams
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# and StreamableHTTPServerParams.
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# TODO :
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# 1. make timeout configurable
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# 2. Add StdioConnectionParams to include StdioServerParameters as a
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# field and rename other two params to XXXXConnetionParams. Ohter
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# two params are actually connection params, while stdio is
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# special, stdio_client takes the resposibility of starting the
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# server and working as a client.
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session = await self._exit_stack.enter_async_context(
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ClientSession(
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*transports[:2],
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@ -98,9 +98,9 @@ class MCPToolset(BaseToolset):
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`StdioServerParameters` for using local mcp server (e.g. using `npx` or
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`python3`); or `SseServerParams` for a local/remote SSE server; or
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`StreamableHTTPServerParams` for local/remote Streamable http server.
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tool_filter: Optional filter to select specific tools. Can be either: - A
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list of tool names to include - A ToolPredicate function for custom
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filtering logic
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tool_filter: Optional filter to select specific tools. Can be either:
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- A list of tool names to include
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- A ToolPredicate function for custom filtering logic
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errlog: TextIO stream for error logging.
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"""
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super().__init__(tool_filter=tool_filter)
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