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Merge https://github.com/google/adk-python/pull/3411
## Summary
Fixes AgentTool cleanup to prevent MCP session errors by calling `runner.close()` after sub-agent execution.
## Problem
When using AgentTool with MCP tools, the runner cleanup happened during garbage collection in a different async task context, causing:
```
RuntimeError: Attempted to exit cancel scope in a different task than it was entered in
```
## Solution
- Call `await runner.close()` immediately after sub-agent execution in AgentTool
- This ensures MCP sessions and other resources are cleaned up in the correct async task context
- Updated test mock to include the close() method
## Demo Agents
Added two comprehensive demo agents showing how to use AgentTool with MCP tools:
### mcp_in_agent_tool_remote (SSE mode)
- Uses HTTP/SSE connection to remote MCP server
- Zero-installation setup with `uvx`
- Demonstrates server-side MCP deployment pattern
### mcp_in_agent_tool_stdio (stdio mode)
- Uses subprocess connection with automatic server launch
- Fully automatic setup with `uvx` subdirectory syntax
- Demonstrates embedded MCP deployment pattern
Both demos:
- Use Gemini 2.5 Flash
- Include example prompts for JSON Schema exploration
- Have comprehensive READMEs with architecture diagrams
- Follow ADK agent structure conventions
## Testing
- ✅ All existing unit tests pass
- ✅ Manual testing with both SSE and stdio modes
- ✅ Verified cleanup happens in correct async context
- ✅ No more cancel scope errors with MCP tools
## Related
- Fixes #1112
- Related to #929
Co-authored-by: Wei Sun (Jack) <weisun@google.com>
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/3411 from google:fix/agent-tool-mcp-cleanup 9ae753b5a4
PiperOrigin-RevId: 828651896
78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from google.adk.agents import Agent
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from google.adk.tools import AgentTool
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from google.adk.tools.mcp_tool import McpToolset
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from google.adk.tools.mcp_tool.mcp_session_manager import StdioConnectionParams
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from mcp import StdioServerParameters
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# Create MCP toolset
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# This uses the simple-tool MCP server via stdio
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# The server will be launched automatically using uvx from the subdirectory
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mcp_toolset = McpToolset(
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connection_params=StdioConnectionParams(
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server_params=StdioServerParameters(
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command="uvx",
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args=[
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"--from",
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"git+https://github.com/modelcontextprotocol/python-sdk.git#subdirectory=examples/servers/simple-tool",
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"mcp-simple-tool",
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],
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),
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timeout=10.0,
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)
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)
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# Create sub-agent with MCP tools
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# This agent has direct access to MCP tools
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sub_agent = Agent(
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name="mcp_helper",
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model="gemini-2.5-flash",
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description=(
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"A helpful assistant with access to MCP tools for fetching websites."
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),
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instruction="""You are a helpful assistant with access to MCP tools.
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When the user asks for help:
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1. Explain what tools you have available (website fetching)
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2. Use the appropriate tool if needed
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3. Provide clear and helpful responses
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You have access to a website fetcher tool via MCP. Use it to fetch and return website content.""",
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tools=[mcp_toolset],
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)
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# Wrap sub-agent as an AgentTool
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# This allows the main agent to delegate tasks to the sub-agent
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# The sub-agent has access to MCP tools for fetching websites
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mcp_agent_tool = AgentTool(agent=sub_agent)
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# Create main agent
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# This agent can delegate to the sub-agent via AgentTool
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root_agent = Agent(
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name="main_agent",
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model="gemini-2.5-flash",
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description="Main agent that can delegate to a sub-agent with MCP tools.",
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instruction="""You are a helpful assistant. You have access to a sub-agent (mcp_helper)
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that has MCP tools for fetching websites.
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When the user asks for help:
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- If they need to fetch a website, call the mcp_helper tool
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- Otherwise, respond directly
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Always be helpful and explain what you're doing.""",
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tools=[mcp_agent_tool],
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)
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