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Agent Development Kit(ADK)
An easy-to-use and powerful framework to build AI agents.
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# 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 typing import Optional
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from google.genai.types import FunctionDeclaration
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from typing_extensions import override
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# Attempt to import MCP Tool from the MCP library, and hints user to upgrade
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# their Python version to 3.10 if it fails.
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try:
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from mcp import ClientSession
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from mcp.types import Tool as McpBaseTool
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except ImportError as e:
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import sys
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if sys.version_info < (3, 10):
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raise ImportError(
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"MCP Tool requires Python 3.10 or above. Please upgrade your Python"
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" version."
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) from e
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else:
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raise e
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from ..base_tool import BaseTool
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from ...auth.auth_credential import AuthCredential
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from ...auth.auth_schemes import AuthScheme
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from ..openapi_tool.openapi_spec_parser.rest_api_tool import to_gemini_schema
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from ..tool_context import ToolContext
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class MCPTool(BaseTool):
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"""Turns a MCP Tool into a Vertex Agent Framework Tool.
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Internally, the tool initializes from a MCP Tool, and uses the MCP Session to
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call the tool.
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"""
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def __init__(
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self,
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mcp_tool: McpBaseTool,
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mcp_session: ClientSession,
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auth_scheme: Optional[AuthScheme] = None,
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auth_credential: Optional[AuthCredential] | None = None,
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):
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"""Initializes a MCPTool.
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This tool wraps a MCP Tool interface and an active MCP Session. It invokes
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the MCP Tool through executing the tool from remote MCP Session.
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Example:
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tool = MCPTool(mcp_tool=mcp_tool, mcp_session=mcp_session)
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Args:
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mcp_tool: The MCP tool to wrap.
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mcp_session: The MCP session to use to call the tool.
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auth_scheme: The authentication scheme to use.
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auth_credential: The authentication credential to use.
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Raises:
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ValueError: If mcp_tool or mcp_session is None.
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"""
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if mcp_tool is None:
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raise ValueError("mcp_tool cannot be None")
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if mcp_session is None:
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raise ValueError("mcp_session cannot be None")
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self.name = mcp_tool.name
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self.description = mcp_tool.description if mcp_tool.description else ""
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self.mcp_tool = mcp_tool
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self.mcp_session = mcp_session
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# TODO(cheliu): Support passing auth to MCP Server.
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self.auth_scheme = auth_scheme
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self.auth_credential = auth_credential
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@override
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def _get_declaration(self) -> FunctionDeclaration:
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"""Gets the function declaration for the tool.
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Returns:
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FunctionDeclaration: The Gemini function declaration for the tool.
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"""
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schema_dict = self.mcp_tool.inputSchema
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parameters = to_gemini_schema(schema_dict)
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function_decl = FunctionDeclaration(
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name=self.name, description=self.description, parameters=parameters
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)
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return function_decl
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@override
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async def run_async(self, *, args, tool_context: ToolContext):
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"""Runs the tool asynchronously.
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Args:
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args: The arguments as a dict to pass to the tool.
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tool_context: The tool context from upper level ADK agent.
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Returns:
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Any: The response from the tool.
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"""
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# TODO(cheliu): Support passing tool context to MCP Server.
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response = await self.mcp_session.call_tool(self.name, arguments=args)
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return response
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