mirror of https://github.com/kortix-ai/suna.git
chore(dev): mcp tools
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a476e71727
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@ -158,13 +158,12 @@ async def run_agent(
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mcp_info += "You have access to external MCP (Model Context Protocol) server tools through the call_mcp_tool function.\n"
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mcp_info += "To use an MCP tool, call it using the standard function calling format:\n"
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mcp_info += '<function_calls>\n'
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mcp_info += '<invoke name={server}_{tool}>\n'
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mcp_info += '<parameter name="tool_name">mcp_{server}_{tool}</parameter>\n'
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mcp_info += '<invoke name="call_mcp_tool">\n'
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mcp_info += '<parameter name="tool_name">{server}_{tool}</parameter>\n'
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mcp_info += '<parameter name="arguments">{"argument1": "value1", "argument2": "value2"}</parameter>\n'
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mcp_info += '</invoke>\n'
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mcp_info += '</function_calls>\n'
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# List configured MCP servers
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mcp_info += "\nConfigured MCP servers:\n"
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for mcp_config in agent_config['configured_mcps']:
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server_name = mcp_config.get('name', 'Unknown')
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@ -2,7 +2,7 @@
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MCP Tool Wrapper for AgentPress
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This module provides a generic tool wrapper that handles all MCP (Model Context Protocol)
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server tool calls through a single AgentPress tool interface.
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server tool calls through dynamically generated individual function methods.
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"""
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import json
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@ -14,10 +14,10 @@ from utils.logger import logger
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class MCPToolWrapper(Tool):
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"""
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A generic tool wrapper that handles all MCP server tool calls.
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A generic tool wrapper that dynamically creates individual methods for each MCP tool.
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This tool acts as a proxy, forwarding tool calls to the appropriate MCP server
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based on the tool name prefix.
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This tool creates separate function calls for each MCP tool while routing them all
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through the same underlying implementation.
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"""
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def __init__(self, mcp_configs: Optional[List[Dict[str, Any]]] = None):
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@ -31,13 +31,15 @@ class MCPToolWrapper(Tool):
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self.mcp_manager = MCPManager()
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self.mcp_configs = mcp_configs or []
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self._initialized = False
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self._dynamic_tools = {}
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async def _ensure_initialized(self):
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"""Ensure MCP connections are initialized."""
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"""Ensure MCP connections are initialized and dynamic tools are created."""
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if not self._initialized and self.mcp_configs:
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logger.info(f"Initializing MCP connections for {len(self.mcp_configs)} servers")
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try:
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await self.mcp_manager.connect_all(self.mcp_configs)
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await self._create_dynamic_tools()
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self._initialized = True
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except ValueError as e:
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if "SMITHERY_API_KEY" in str(e):
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@ -47,55 +49,65 @@ class MCPToolWrapper(Tool):
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logger.error("2. Set it as an environment variable: export SMITHERY_API_KEY='your-key-here'")
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logger.error("3. Or add it to your .env file: SMITHERY_API_KEY=your-key-here")
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raise
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async def _create_dynamic_tools(self):
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"""Create dynamic tool methods for each available MCP tool."""
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try:
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available_tools = self.mcp_manager.get_all_tools_openapi()
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for tool_info in available_tools:
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tool_name = tool_info.get('function', {}).get('name', '')
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if tool_name:
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# Create a dynamic method for this tool
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self._create_dynamic_method(tool_name, tool_info)
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logger.info(f"Created {len(self._dynamic_tools)} dynamic MCP tool methods")
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except Exception as e:
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logger.error(f"Error creating dynamic MCP tools: {e}")
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def _create_dynamic_method(self, tool_name: str, tool_info: Dict[str, Any]):
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"""Create a dynamic method for a specific MCP tool."""
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async def dynamic_tool_method(arguments: Dict[str, Any]) -> ToolResult:
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"""Dynamically created method for MCP tool."""
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return await self._execute_mcp_tool(tool_name, arguments)
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# Store the method and its info
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self._dynamic_tools[tool_name] = {
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'method': dynamic_tool_method,
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'info': tool_info
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}
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# Add the method to this instance
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setattr(self, tool_name.replace('-', '_'), dynamic_tool_method)
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def __getattr__(self, name: str):
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"""Handle calls to dynamically created MCP tool methods."""
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# Convert method name back to tool name (handle underscore conversion)
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tool_name = name.replace('_', '-')
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if tool_name in self._dynamic_tools:
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return self._dynamic_tools[tool_name]['method']
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# If it looks like an MCP tool name, try to find it
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for existing_tool_name in self._dynamic_tools:
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if existing_tool_name.replace('-', '_') == name:
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return self._dynamic_tools[existing_tool_name]['method']
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raise AttributeError(f"'{self.__class__.__name__}' object has no attribute '{name}'")
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async def get_available_tools(self) -> List[Dict[str, Any]]:
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"""Get all available MCP tools in OpenAPI format."""
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await self._ensure_initialized()
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return self.mcp_manager.get_all_tools_openapi()
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@openapi_schema({
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"type": "function",
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"function": {
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"name": "call_mcp_tool",
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"description": "Execute a tool from any connected MCP server. This is a generic wrapper that forwards calls to MCP tools. The tool_name should be in the format 'mcp_{server}_{tool}' where {server} is the MCP server's qualified name and {tool} is the specific tool name.",
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"parameters": {
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"type": "object",
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"properties": {
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"tool_name": {
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"type": "string",
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"description": "The full MCP tool name in format 'mcp_{server}_{tool}', e.g., 'mcp_exa_web_search_exa'"
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},
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"arguments": {
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"type": "object",
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"description": "The arguments to pass to the MCP tool, as a JSON object. The required arguments depend on the specific tool being called.",
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"additionalProperties": True
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}
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},
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"required": ["tool_name", "arguments"]
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}
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}
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})
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@xml_schema(
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tag_name="call-mcp-tool",
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mappings=[
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{"param_name": "tool_name", "node_type": "attribute", "path": "."},
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{"param_name": "arguments", "node_type": "content", "path": "."}
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],
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example='''
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<function_calls>
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<invoke name="exa_web_search">
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<parameter name="tool_name">mcp_exa_web_search_exa</parameter>
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<parameter name="arguments">{"query": "latest developments in AI", "num_results": 10}</parameter>
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</invoke>
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</function_calls>
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'''
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)
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async def call_mcp_tool(self, tool_name: str, arguments: Dict[str, Any]) -> ToolResult:
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async def _execute_mcp_tool(self, tool_name: str, arguments: Dict[str, Any]) -> ToolResult:
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"""
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Execute an MCP tool call.
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Execute an MCP tool call (internal implementation).
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Args:
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tool_name: The full MCP tool name (e.g., "mcp_exa_web_search_exa")
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tool_name: The MCP tool name (e.g., "mcp_exa_web_search_exa")
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arguments: The arguments to pass to the tool
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Returns:
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@ -107,13 +119,6 @@ class MCPToolWrapper(Tool):
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logger.info(f"Executing MCP tool {tool_name} with args: {arguments}")
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# Parse tool name to extract server and tool info
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parts = tool_name.split("_", 2)
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if len(parts) != 3 or parts[0] != "mcp":
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return self.fail_response(f"Invalid MCP tool name format: {tool_name}. Expected format: mcp_{{server}}_{{tool}}")
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_, server_name, original_tool_name = parts
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# Parse arguments if they're provided as a JSON string
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if isinstance(arguments, str):
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try:
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@ -124,6 +129,11 @@ class MCPToolWrapper(Tool):
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# Execute the tool through MCP manager
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result = await self.mcp_manager.execute_tool(tool_name, arguments)
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# Parse tool name to extract server and tool info for metadata
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parts = tool_name.split("_", 2)
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server_name = parts[1] if len(parts) > 1 else "unknown"
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original_tool_name = parts[2] if len(parts) > 2 else tool_name
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# Enhance the result with metadata for better frontend display
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enhanced_result = {
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"mcp_metadata": {
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@ -193,6 +203,57 @@ class MCPToolWrapper(Tool):
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}
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return self.fail_response(json.dumps(error_result, indent=2))
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# Keep the original call_mcp_tool method as a fallback
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@openapi_schema({
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"type": "function",
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"function": {
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"name": "call_mcp_tool",
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"description": "Execute a tool from any connected MCP server. This is a fallback wrapper that forwards calls to MCP tools. The tool_name should be in the format 'mcp_{server}_{tool}' where {server} is the MCP server's qualified name and {tool} is the specific tool name.",
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"parameters": {
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"type": "object",
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"properties": {
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"tool_name": {
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"type": "string",
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"description": "The full MCP tool name in format 'mcp_{server}_{tool}', e.g., 'mcp_exa_web_search_exa'"
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},
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"arguments": {
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"type": "object",
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"description": "The arguments to pass to the MCP tool, as a JSON object. The required arguments depend on the specific tool being called.",
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"additionalProperties": True
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}
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},
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"required": ["tool_name", "arguments"]
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}
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}
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})
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@xml_schema(
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tag_name="call-mcp-tool",
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mappings=[
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{"param_name": "tool_name", "node_type": "attribute", "path": "."},
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{"param_name": "arguments", "node_type": "content", "path": "."}
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],
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example='''
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<function_calls>
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<invoke name="call_mcp_tool">
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<parameter name="tool_name">mcp_exa_web_search_exa</parameter>
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<parameter name="arguments">{"query": "latest developments in AI", "num_results": 10}</parameter>
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</invoke>
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</function_calls>
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'''
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)
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async def call_mcp_tool(self, tool_name: str, arguments: Dict[str, Any]) -> ToolResult:
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"""
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Execute an MCP tool call (fallback method).
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Args:
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tool_name: The full MCP tool name (e.g., "mcp_exa_web_search_exa")
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arguments: The arguments to pass to the tool
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Returns:
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ToolResult with the tool execution result
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"""
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return await self._execute_mcp_tool(tool_name, arguments)
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async def cleanup(self):
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"""Disconnect all MCP servers."""
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