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Mcp

McpToolSpec #

Bases: BaseToolSpec

MCPToolSpec will get the tools from MCP Client (only need to implement ClientSession) and convert them to LlamaIndex's FunctionTool objects.

Parameters:

Name Type Description Default
client ClientSession

An MCP client instance implementing ClientSession, and it should support the following methods in ClientSession: - list_tools: List all tools. - call_tool: Call a tool. - list_resources: List all resources. - read_resource: Read a resource.

 required
allowed_tools Optional[List[str]]

If set, only return tools with the specified names.

 None
include_resources bool

Whether to include resources in the tool list.

 False
Source code in llama-index-integrations/tools/llama-index-tools-mcp/llama_index/tools/mcp/base.py 
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class McpToolSpec(BaseToolSpec):
    """
    MCPToolSpec will get the tools from MCP Client (only need to implement ClientSession) and convert them to LlamaIndex's FunctionTool objects.

    Args:
        client: An MCP client instance implementing ClientSession, and it should support the following methods in ClientSession:
            - list_tools: List all tools.
            - call_tool: Call a tool.
            - list_resources: List all resources.
            - read_resource: Read a resource.
        allowed_tools: If set, only return tools with the specified names.
        include_resources: Whether to include resources in the tool list.

    """

    def __init__(
        self,
        client: ClientSession,
        allowed_tools: Optional[List[str]] = None,
        include_resources: bool = False,
    ) -> None:
        self.client = client
        self.allowed_tools = allowed_tools
        self.include_resources = include_resources

    async def fetch_tools(self) -> List[Any]:
        """
        An asynchronous method to get the tools list from MCP Client. If allowed_tools is set, it will filter the tools.

        Returns:
            A list of tools, each tool object needs to contain name, description, inputSchema properties.

        """
        response = await self.client.list_tools()
        tools = response.tools if hasattr(response, "tools") else []

        if self.allowed_tools is None:
            # get all tools by default
            return tools

        if any(self.allowed_tools):
            return [tool for tool in tools if tool.name in self.allowed_tools]

        logging.warning(
            "Returning an empty tool list due to the empty `allowed_tools` list. Please ensure `allowed_tools` is set appropriately."
        )
        return []

    async def fetch_resources(self) -> List[Resource]:
        """
        An asynchronous method to get the resources list from MCP Client.
        """
        response = await self.client.list_resources()
        resources = response.resources if hasattr(response, "resources") else []
        if self.allowed_tools is None:
            return resources

        if any(self.allowed_tools):
            return [
                resource
                for resource in resources
                if resource.name in self.allowed_tools
            ]

        logging.warning(
            "Returning an empty resource list due to the empty `allowed_tools` list. Please ensure `allowed_tools` is set appropriately."
        )
        return []

    def _create_tool_fn(self, tool_name: str) -> Callable:
        """
        Create a tool call function for a specified MCP tool name. The function internally wraps the call_tool call to the MCP Client.
        """

        async def async_tool_fn(**kwargs):
            return await self.client.call_tool(tool_name, kwargs)

        return async_tool_fn

    def _create_resource_fn(self, resource_uri: str) -> Callable:
        """
        Create a resource call function for a specified MCP resource name. The function internally wraps the read_resource call to the MCP Client.
        """

        async def async_resource_fn():
            return await self.client.read_resource(resource_uri)

        return async_resource_fn

    async def to_tool_list_async(self) -> List[FunctionTool]:
        """
        Asynchronous method to convert MCP tools to FunctionTool objects.

        Returns:
            A list of FunctionTool objects.

        """
        tools_list = await self.fetch_tools()
        function_tool_list: List[FunctionTool] = []
        for tool in tools_list:
            fn = self._create_tool_fn(tool.name)
            # Create a Pydantic model based on the tool inputSchema
            model_schema = create_model_from_json_schema(
                tool.inputSchema, model_name=f"{tool.name}_Schema"
            )
            metadata = ToolMetadata(
                name=tool.name,
                description=tool.description,
                fn_schema=model_schema,
            )
            function_tool = FunctionTool.from_defaults(
                async_fn=fn, tool_metadata=metadata
            )
            function_tool_list.append(function_tool)

        if self.include_resources:
            resources_list = await self.fetch_resources()
            for resource in resources_list:
                fn = self._create_resource_fn(resource.name)
                function_tool_list.append(
                    FunctionTool.from_defaults(
                        async_fn=fn,
                        name=resource.name.replace("/", "_"),
                        description=resource.description,
                    )
                )

        return function_tool_list

    def to_tool_list(self) -> List[FunctionTool]:
        """
        Synchronous interface: Convert MCP Client tools to FunctionTool objects.
        Note: This method should not be called in an asynchronous environment, otherwise an exception will be thrown. Use to_tool_list_async instead.

        Returns:
            A list of FunctionTool objects.

        """
        return patch_sync(self.to_tool_list_async)()

fetch_tools async #

fetch_tools() -> List[Any]

An asynchronous method to get the tools list from MCP Client. If allowed_tools is set, it will filter the tools.

Returns:

Type Description
List[Any]

A list of tools, each tool object needs to contain name, description, inputSchema properties.
Source code in llama-index-integrations/tools/llama-index-tools-mcp/llama_index/tools/mcp/base.py 
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async def fetch_tools(self) -> List[Any]:
    """
    An asynchronous method to get the tools list from MCP Client. If allowed_tools is set, it will filter the tools.

    Returns:
        A list of tools, each tool object needs to contain name, description, inputSchema properties.

    """
    response = await self.client.list_tools()
    tools = response.tools if hasattr(response, "tools") else []

    if self.allowed_tools is None:
        # get all tools by default
        return tools

    if any(self.allowed_tools):
        return [tool for tool in tools if tool.name in self.allowed_tools]

    logging.warning(
        "Returning an empty tool list due to the empty `allowed_tools` list. Please ensure `allowed_tools` is set appropriately."
    )
    return []

fetch_resources async #

fetch_resources() -> List[Resource]

An asynchronous method to get the resources list from MCP Client.

Source code in llama-index-integrations/tools/llama-index-tools-mcp/llama_index/tools/mcp/base.py 
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async def fetch_resources(self) -> List[Resource]:
    """
    An asynchronous method to get the resources list from MCP Client.
    """
    response = await self.client.list_resources()
    resources = response.resources if hasattr(response, "resources") else []
    if self.allowed_tools is None:
        return resources

    if any(self.allowed_tools):
        return [
            resource
            for resource in resources
            if resource.name in self.allowed_tools
        ]

    logging.warning(
        "Returning an empty resource list due to the empty `allowed_tools` list. Please ensure `allowed_tools` is set appropriately."
    )
    return []

to_tool_list_async async #

to_tool_list_async() -> List[FunctionTool]

Asynchronous method to convert MCP tools to FunctionTool objects.

Returns:

Type Description
List[FunctionTool]

A list of FunctionTool objects.
Source code in llama-index-integrations/tools/llama-index-tools-mcp/llama_index/tools/mcp/base.py 
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async def to_tool_list_async(self) -> List[FunctionTool]:
    """
    Asynchronous method to convert MCP tools to FunctionTool objects.

    Returns:
        A list of FunctionTool objects.

    """
    tools_list = await self.fetch_tools()
    function_tool_list: List[FunctionTool] = []
    for tool in tools_list:
        fn = self._create_tool_fn(tool.name)
        # Create a Pydantic model based on the tool inputSchema
        model_schema = create_model_from_json_schema(
            tool.inputSchema, model_name=f"{tool.name}_Schema"
        )
        metadata = ToolMetadata(
            name=tool.name,
            description=tool.description,
            fn_schema=model_schema,
        )
        function_tool = FunctionTool.from_defaults(
            async_fn=fn, tool_metadata=metadata
        )
        function_tool_list.append(function_tool)

    if self.include_resources:
        resources_list = await self.fetch_resources()
        for resource in resources_list:
            fn = self._create_resource_fn(resource.name)
            function_tool_list.append(
                FunctionTool.from_defaults(
                    async_fn=fn,
                    name=resource.name.replace("/", "_"),
                    description=resource.description,
                )
            )

    return function_tool_list

to_tool_list #

to_tool_list() -> List[FunctionTool]

Synchronous interface: Convert MCP Client tools to FunctionTool objects. Note: This method should not be called in an asynchronous environment, otherwise an exception will be thrown. Use to_tool_list_async instead.

Returns:

Type Description
List[FunctionTool]

A list of FunctionTool objects.
Source code in llama-index-integrations/tools/llama-index-tools-mcp/llama_index/tools/mcp/base.py 
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def to_tool_list(self) -> List[FunctionTool]:
    """
    Synchronous interface: Convert MCP Client tools to FunctionTool objects.
    Note: This method should not be called in an asynchronous environment, otherwise an exception will be thrown. Use to_tool_list_async instead.

    Returns:
        A list of FunctionTool objects.

    """
    return patch_sync(self.to_tool_list_async)()