@rm-openai I am building a MCP server with tools, prompts and resources for my use case and would like to discover them with the client.

I see the current implementation in agents/mcp/server.py only fetches tools from the client session. Based on the spec., the mcp.ClientSession already exposes all these methods:

        async with ClientSession(...) as session:

            # Initialize the connection
            await session.initialize()

            # List available prompts
            prompts = await session.list_prompts()

            # Get a prompt
            prompt = await session.get_prompt(
                "example-prompt", arguments={"arg1": "value"}
            )

            # List available resources
            resources = await session.list_resources()

            # List available tools
            tools = await session.list_tools()

            # Read a resource
            content, mime_type = await session.read_resource("file://some/path")

            # Call a tool
            result = await session.call_tool("tool-name", arguments={"arg1": "value"})

but code at agents/mcp/server.py creates the session and only exposes list_tools and call_tool methods. Not sure why prompts and resources have been left out.

Support for MCP prompts and resources #544

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