Skip to main content
Glama

Notes MCP Server

by daikw
server.py4.93 kB
import asyncio from mcp.server.models import InitializationOptions import mcp.types as types from mcp.server import NotificationOptions, Server from pydantic import AnyUrl import mcp.server.stdio # Store notes as a simple key-value dict to demonstrate state management notes: dict[str, str] = {} server = Server("mcp-server-on-raspi") @server.list_resources() async def handle_list_resources() -> list[types.Resource]: """ List available note resources. Each note is exposed as a resource with a custom note:// URI scheme. """ return [ types.Resource( uri=AnyUrl(f"note://internal/{name}"), name=f"Note: {name}", description=f"A simple note named {name}", mimeType="text/plain", ) for name in notes ] @server.read_resource() async def handle_read_resource(uri: AnyUrl) -> str: """ Read a specific note's content by its URI. The note name is extracted from the URI host component. """ if uri.scheme != "note": raise ValueError(f"Unsupported URI scheme: {uri.scheme}") name = uri.path if name is not None: name = name.lstrip("/") return notes[name] raise ValueError(f"Note not found: {name}") @server.list_prompts() async def handle_list_prompts() -> list[types.Prompt]: """ List available prompts. Each prompt can have optional arguments to customize its behavior. """ return [ types.Prompt( name="summarize-notes", description="Creates a summary of all notes", arguments=[ types.PromptArgument( name="style", description="Style of the summary (brief/detailed)", required=False, ) ], ) ] @server.get_prompt() async def handle_get_prompt( name: str, arguments: dict[str, str] | None ) -> types.GetPromptResult: """ Generate a prompt by combining arguments with server state. The prompt includes all current notes and can be customized via arguments. """ if name != "summarize-notes": raise ValueError(f"Unknown prompt: {name}") style = (arguments or {}).get("style", "brief") detail_prompt = " Give extensive details." if style == "detailed" else "" return types.GetPromptResult( description="Summarize the current notes", messages=[ types.PromptMessage( role="user", content=types.TextContent( type="text", text=f"Here are the current notes to summarize:{detail_prompt}\n\n" + "\n".join( f"- {name}: {content}" for name, content in notes.items() ), ), ) ], ) @server.list_tools() async def handle_list_tools() -> list[types.Tool]: """ List available tools. Each tool specifies its arguments using JSON Schema validation. """ return [ types.Tool( name="add-note", description="Add a new note", inputSchema={ "type": "object", "properties": { "name": {"type": "string"}, "content": {"type": "string"}, }, "required": ["name", "content"], }, ) ] @server.call_tool() async def handle_call_tool( name: str, arguments: dict | None ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: """ Handle tool execution requests. Tools can modify server state and notify clients of changes. """ if name != "add-note": raise ValueError(f"Unknown tool: {name}") if not arguments: raise ValueError("Missing arguments") note_name = arguments.get("name") content = arguments.get("content") if not note_name or not content: raise ValueError("Missing name or content") # Update server state notes[note_name] = content # Notify clients that resources have changed await server.request_context.session.send_resource_list_changed() return [ types.TextContent( type="text", text=f"Added note '{note_name}' with content: {content}", ) ] async def main(): # Run the server using stdin/stdout streams async with mcp.server.stdio.stdio_server() as (read_stream, write_stream): await server.run( read_stream, write_stream, InitializationOptions( server_name="mcp-server-on-raspi", server_version="0.1.0", capabilities=server.get_capabilities( notification_options=NotificationOptions(), experimental_capabilities={}, ), ), )

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/daikw/mcp-server-on-raspi'

If you have feedback or need assistance with the MCP directory API, please join our Discord server