microsoft-teams-mcpplugin 2.0.0a78

library for handling mcp with teams sdk

Microsoft Teams MCP Plugin

[!WARNING] Deprecated — This package was originally in preview, but we have decided to stop maintaining it before General Availability. We recommend using the official MCP Python SDK instead, which provides better long-term support for Model Context Protocol integrations.

Model Context Protocol (MCP) integration for Microsoft Teams AI applications. Enables Teams bots to both expose tools as MCP servers and use MCP servers as clients.

📖 Documentation

Installation

pip install microsoft-teams-mcpplugin

Or if using uv:

uv add microsoft-teams-mcpplugin

Usage

MCP Client (Use MCP Servers)

from microsoft_teams.apps import App
from microsoft_teams.mcpplugin import McpClientPlugin
from microsoft_teams.ai import ChatPrompt
from microsoft_teams.openai import OpenAICompletionsAIModel

# Create MCP client plugin
mcp_client = McpClientPlugin()

# Connect to MCP servers
mcp_client.use_mcp_server("https://example.com/mcp")

# Use with ChatPrompt
model = OpenAICompletionsAIModel(api_key="your-api-key", model="gpt-4")
prompt = ChatPrompt(model, plugins=[mcp_client])

MCP Server (Expose Tools)

from microsoft_teams.apps import App
from microsoft_teams.mcpplugin import McpServerPlugin
from microsoft_teams.ai import Function
from pydantic import BaseModel

# Create MCP server plugin
mcp_server = McpServerPlugin(name="my-mcp-server")

# Define a tool
class EchoParams(BaseModel):
    input: str

async def echo_handler(params: EchoParams) -> str:
    return f"You said {params.input}"

# Register tool with MCP server
mcp_server.use_tool(
    Function(
        name="echo",
        description="Echo back whatever you said",
        parameter_schema=EchoParams,
        handler=echo_handler
    )
)

app = App(plugins=[mcp_server])