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InditexTech

MCP Microsoft Teams Server

by InditexTech

list_threads

Retrieve and manage threads in a Microsoft Teams channel with pagination, enabling efficient navigation through discussion history.

Instructions

List threads in channel with pagination

Input Schema

NameRequiredDescriptionDefault
cursorNoPagination cursor for the next page of results
limitNoMaximum number of items to retrieve or page size

Input Schema (JSON Schema)

{ "properties": { "cursor": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Pagination cursor for the next page of results", "title": "Cursor" }, "limit": { "default": 50, "description": "Maximum number of items to retrieve or page size", "title": "Limit", "type": "integer" } }, "title": "list_threadsArguments", "type": "object" }

Implementation Reference

  • MCP tool handler for 'list_threads': registers the tool, validates inputs via Pydantic Fields, retrieves TeamsClient from context, and calls read_threads with pagination parameters.
    @mcp.tool(name="list_threads", description="List threads in channel with pagination") async def list_threads( ctx: Context, limit: int = Field( description="Maximum number of items to retrieve or page size", default=50 ), cursor: str | None = Field( description="Pagination cursor for the next page of results", default=None ), ) -> PagedTeamsMessages: await ctx.debug(f"list_threads with cursor={cursor} and limit={limit}") client = _get_teams_client(ctx) return await client.read_threads(limit, cursor)
  • Pydantic schema/model for the paged response returned by list_threads tool, including cursor, limit, total, and list of TeamsMessage items.
    class PagedTeamsMessages(BaseModel): cursor: str | None = Field( description="Cursor to retrieve the next page of messages." ) limit: int = Field(description="Page limit, maximum number of items to retrieve") total: int = Field(description="Total items available for retrieval") items: list[TeamsMessage] = Field(description="List of channel messages or threads")
  • TeamsClient.read_threads method: the core implementation that fetches channel messages (threads) from Microsoft Graph API using pagination (limit/cursor), maps to PagedTeamsMessages.
    async def read_threads( self, limit: int = 50, cursor: str | None = None ) -> PagedTeamsMessages: """Read all threads in configured teams channel. Args: cursor: The pagination cursor. limit: The pagination page size Returns: Paged team channel messages containing """ try: query = MessagesRequestBuilder.MessagesRequestBuilderGetQueryParameters( top=limit ) request = RequestConfiguration(query_parameters=query) if cursor is not None: response = ( await self.graph_client.teams.by_team_id(self.team_id) .channels.by_channel_id(self.teams_channel_id) .messages.with_url(cursor) .get(request_configuration=request) ) else: response = ( await self.graph_client.teams.by_team_id(self.team_id) .channels.by_channel_id(self.teams_channel_id) .messages.get(request_configuration=request) ) result = PagedTeamsMessages( cursor=response.odata_next_link, # pyright: ignore limit=limit, total=response.odata_count, # pyright: ignore items=[], ) if response.value is not None: # pyright: ignore for message in response.value: # pyright: ignore result.items.append( TeamsMessage( message_id=message.id, # pyright: ignore content=message.body.content, # pyright: ignore thread_id=message.id, # pyright: ignore ) ) return result except Exception as e: LOGGER.error(f"Error reading thread: {str(e)}") raise
  • Helper function to retrieve the TeamsClient instance from the MCP request context, used by list_threads handler.
    def _get_teams_client(ctx: Context) -> TeamsClient: return ctx.request_context.lifespan_context.client
  • Pydantic model for individual TeamsMessage items in the paged response of list_threads.
    class TeamsMessage(BaseModel): thread_id: str = Field( description="Thread ID as a string in the format '1743086901347'" ) message_id: str = Field(description="Message ID") content: str = Field(description="Message content")

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