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unified_search

Search across Microsoft 365 resources like messages, events, files, and sites using a single API query. Specify entity types or search all available data for comprehensive results.

Instructions

Search across multiple Microsoft 365 resources using the modern search API

entity_types can include: 'message', 'event', 'drive', 'driveItem', 'list', 'listItem', 'site'
If not specified, searches across all available types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
entity_typesNo
limitNo
queryYes

Implementation Reference

  • The main handler function for the 'unified_search' tool. It accepts a query, account_id, optional entity_types and limit, calls graph.search_query, categorizes results by entity type (message, event, driveItem, other), and returns a dictionary of lists grouped by type.
    @mcp.tool
    def unified_search(
        query: str,
        account_id: str,
        entity_types: list[str] | None = None,
        limit: int = 50,
    ) -> dict[str, list[dict[str, Any]]]:
        """Search across multiple Microsoft 365 resources using the modern search API
    
        entity_types can include: 'message', 'event', 'drive', 'driveItem', 'list', 'listItem', 'site'
        If not specified, searches across all available types.
        """
        if not entity_types:
            entity_types = ["message", "event", "driveItem"]
    
        results = {entity_type: [] for entity_type in entity_types}
    
        items = list(graph.search_query(query, entity_types, account_id, limit))
    
        for item in items:
            resource_type = item.get("@odata.type", "").split(".")[-1]
    
            if resource_type == "message":
                results.setdefault("message", []).append(item)
            elif resource_type == "event":
                results.setdefault("event", []).append(item)
            elif resource_type in ["driveItem", "file", "folder"]:
                results.setdefault("driveItem", []).append(item)
            else:
                results.setdefault("other", []).append(item)
    
        return {k: v for k, v in results.items() if v}
  • Supporting utility function 'search_query' that implements the Microsoft Graph /search/query API call with pagination handling via 'from' parameter and yields search hit resources. Directly called by unified_search.
    def search_query(
        query: str,
        entity_types: list[str],
        account_id: str | None = None,
        limit: int = 50,
        fields: list[str] | None = None,
    ) -> Iterator[dict[str, Any]]:
        """Use the modern /search/query API endpoint"""
        payload = {
            "requests": [
                {
                    "entityTypes": entity_types,
                    "query": {"queryString": query},
                    "size": min(limit, 25),
                    "from": 0,
                }
            ]
        }
    
        if fields:
            payload["requests"][0]["fields"] = fields
    
        items_returned = 0
    
        while True:
            result = request("POST", "/search/query", account_id, json=payload)
    
            if not result or "value" not in result:
                break
    
            for response in result["value"]:
                if "hitsContainers" in response:
                    for container in response["hitsContainers"]:
                        if "hits" in container:
                            for hit in container["hits"]:
                                if limit and items_returned >= limit:
                                    return
                                yield hit["resource"]
                                items_returned += 1
    
            if "@odata.nextLink" in result:
                break
    
            has_more = False
            for response in result.get("value", []):
                for container in response.get("hitsContainers", []):
                    if container.get("moreResultsAvailable"):
                        has_more = True
                        break
    
            if not has_more:
                break
    
            payload["requests"][0]["from"] += payload["requests"][0]["size"]
  • The server entrypoint imports the FastMCP instance 'mcp' from tools.py (where all @mcp.tool decorators register the tools including unified_search) and calls mcp.run() to start the MCP server, making the tool available.
    from .tools import mcp
    
    
    def main() -> None:
        if not os.getenv("MICROSOFT_MCP_CLIENT_ID"):
            print(
                "Error: MICROSOFT_MCP_CLIENT_ID environment variable is required",
                file=sys.stderr,
            )
            sys.exit(1)
    
        mcp.run()

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