Skip to main content
Glama

search_tracks

Find music tracks on TIDAL by searching with artist names, song titles, or keywords to get detailed track information and streaming links.

Instructions

Search for tracks on TIDAL.

Args: query: Search query - artist name, song title, or combination limit: Maximum results (1-50, default: 10)

Returns: List of matching tracks with id, title, artist, album, duration, and URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo

Implementation Reference

  • Handler function implementing the search_tracks tool: performs authentication check, calls TIDAL search API, constructs TrackList response.
    @mcp.tool() async def search_tracks(query: str, limit: int = 10) -> TrackList: """ Search for tracks on TIDAL. Args: query: Search query - artist name, song title, or combination limit: Maximum results (1-50, default: 10) Returns: List of matching tracks with id, title, artist, album, duration, and URL """ if not await ensure_authenticated(): raise ToolError("Not authenticated. Please run the 'login' tool first.") try: limit = min(max(1, limit), 50) results = await anyio.to_thread.run_sync( lambda: session.search(query, models=[tidalapi.Track], limit=limit) ) tracks = [] for track in results.get("tracks", []): tracks.append( Track( id=str(track.id), title=track.name, artist=track.artist.name if track.artist else "Unknown Artist", album=track.album.name if track.album else "Unknown Album", duration_seconds=track.duration, url=f"https://tidal.com/browse/track/{track.id}", ) ) return TrackList(status="success", query=query, count=len(tracks), tracks=tracks) except Exception as e: raise ToolError(f"Track search failed: {str(e)}")
  • Pydantic output schema for search_tracks response containing list of tracks.
    class TrackList(BaseModel): """List of tracks with metadata.""" status: str = Field(description="Operation status (success/error)") query: Optional[str] = Field(None, description="Search query used (for search results)") count: int = Field(description="Number of tracks returned") tracks: List[Track] = Field(description="List of track objects")
  • Pydantic model defining structure of individual Track objects returned by search_tracks.
    class Track(BaseModel): """Structured representation of a TIDAL track.""" id: str = Field(description="Unique TIDAL track ID") title: str = Field(description="Track title") artist: str = Field(description="Primary artist name") album: str = Field(description="Album name") duration_seconds: int = Field(description="Track duration in seconds") url: str = Field(description="TIDAL web URL for the track")
  • FastMCP decorator registering the search_tracks function as a tool.
    @mcp.tool()
  • Helper function to ensure user authentication before executing search_tracks.
    async def ensure_authenticated() -> bool: """ Check if user is authenticated with TIDAL. Automatically loads persisted session if available. """ if await anyio.Path(SESSION_FILE).exists(): try: async with await anyio.open_file(SESSION_FILE, "r") as f: content = await f.read() data = json.loads(content) # Load OAuth session result = await anyio.to_thread.run_sync( session.load_oauth_session, data["token_type"]["data"], data["access_token"]["data"], data["refresh_token"]["data"], None, # expiry time ) if result: is_valid = await anyio.to_thread.run_sync(session.check_login) if not is_valid: await anyio.Path(SESSION_FILE).unlink() return is_valid return False except Exception: await anyio.Path(SESSION_FILE).unlink() return False return await anyio.to_thread.run_sync(session.check_login)

Latest Blog Posts

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/keenanbass1/tidal-mcp'

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