TIDAL MCP Server

Instructions

Implementation Reference

• src/tidal_mcp/server.py:1097-1140 (handler)

  The main handler function for the 'get_similar_artists' tool. It fetches the seed artist using tidalapi, retrieves similar artists via artist.get_similar(), limits the results, maps them to structured Artist models, and returns an ArtistList.

  @mcp.tool()
  async def get_similar_artists(artist_id: str, limit: int = 10) -> ArtistList:
      """
      Get artists similar to the specified artist.
  
      Args:
          artist_id: ID of the seed artist
          limit: Maximum artists to return (default: 10, max: 50)
  
      Returns:
          List of similar artists
      """
      if not await ensure_authenticated():
          raise ToolError("Not authenticated. Please run the 'login' tool first.")
  
      try:
          limit = min(max(1, limit), 50)
  
          artist = await anyio.to_thread.run_sync(session.artist, artist_id)
          if not artist:
              raise ToolError(f"Artist with ID '{artist_id}' not found")
  
          similar = await anyio.to_thread.run_sync(artist.get_similar)
          limited_similar = similar[:limit] if similar else []
  
          artists = []
          for a in limited_similar:
              artists.append(
                  Artist(
                      id=str(a.id),
                      name=a.name,
                      url=f"https://tidal.com/browse/artist/{a.id}",
                  )
              )
  
          return ArtistList(
              status="success",
              count=len(artists),
              artists=artists,
          )
      except ToolError:
          raise
      except Exception as e:
          raise ToolError(f"Failed to get similar artists: {str(e)}")

• src/tidal_mcp/models.py:80-87 (schema)

  Pydantic model defining the output schema for the tool: a list of similar artists with status, count, and Artist objects.

  class ArtistList(BaseModel):
      """List of artists 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 artists returned")
      artists: List[Artist] = Field(description="List of artist objects")

• src/tidal_mcp/models.py:39-45 (schema)

  Pydantic model for individual Artist objects used in the ArtistList output.

  class Artist(BaseModel):
      """Structured representation of a TIDAL artist."""
  
      id: str = Field(description="Unique TIDAL artist ID")
      name: str = Field(description="Artist name")
      url: str = Field(description="TIDAL web URL for the artist")

• src/tidal_mcp/server.py:120-151 (helper)

  Helper function used by the tool to ensure the user is authenticated with TIDAL before executing the logic.

  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)