Remove MCP server from project

- Delete mcp_server.py
- Remove MCP startup from __main__.py
- Remove process_mcp_transcribe_task from tasks.py
- Clean MCP references from README.md

scraibe/tasks.py

@@ -506,71 +506,6 @@ def process_transcription_task(
         logger.info("Cleanup completed for job %s.", task_id)
 
 
-@celery_app.task(
-    name="scraibe.tasks.process_mcp_transcribe_task",
-    bind=True,
-    max_retries=1,
-    task_time_limit=14400,
-    task_soft_time_limit=13500,
-)
-def process_mcp_transcribe_task(
-    self,
-    audio_path: str,
-    job_id: str,
-    language: str,
-    num_speakers: int,
-):
-    """
-    Async task used by MCP-style API:
-    - Transcribe audio
-    - Store transcript + segments in shared MCP job store
-    - Clean up temporary file
-    """
-    from .mcp_server import _mcp_jobs
-
-    log_level = os.getenv("LOG_LEVEL", "INFO")
-    setup_logging(level=log_level)
-
-    # Initialize status
-    _mcp_jobs.setdefault(
-        job_id,
-        {
-            "status": "processing",
-            "message": "Transcription started (async).",
-            "file_path": audio_path,
-        },
-    )
-
-    try:
-        scraibe = Scraibe(verbose=True)
-        result = scraibe.transcribe(
-            audio_file=audio_path,
-            language=language or None,
-            num_speakers=int(num_speakers) if num_speakers else None,
-            verbose=True,
-            for_export=True,
-        )
-
-        transcript_text = result.get("transcript", "")
-        segments = result.get("segments", [])
-
-        _mcp_jobs[job_id]["status"] = "completed"
-        _mcp_jobs[job_id]["transcript"] = transcript_text
-        _mcp_jobs[job_id]["segments"] = segments
-        _mcp_jobs[job_id]["message"] = "Transcription completed."
-
-        logger.info("MCP job %s completed.", job_id)
-
-    except Exception as e:
-        logger.error("MCP job %s failed: %s", job_id, e, exc_info=True)
-        _mcp_jobs[job_id]["status"] = "error"
-        _mcp_jobs[job_id]["message"] = f"Transcription error: {e}"
-
-    finally:
-        _remove_file(audio_path)
-        logger.info("MCP job %s cleanup completed.", job_id)
-
-
 @celery_app.task(
     name="scraibe.tasks.process_watch_file_task",
     bind=True,