Major Changes: - Implemented notebook-first architecture (multi-document collections) - Added user authentication and multi-tenancy - Created comprehensive database schema (7 tables) - Built complete notebook management system - Implemented notebook-level chat across multiple documents - Added podcast generation from notebooks - Implemented notebook sharing with permissions - Fixed MCP server crashes by bypassing for document processing - Added all enterprise features requested New Features: - User login/signup with bcrypt password hashing - Create/edit/delete notebooks - Upload multiple PDFs to notebooks - Add documents to existing notebooks - Chat across all documents in a notebook - Generate podcasts from entire notebooks - Share notebooks with other users - View shared notebooks - Persistent chat history per notebook - Document summaries, Q&A, and highlights Technical Improvements: - PostgreSQL database with SQLAlchemy ORM - Connection pooling and proper cleanup - Bypassed buggy MCP server for document processing - Direct LlamaCloud API calls for reliability - Proper CASCADE deletes - Session management - Error handling and logging Documentation: - ENTERPRISE_SETUP.md - Setup guide - IMPLEMENTATION_SUMMARY.md - Technical details - SIMPLIFIED_PLAN.md - Architecture overview - CURRENT_STATUS.md - Status and known issues - FINAL_README.md - User guide 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
88 lines
3.1 KiB
Python
88 lines
3.1 KiB
Python
from utils import get_mind_map, process_file, query_index
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from fastmcp import FastMCP
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from typing import List, Union, Literal
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import os
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import logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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mcp: FastMCP = FastMCP(name="MCP For NotebookLM")
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# Check if all required environment variables are set
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REQUIRED_ENV_VARS = [
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"LLAMACLOUD_API_KEY",
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"EXTRACT_AGENT_ID",
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"LLAMACLOUD_PIPELINE_ID",
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"OPENAI_API_KEY"
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]
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missing_vars = [var for var in REQUIRED_ENV_VARS if not os.getenv(var)]
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if missing_vars:
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logger.error(f"Missing required environment variables: {', '.join(missing_vars)}")
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SERVICES_AVAILABLE = False
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else:
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SERVICES_AVAILABLE = True
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@mcp.tool(
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name="process_file_tool",
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description="This tool is useful to process files and produce summaries, question-answers and highlights.",
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)
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async def process_file_tool(
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filename: str,
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) -> Union[str, Literal["Sorry, your file could not be processed."]]:
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if not SERVICES_AVAILABLE:
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logger.error("Services not available due to missing environment variables")
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return "Sorry, your file could not be processed."
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try:
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notebook_model, text = await process_file(filename=filename)
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if notebook_model is None:
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return "Sorry, your file could not be processed."
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if text is None:
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text = ""
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return notebook_model + "\n%separator%\n" + text
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except Exception as e:
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logger.error(f"Error processing file: {e}", exc_info=True)
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return "Sorry, your file could not be processed."
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@mcp.tool(name="get_mind_map_tool", description="This tool is useful to get a mind map")
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async def get_mind_map_tool(
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summary: str, highlights: List[str]
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) -> Union[str, Literal["Sorry, mind map creation failed."]]:
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if not SERVICES_AVAILABLE:
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logger.error("Services not available due to missing environment variables")
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return "Sorry, mind map creation failed."
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try:
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mind_map_fl = await get_mind_map(summary=summary, highlights=highlights)
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if mind_map_fl is None:
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return "Sorry, mind map creation failed."
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return mind_map_fl
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except Exception as e:
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logger.error(f"Error creating mind map: {e}", exc_info=True)
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return "Sorry, mind map creation failed."
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@mcp.tool(name="query_index_tool", description="Query a LlamaCloud index.")
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async def query_index_tool(question: str) -> str:
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if not SERVICES_AVAILABLE:
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logger.error("Services not available due to missing environment variables")
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return "Sorry, I was unable to find an answer to your question."
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try:
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response = await query_index(question=question)
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if response is None:
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return "Sorry, I was unable to find an answer to your question."
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return response
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except Exception as e:
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logger.error(f"Error querying index: {e}", exc_info=True)
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return "Sorry, I was unable to find an answer to your question."
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if __name__ == "__main__":
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if not SERVICES_AVAILABLE:
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logger.warning("Starting MCP server with limited functionality due to missing environment variables")
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mcp.run(transport="streamable-http")
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