team-synapse
Verified Safeby ajaysingh-codes
Overview
Transforms meeting recordings into a knowledge graph, enabling AI-powered chat and visualization for corporate memory and team intelligence.
Installation
python app.pyEnvironment Variables
- VERTEX_PROJECT_ID
- VERTEX_LOCATION
- GCS_BUCKET_NAME
- GOOGLE_APPLICATION_CREDENTIALS
- NEO4J_URI
- NEO4J_USERNAME
- NEO4J_PASSWORD
- GEMINI_API_KEY
- MIRO_API_TOKEN
- MIRO_BOARD_ID
- NOTION_TOKEN
- HF_TOKEN
- LOG_LEVEL
- MAX_FILE_SIZE_MB
- NEO4J_ENABLED
- TENANT_ID
- GRADIO_USERNAME
- GRADIO_PASSWORD
Security Notes
The application relies heavily on environment variables for sensitive credentials (GCP, Neo4j, Gemini, Miro, Notion), which is good practice. The Gradio server can be launched with `share=True`, which would expose it publicly without authentication if `GRADIO_USERNAME` and `GRADIO_PASSWORD` are not set. The Notion integration uses `npx @notionhq/notion-mcp-server`, implying a dependency on Node.js/npm and potentially introducing supply chain risks from that external package, though it's a standard tool. No 'eval' or obvious malicious code patterns were found.
Similar Servers
google_workspace_mcp
Provides comprehensive natural language control over Google Workspace services (Gmail, Calendar, Drive, Docs, Sheets, Slides, Forms, Tasks, Chat, Custom Search) through MCP clients and AI assistants.
gemini-flow
An AI workflow orchestration and execution platform that enables visual programming and integrates with Google's Gemini and Vertex AI services.
gCalendar-mcp
This MCP server enables AI assistants to create and manage Google Calendar events.
mcp-server-google-workspace
Provides programmatic control over Google Workspace applications (Sheets, Docs, Drive, Gmail, Calendar, Slides) through a Model Context Protocol (MCP) server for AI automation.