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MCP Servers & Tools

Telegram AI Assistant with MCP and Google Tasks

When a Telegram message arrives, an OpenAI agent with memory uses an MCP client and server to manage Google Tasks and replies.

What it does

# Telegramtrigger Workflow ## Overview Automated workflow: Telegramtrigger Workflow. This workflow integrates 13 different services: telegramTrigger, stickyNote, googleTasksTool, telegram, agent. It contains 31 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 31 - Node Types: 13 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Incoming Message: telegramTrigger - MCP Server Trigger: mcpTrigger - AI Agent: agent - MCP Client: mcpClientTool - OpenAI Chat Model: lmChatOpenAi - Simple Memory: memoryBufferWindow - chatInput: set - create_todays_task: googleTasksTool - chatOutput: set - sendMessage: telegram - ... and 21 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. Incoming Message
  2. MCP Server Trigger
  3. AI Agent
  4. MCP Client
  5. OpenAI Chat Model
  6. Simple Memory
  7. chatInput
  8. create_todays_task
  9. chatOutput
  10. sendMessage
  11. create_upcoming_task
  12. complete_task
  13. get_todays_tasks
  14. get_upcoming_tasks

30 steps in total.

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