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
- Incoming Message
- MCP Server Trigger
- AI Agent
- MCP Client
- OpenAI Chat Model
- Simple Memory
- chatInput
- create_todays_task
- chatOutput
- sendMessage
- create_upcoming_task
- complete_task
- get_todays_tasks
- get_upcoming_tasks
30 steps in total.
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