Automated cross-platform integration approach
Solutions that bridge different platforms via the MCP protocol:
- Configuration phase: Declare the address of the MCP server to which you want to connect in the proxy configuration file, e.g. add both GitHub and Slack's official/self-built server endpoints
- Task organization: Use natural language to describe the cross-platform process, such as "get GitHub Issues → categorize and process → push Slack notifications", the framework will automatically handle API calls and data structure conversion.
- Exception handling: Write retry logic in custom MCP servers to resolve docking failures due to network fluctuations
Practical examples: 1) Create the docking module by referring to the sample file in the mcps directory 2) Update the dependency using uv synchronization 3) Monitor the data flow status through FastAPI logs. For complex scenarios, paging can be used to cope with high-volume data transfer.
This answer comes from the articleEasy Agents: Rapidly Building Intelligent Automated Agents Using Natural LanguageThe
May not be reproduced without permission:AI productivity tools " How to automate workflow interfacing for cross-platform tools (e.g. Slack + GitHub)?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil