Developers can integrate by following these steps: 1) Get the pond_mcp_server binary file located in /Applications/Pond.app/Contents/MacOS/; 2) Register a new app with Pond to get a unique APP_ID and an access token; 3) Start the MCP server via the terminal, specify the transport method (stdio/HTTP) and authentication parameters; 4) Develop the client by referring to the Python example in docs.trypond.ai. (stdio/HTTP) and authentication parameters; 4) Develop the client by referring to the Python example at docs.trypond.ai.
Typical application scenarios include: adding user history message context to chatbots for personalized replies; accurately extracting conversation points when developing intelligent summary functions; automatically identifying to-do items in messages when constructing task management systems, and so on.
This answer comes from the articlePond: macOS tool for efficiently managing WhatsApp messages with AI-generated repliesThe
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