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Automate AI chat interactions across browser tabs with token-efficient control.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "parley" yet — see the docs or source repo.
Connect to the ChatGPT tab in my browser, read the current response, and if it has finished, send: "Please turn the conclusion above into 5 bullet points."
The tool reads the current chat response and automatically sends a follow-up message in the same conversation.
Send "Compare MCP with traditional API integrations" in the Claude tab, wait until the streaming output finishes, then return the full response text.
The tool sends a message to the AI, waits for the streaming response to complete, and returns the full output.
Read the latest answer from a Gemini tab and forward it as context to another ChatGPT tab, asking ChatGPT to continue the analysis based on it.
The tool transfers context between different AI chat tabs and continues the conversation.
Researchers or product managers can pass context across multiple AI chat tabs so one model can continue from another model’s answer. This reduces manual copy-paste and improves multi-model workflows.
Developers can automate sending messages to ChatGPT, Gemini, or Claude, read responses, and wait for streaming output to finish. This is useful for validating conversational flows.
When users need to follow up and collect answers across multiple tabs, this tool can read responses and send new prompts in sequence. It fits workflows with repeated prompt iteration.
It is an MCP tool for token-efficient automation of browser-based AI chats such as ChatGPT, Gemini, and Claude. It can read responses, send messages, wait for streaming replies, and bridge conversations between tabs.
The provided description says it works through the Chrome DevTools Protocol. For exact setup and connection steps, see the source repository.
The description emphasizes AI chat workflows and token-efficient interaction, such as reading responses, waiting for streaming output, and bridging different chat tabs. For more detailed differences, see the source repository.
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