Manage ChipsAI chatbots, conversations, and AI models directly from your development environment. Authenticate with your ChipsAI account to automate bot creation, conversation handling, and model configuration.
io.github.fgasparetto/chipsai-mcp
Local install
STDIO
2 required env vars
How models use it and what it is built for.
Manage ChipsAI chatbots, conversations, and AI models directly from your development environment. Authenticate with your ChipsAI account to automate bot creation, conversation handling, and model configuration.
Local install — runs as a subprocess.
Configuration this server reads at startup.
ChipsAI account email
ChipsAI account password
Where to find authoritative docs and source for ChipsAI.
Paste any of these into Agent Studio after connecting ChipsAI.
Common questions about connecting and running ChipsAI.
What can I do with the ChipsAI MCP server?
You can manage chatbots, retrieve and organize conversations, and configure AI models through the MCP interface. Authentication requires your ChipsAI account email and password via environment variables.
How do I authenticate with ChipsAI?
Set the CHIPSAI_EMAIL and CHIPSAI_PASSWORD environment variables before running the server. These credentials are required to connect to your ChipsAI account.
Is there a README or documentation for this server?
The server is installed via `uvx chipsai-mcp@1.0.1`. For detailed API documentation and usage examples, check the official ChipsAI MCP repository or ChipsAI platform documentation.
Can I use this server to automate chatbot workflows?
Yes, the server exposes chatbot and conversation management capabilities, allowing you to automate creation, retrieval, and configuration tasks programmatically through the MCP protocol.
What transport protocol does this MCP server use?
The ChipsAI MCP server uses stdio transport, making it compatible with any MCP client that supports standard input/output communication.
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