ChipsAI MCP Server is a Model Context Protocol server that manages chatbots, conversations, documents, and AI models for ChipsAI users.
From the registry: MCP server for ChipsAI — manage chatbots, conversations, and AI models
Please install the `chipsai-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.11+** — Python 3.11 or newer required (https://www.python.org/)
- **ChipsAI account and API key** — Sign up at ChipsAI and generate an API key from dashboard settings (https://ai.chipsbuilder.com/dashboard/settings/)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["chipsai-mcp"]
- required environment variables:
- `CHIPSAI_API_KEY`: ChipsAI API key (Bearer token) (example: `chipsai_<your-api-key>`)
- optional environment variables:
- `CHIPSAI_API_URL`: API base URL (example: `https://ai.chipsbuilder.com`)
- `CHIPSAI_USERNAME`: Legacy: ChipsAI username (if not using API key) (example: `<your-username>`)
- `CHIPSAI_PASSWORD`: Legacy: ChipsAI password (example: `<your-password>`)
Note: Manage ChipsAI chatbots, conversations, documents (RAG via LlamaParse), and AI models. Credit-based pricing.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.CHIPSAI_API_KEYrequiredYour ChipsAI API key (recommended)AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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