Connect via MCP
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Quadratic provides a hosted Model Context Protocol (MCP) server that lets AI assistants read and write your Quadratic spreadsheets. Connect it to any MCP-compatible client to create files, import data, run code, and build analyses from outside the app.
Add the Quadratic MCP server to your AI tool of choice:
https://mcp.quadratichq.com/For example, in Cursor or Claude, add a remote MCP server with the URL above. The first time you use it, you'll be prompted to sign in to your Quadratic account through a browser-based flow.
The MCP server exposes tools for working with your files:
auth — sign in and out of your Quadratic account
files_read — list your files and get file metadata
files_write — create, open, and close files
read_data — read cell data, code cell contents, table outlines, database schemas, dependencies, and search text
write_data — set cell values, write Python/JavaScript/SQL/Formula code cells, import CSV/Excel/Parquet files, create data tables, and more
Read and write tools support batching, so AI clients can perform many operations efficiently in a single call.
Once connected, try prompts like:
"Create a new Quadratic file and import this CSV."
"Read the table in my Sales file and summarize revenue by region."
"Add a Python chart to my Q3 report file."
The MCP server acts on your behalf using your Quadratic account. It has access to the same files and connections you do. Sessions are authenticated via OAuth and can be revoked by logging out.
Prefer calling Quadratic from your own code instead of an AI agent? Use the Developer API.
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