Baserow vs SeaTable

Baserow

Database tokens are limited to chosen tables and to create, read, update or delete, and the REST API has a public OpenAPI description with batch calls of 200 rows. The MCP server authenticates with a key in its URL, runs over SSE only and has no read-only mode. Cloud requests are capped at 10 at a time.

SeaTable

API tokens are limited to one base and to read-only or read-write, and the official MCP server marks every tool as read-only or destructive. The Free plan allows 3,000 API calls a month in total, and base calls are capped at 200 a minute. The status page showed the base API degraded for 0.77 per cent of 30 days.

Baserow

1. Create a database token with only the tables and operations needed. It can't change tables or fields, which need a JWT from /api/user/token-auth/
2. Send Authorization: Token YOUR_DATABASE_TOKEN, and add user_field_names=true or rows come back keyed as field_123
3. Use the /batch/ endpoints for up to 200 rows a call, and keep to 10 requests in flight on Baserow Cloud
4. Treat the MCP URL as a password. Keep it out of logs and version control, and delete the endpoint to revoke it
5. Over MCP, call get_table_schema before create_rows or update_rows, and page list_table_rows with page and size

SeaTable

1. Create an API token for the one base with read-only permission unless writes are needed, then exchange it at /api/v2.1/dtable/app-access-token/ for a Base-Token
2. Renew the Base-Token before it expires after 3 days, and send it as Authorization: Bearer to /api-gateway/api/v2/dtables/{base_uuid}/
3. Read x-ratelimit-remaining and x-ratelimit-reset on every base call. SeaTable Cloud allows 200 base calls a minute and answers 429 with no body
4. Batch writes to save the monthly quota. One call appends or updates up to 1,000 rows over REST and 100 over MCP
5. Over MCP, prefer update_rows and delete_rows to query_sql, which can run UPDATE and DELETE, and call get_schema before writing