The request names Teable, so Teable comes first: its official MCP server exposes an 'Operate Teable projects' action covering tables, fields, views, records and automations, with create-record actions for writing data 111. Alternatives that handle similar record-and-table operations are Supabase, Airtable and Snowflake, each with a row-insert action 121618.
- 1
Teableteable.aiverified and signed
Teable is an AI spreadsheet and app builder with an MCP server; its teable-assistant-ops action operates projects, tables, fields, views, records and automations, and teable_create_record adds a new record to a table 111.
official:MCP server · Teable+2 community tools built for it
for agents: teable-assistant-ops · teable_create_record · teable_create_records
- 2
Supabasesupabase.comverified and signed
Supabase is a Postgres development platform whose create_row action inserts a new row into a table 12.
official:SDK · @supabase/supabase-jsCLI · supabasepackage · Supabaserepository · supabaseskill · supabase-postgres-best-practices+95 community tools built for it
for agents: create_row · list_tables · search_rows
- 3
Airtableairtable.comverified and signed
Airtable is a no-code workflow and database platform whose airtable_create_record action adds a new record to a table 16.
official:MCP server · @airtable/mcp-cliSDK · airtablerepository · skillsskill · airtableMCP server · airtable-mcp-cli+25 community tools built for it
for agents: airtable_create_record · airtable_get_record_by_id · airtable_delete_record
- 4
Snowflakesnowflake.comverified and signed
Snowflake is an AI Data Cloud whose insert-row action inserts a row into a table 18.
official:SDK · snowflake-connector-python+57 community tools built for it
for agents: insert-row · create_dynamic_table · list_tables
Sources
- 1Teable - The AI Spreadsheet for Business.teable.ai · read 2026-10-29
- 2Supabase | The Postgres Development Platformsupabase.com · read 2026-10-29
- 6Airtable: Build Enterprise-ready AI Workflows, Apps & Agents | Airtableairtable.com · read 2026-10-29
- 8Snowflake AI Data Cloudsnowflake.com · read 2026-10-29
- 11teable-assistant-ops: declares "teable-assistant-ops" (the record we read and signed)unfragile.ai · read 2026-10-24
- 12Supabase (Activepieces): declares "create_row" (the record we read and signed)unfragile.ai · read 2026-10-24
- 16Airtable (Activepieces): declares "airtable_create_record" (the record we read and signed)unfragile.ai · read 2026-10-24
- 18Snowflake (Activepieces): declares "insert-row" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
teable-assistant-ops · teable-assistant-ops verified and signed
Operate Teable projects — tables, fields, views, records, SQL queries, automations, headless routines, apps, image generation, and web scraping. Trigger when user mentions Cuppy, Teable, teable CLI, or Teable-style IDs (bseXXX, tblXXX, fldXXX, recXXX, viwXXX), or wants to manage tables/fields/record
create_row · Supabase (Activepieces) verified and signed
Create Row — Create a new row in a table
get-table · Cloudflare API verified and signed
Get table details
typespec-api-operations · typespec-api-operations verified and signed
Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards
custom_api_call · Stripe (Activepieces) verified and signed
Custom API Call — Make a custom API call to a specific endpoint
airtable_create_record · Airtable (Activepieces) verified and signed
Create Airtable Record — Adds a new record to a table.
get_tables · MySQL (Activepieces) verified and signed
Get Tables — Returns a list of tables in the database
insert-row · Snowflake (Activepieces) verified and signed
Insert Row — Insert a row into a table.
· SQLAlchemy website read, tools not yet checked
The Database Toolkit for Python
chdb-datastore · chdb-datastore verified and signed
Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud,
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.