Integration
Connect Airtable to DocsBot AI
When New or Updated Record fires in Airtable, your agent runs Add lead in DocsBot AI. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Airtable and DocsBot AI to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Airtable can start in DocsBot AI
When New or Updated Record in Airtable
then Add lead in DocsBot AI
When New Record in Airtable
then Chat Agent Message (Recommended) in DocsBot AI
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Airtable and DocsBot AI
Triggers and actions 2 triggers · 27 actions
Trigger
New or Updated RecordTriggers when a record is created or updated.
Trigger
New RecordTriggers when a new record is created or new or existing records when first added to a selected view.
Action
Add Comment to RecordAdd a comment to an existing record in Airtable.
Action
Create BaseCreate a new Airtable base in your workspace.
Action
Create or Update RecordFind and update an existing record, or create a new one.
Action
Create RecordCreates a new record with auto-populating fields.
Action
Create TableCreate a new table in an existing Airtable base.
Action
Delete RecordDelete a record in a table.
Action
Find RecordFind a record in a table.
Action
Find Record by IDFind a specific record using its unique ID.
Action
Find TableFind tables by searching for a keyword in table name or description.
Action
Get All RecordsList all records from a table with pagination support.
Action
Get Base SchemaRetrieve the complete schema for a base, including all tables and their field definitions.
Action
List basesLists every Airtable base the connected account can see. Takes no search criterion.
Action
Update Multiple RecordsUpdate up to 10 records at once in a specific table.
Action
Update RecordUpdate a record in a specific table.
Action
Add botCreates a new DocsBot bot in a team, optionally copying sources from an existing bot.
Action
Add leadCaptures or updates a lead for a DocsBot conversation, merging the supplied contact details (email, name, company and so on) into the lead record.
Action
Add sourceCreates a new training source (URL, sitemap, document, Q&A and more) on a DocsBot bot.
Action
Ask Question (Legacy)Asks a DocsBot bot a question using the legacy Chat API and returns the answer, its sources and the updated chat history.
Action
Chat Agent Message (Recommended)Sends a message to a DocsBot bot in a stateful conversation and returns the agent's answer, sources and conversation history.
Action
Create Web SourceAdds a web-based training source (a page URL, sitemap, RSS feed or YouTube video) to a DocsBot bot and returns the created source.
Action
Delete botPermanently deletes a bot from a DocsBot team.
Action
Delete leadDeletes one captured lead record from a DocsBot bot.
Action
Delete sourceDeletes a training source from a DocsBot bot. The source may still appear in chat answers for a few minutes afterwards.
Action
Get botReturns one DocsBot bot with its settings, model, status and source counts.
Action
List botsReturns the bots in a DocsBot team, optionally filtered by text or privacy and sorted.
Action
Semantic SearchSearches a bot's trained content and returns the most relevant source chunks for a natural-language query.
Action
Update botUpdates the settings of an existing DocsBot bot, such as its name, description, prompt, model, privacy and widget appearance. Only the fields you fill in are changed.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Airtable and DocsBot AI, answered
What can start an automation from Airtable?
Any of Airtable's 2 triggers in the catalog, including New or Updated Record and New Record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DocsBot AI when something happens in Airtable?
Any of DocsBot AI's 13 actions, including Create Web Source, Update bot, Add bot and Add lead. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DocsBot AI to Airtable?
DocsBot AI has no triggers in the catalog today, so automations start in Airtable. If you need the other direction, ask: your agent reads DocsBot AI's API documentation and adds it.
Do I have to build a connector for Airtable or DocsBot AI?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.