Integration
Connect PandaDoc and SQL Server
When Document completed fires in PandaDoc, your agent runs Add Row in SQL Server, or New or Updated Row in SQL Server to Create contact in PandaDoc. 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 PandaDoc and SQL Server to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any 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)If your quotes live in SQL Server and your proposals go out through PandaDoc, joining the two keeps both sides current. New rows in SQL Server can become PandaDoc documents from a template, and when a document is completed or changes status, the signed values and dates can be written straight back into your tables.
Example flows
What PandaDoc and SQL Server can do together
From PandaDoc to SQL Server
When Document completed in PandaDoc
then Add Row in SQL Server
When Document updated in PandaDoc
then Update Row in SQL Server
From SQL Server to PandaDoc
When New or Updated Row in SQL Server
then Create contact in PandaDoc
When New Row in SQL Server
then Update contact in PandaDoc
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 PandaDoc and SQL Server
Triggers and actions 7 triggers ยท 26 actions
Trigger
Document completedPolling trigger. Fires when a document reaches completed status. Dedup by document id.
Trigger
Document completed (instant)Instant trigger: fires when a PandaDoc document reaches the completed state. Self-registering โ APIANT creates the PandaDoc webhook when you turn the automation on and removes it when you turn it off, so there is nothing to paste. Only document_state_changed events with status document.completed are passed through; each fires once with the document id, name, status, created/modified/completed timestamps and the full document object.
Trigger
Document updatedPolling trigger. Fires when a document is created or changes status. Dedup by document id + date_modified.
Action
Change document statusManually changes a document's status (e.g. to mark paid or voided). Only certain transitions are allowed.
Action
Create contactCreates a new contact.
Action
Create document from templateCreates a new document from a template, with recipients, tokens, fields, and pricing tables.
Action
Create document linkGenerates a shareable session link for a recipient to view/sign a document.
Action
Delete contactDeletes a contact by ID.
Action
Delete documentDeletes a document by ID.
Action
Download document PDFReturns the document as a PDF file. Use watermark options as needed.
Action
Find document by nameFinds a document by name and emits its ID. An error occurs if none or more than one is found.
Action
Get document detailsRetrieves detailed data for a single document by ID, including recipients, tokens, fields, and metadata.
Action
Get document entered dataEmits arrays of field and token names and values for the specified document.
Action
Get document statusReturns the current status of a document by ID.
Action
Get template detailsRetrieves details for a template by ID, including roles, fields, tokens, and pricing tables.
Action
List contactsLists contacts in the workspace.
Action
List documentsLists documents, optionally filtered by status, template, folder, or search query.
Action
List foldersLists document folders.
Action
List membersLists workspace members (users).
Action
List templatesLists available document templates.
Action
Send documentMoves a draft document to sent status, optionally emailing recipients with a subject and message. Set silent to suppress notifications.
Action
Update contactUpdates an existing contact by ID.
Trigger
New or Updated RowTriggers when a new row is added or modified.
Trigger
New or Updated Row (Custom Query)Fires for each new or changed row returned by a SELECT statement you write against the connected SQL Server database.
Trigger
New RowTriggers when you add a new row.
Trigger
New TableFires when a new table appears in the connected SQL Server database.
Action
Add RowAdd one row to a table on the connected SQL Server database.
Action
Delete RowDelete the rows in a table whose chosen column equals a value.
Action
Find RowFind the first row in a table whose chosen column matches a value.
Action
Find Rows via Custom QueryRuns a SELECT statement you write against the connected SQL Server database and returns every row it matches.
Action
Find Row via Custom QueryRuns a SELECT statement you write against the connected SQL Server database and returns the first row it matches.
Action
Run Custom StatementRuns a statement you write against the connected SQL Server database that changes data rather than returning rows, and reports how many rows it changed.
Action
Update RowChange column values on every row of a table whose chosen column matches a value.
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
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Questions
PandaDoc and SQL Server, answered
Can the signed values from a PandaDoc document land in my own tables?
Yes. When a document reaches completed status, the agent can read the entered fields and tokens, find the matching row in SQL Server and update its columns, or run a statement you write against the database.
What happens if the matching SQL Server row is missing?
You decide the rule up front, such as only updating when the lookup returns a row and adding a row otherwise. The agent tests every scenario before it goes live, including the case where nothing matches.
What can start an automation from PandaDoc?
Any of PandaDoc's 3 triggers in the catalog, including Document completed, Document completed (instant) and Document updated. Describe the moment in plain language and your agent picks the right one.
What can your agent do in SQL Server when something happens in PandaDoc?
Any of SQL Server's 7 actions, including Add Row, Run Custom Statement, Update Row and Find Row. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from SQL Server to PandaDoc?
Yes. When something happens in SQL Server, your agent can act in PandaDoc too. This page covers both directions: SQL Server's triggers and PandaDoc's actions are listed here as well.
Do I have to build a connector for PandaDoc or SQL Server?
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.
Can my AI client use PandaDoc and SQL Server without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
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.