Integration
Connect Cursor and PandaDoc
When Agent Pull Request Created fires in Cursor, your agent runs Create contact in PandaDoc, or Document completed in PandaDoc to Add Followup Instruction to Agent in Cursor. 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 Cursor and PandaDoc 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)Example flows
What Cursor and PandaDoc can do together
From Cursor to PandaDoc
When Agent Pull Request Created in Cursor
then Create contact in PandaDoc
When New Agent in Cursor
then Update contact in PandaDoc
From PandaDoc to Cursor
When Document completed in PandaDoc
then Add Followup Instruction to Agent in Cursor
When Document updated in PandaDoc
then Launch Agent in Cursor
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 Cursor and PandaDoc
Triggers and actions 6 triggers · 30 actions
Trigger
Agent Pull Request CreatedTriggers when the selected Cursor cloud agent opens a new GitHub pull request.
Trigger
Agent Status EqualsTriggers when a run on the chosen Cursor agent reaches the status you select, such as Finished or Error.
Trigger
New AgentTriggered when a new Cursor cloud agent is created.
Action
Add Followup Instruction to AgentSends a follow-up instruction to an existing Cursor cloud agent, either starting a new run or steering the run in progress. Returns the new run or how the steer was delivered.
Action
Cancel runCancels the active run of a Cursor cloud agent. The run ends in the Cancelled state; start a new run to continue the conversation.
Action
Delete AgentPermanently deletes a Cursor cloud agent. This cannot be undone. Returns the ID of the deleted agent.
Action
Find Agent StatusLooks up a Cursor cloud agent by its ID and returns its status, name, repositories, latest run and link.
Action
Get runReturns the status, timestamps, duration, final reply and pushed branches for one run of a Cursor cloud agent.
Action
Launch AgentCreates a Cursor cloud agent and immediately starts its first run on the task you describe. Returns the new agent and its run.
Action
List agentsReturns the Cursor cloud agents for the connected user, newest first, optionally filtered by pull request URL.
Action
List artifactsReturns the files a Cursor cloud agent has produced, with each file's path, size and last modified time. Returns at most 100 artifacts.
Action
List modelsReturns the recommended Cursor models you can choose from when creating an agent, including their names, aliases, parameters and variants.
Action
List repositoriesReturns the GitHub repositories the connected Cursor user can access through Cursor's GitHub App installation.
Action
List runsReturns the runs of a Cursor cloud agent, newest first, including each run's status, duration, and final reply.
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 — 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.
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
Cursor and PandaDoc, answered
What can start an automation from Cursor?
Any of Cursor's 3 triggers in the catalog, including Agent Pull Request Created, New Agent and Agent Status Equals. Describe the moment in plain language and your agent picks the right one.
What can your agent do in PandaDoc when something happens in Cursor?
Any of PandaDoc's 19 actions, including Create contact, Create document from template, Create document link and Send document. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PandaDoc to Cursor?
Yes. When something happens in PandaDoc, your agent can act in Cursor too. This page covers both directions: PandaDoc's triggers and Cursor's actions are listed here as well.
Do I have to build a connector for Cursor or PandaDoc?
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 Cursor and PandaDoc 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.