Integration
Connect Pinecone and Sprig
When Index Status Change fires in Pinecone, your agent runs Upsert User in Sprig, or New Study in Sprig to Add Backup in Pinecone. 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 Pinecone and Sprig 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Pinecone and Sprig can do together
From Pinecone to Sprig
When Index Status Change in Pinecone
then Upsert User in Sprig
From Sprig to Pinecone
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 Pinecone and Sprig
Triggers and actions 3 triggers · 24 actions
- Index Status Change
Triggers when a Pinecone index is created or its status changes (for example from Initializing to Ready).
- Add Backup
Creates a backup of a Pinecone index. The backup starts in Initializing status and becomes Ready when complete.
- Advanced: Describe Index
Returns the configuration and status of one Pinecone index, including its host.
- Configure Index
Changes an index's deletion protection and tags.
- Create Index
Creates a serverless Pinecone index holding dense vectors of the dimension and similarity metric you choose.
- Delete Index
Deletes a Pinecone index and all of its data.
- List Backups
Returns the backups for all indexes in the Pinecone project.
- List Indexes
Returns every index in your Pinecone project with its dimension, metric, host and status.
- New Study
Triggers when a new study (survey) is created in Sprig.
- New Survey Response
Triggers when a new answer to a Sprig survey question is submitted.
- Create Invitations
Creates a batch of single-use invitation links for a Sprig survey.
- Create Survey
Creates a draft shareable Sprig survey. Questions are added separately.
- Delete Draft Study
Deletes a draft Sprig study. Only draft studies can be deleted.
- Delete Question
Deletes a question from a Sprig study. Needs the study's current version.
- Get Question
Returns one question of a Sprig study, with its options.
- Get Study
Returns one Sprig study by its ID, including its current version.
- Get User
Returns a Sprig user by user ID, with attributes and tracked events.
- List Attributes
Returns the user attributes defined in the Sprig environment.
- List Events
Returns the tracked events defined in the Sprig environment.
- List Invitations
Returns invitation links of a Sprig survey, filtered by status.
- List Questions
Returns the questions of a Sprig study.
- List Studies
Returns a page of Sprig studies (surveys), optionally filtered by status or type.
- List Survey Responses
Returns exported Sprig survey responses, optionally for one survey.
- Purge Visitors
Requests deletion of Sprig users and all their data, by email or user ID (up to 100).
- Update Study Name
Renames a Sprig study. Needs the study's current version from Get Study.
- Upsert User
Creates or updates a Sprig user by user ID, setting email and attributes.
- Validate Study
Checks a Sprig study and returns any issues that would block it from launching.
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
Pinecone and Sprig, answered
What can start an automation from Pinecone?
Any of Pinecone's 1 trigger in the catalog, including Index Status Change. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Sprig when something happens in Pinecone?
Any of Sprig's 17 actions, including Create Invitations, Create Survey, Update Study Name and Get Question. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Sprig to Pinecone?
Yes. When something happens in Sprig, your agent can act in Pinecone too. This page covers both directions: Sprig's triggers and Pinecone's actions are listed here as well.
Do I have to build a connector for Pinecone or Sprig?
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 Pinecone and Sprig 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.