Integration
Connect Pipefile to Honeyhive
When something happens in Pipefile, your agent does the next thing in Honeyhive. Describe it 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 Pipefile and Honeyhive 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 Pipefile can start in Honeyhive
When File Request Created in Pipefile
then Add annotation queue in Honeyhive
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 Pipefile and Honeyhive
Triggers and actions 1 trigger · 35 actions
- File Request Created
Triggers when a file request is created.
- Add File Request From Template
Create a new file request from an existing template for one recipient (name/email/phone), optionally on behalf of a team member via X-Pipefile-On-Behalf-Of.
- Create Contact
Add to contacts
- Delete Contact
Delete a contact by id. Returns 204 No Content on success.
- Get Contact
Retrieve one contact by id.
- Get File Request
Retrieve detailed information about one file request by id, including contents, items, files, and tracking events.
- List Contacts
Retrieve a paginated list of contacts, filterable by name/email/phone partial match.
- List File Request Templates
Retrieve the list of file request templates available for creating new file requests, with optional name search.
- Search File Requests
Finds all file requests matching this search query (contact name, email, tags, etc).
- Send Request
Create and send a new request
- Update Contact
Update name/email/phone of an existing contact by id.
- Add annotation queue
Create a new annotation queue.
- Add batch of events
Create multiple events in one call.
- Add batch of session events
Add a batch of events to an existing session.
- Add datapoint
Create a new datapoint.
- Add dataset
Create a new dataset.
- Add event
Create a new event (LLM trace/span/tool call) in HoneyHive.
- Add run
Create a new evaluation run (experiment).
- Add session
Start a new tracing session.
- Delete datapoint
Delete a datapoint by ID.
- Delete dataset
Delete a dataset by ID.
- Delete metric
Delete a metric by ID.
- Find events by filters
Search/filter events.
- Get datapoint
Retrieve a single datapoint by ID.
- Get event
Retrieve a single event by ID.
- Get run
Get details of an evaluation run by ID.
- List annotation queues
List annotation queues for a project.
- List datapoints
Retrieve a list of datapoints.
- List datasets
Retrieve datasets for a project.
- List metrics
List all metrics for a project.
- List runs
Get a list of evaluation runs (experiments) for a project.
- Run metric evaluation
Run a metric evaluation and return the result.
- Update datapoint
Update an existing datapoint.
- Update dataset
Update an existing dataset.
- Update event
Update fields on an existing event.
- Update metric
Update an existing metric.
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
Pipefile and Honeyhive, answered
What can start an automation from Pipefile?
Any of Pipefile's 1 trigger in the catalog, including File Request Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Honeyhive when something happens in Pipefile?
Any of Honeyhive's 25 actions, including Update datapoint, Update dataset, Update event and Update metric. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Honeyhive to Pipefile?
Honeyhive has no triggers in the catalog today, so automations start in Pipefile. If you need the other direction, ask: your agent reads Honeyhive's API documentation and adds it.
Do I have to build a connector for Pipefile or Honeyhive?
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.