Integration
Connect Manifestly Checklists Agent to Honeyhive
When something happens in Manifestly Checklists Agent, 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 Manifestly Checklists Agent 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 Manifestly Checklists Agent can start in Honeyhive
When Run Late in Manifestly Checklists Agent
then Add run 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 Manifestly Checklists Agent and Honeyhive
Triggers and actions 1 trigger · 30 actions
- Run Late
Triggers when a run is late.
- Change Step State
Completes, reopens, skips, starts, stops or stores data on a step of a Manifestly checklist run.
- Get Run
Look up one checklist run by its id and return its current details, including its title, state, progress, notes, tags and the workflow it came from.
- List Run Steps
Returns the steps of a checklist run
- List Workflows
Returns the checklist workflows in your Manifestly account.
- Run Workflow
Starts a new run of a Manifestly checklist workflow, optionally naming it, scheduling it and assigning the people who take part.
- 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
Manifestly Checklists Agent and Honeyhive, answered
What can start an automation from Manifestly Checklists Agent?
Any of Manifestly Checklists Agent's 1 trigger in the catalog, including Run Late. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Honeyhive when something happens in Manifestly Checklists Agent?
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 Manifestly Checklists Agent?
Honeyhive has no triggers in the catalog today, so automations start in Manifestly Checklists Agent. 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 Manifestly Checklists Agent 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.