Integration
Connect Teamwork to Geckoboard
When New Company fires in Teamwork, your agent runs Create or Update Dataset in Geckoboard. 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 Teamwork and Geckoboard 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 Teamwork can start in Geckoboard
When New Company in Teamwork
then Create or Update Dataset in Geckoboard
When New Milestone in Teamwork
then Append Dataset Data in Geckoboard
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 Teamwork and Geckoboard
Triggers and actions 6 triggers · 27 actions
Trigger
New CompanyTriggered when a new company is added.
Trigger
New MilestoneTriggered when a new milestone is added.
Trigger
New PersonTriggered when a new person is added.
Trigger
New ProjectTriggered when a new project is added.
Trigger
New TaskTriggered when a new task is added.
Trigger
New Time EntryTriggered when a new time entry is added.
Action
Add CompanyCreates a new company.
Action
Add MessageAdds a message to the specified project.
Action
Add MilestoneAdds a new milestone to the specified project.
Action
Add Time EntryLogs a time entry against the specified task.
Action
Complete TaskMarks a task as complete.
Action
Create ProjectAdds a new project.
Action
Create TaskAdds a new task to the specified task list.
Action
Create Task ListCreates a new task list in the specified project.
Action
Delete ProjectDeletes a project by ID.
Action
Delete TaskDeletes a task by ID.
Action
Get ProjectReturns a single project by ID.
Action
Get TaskReturns a single task by ID.
Action
List CompaniesReturns all companies on the site.
Action
List MilestonesReturns all milestones on the site.
Action
List PeopleReturns all people on the site.
Action
List ProjectsReturns all projects on the Teamwork site.
Action
List Task ListsReturns all task lists in the specified project.
Action
List TasksReturns all tasks across the site.
Action
List Tasks in ProjectReturns all tasks in the specified project.
Action
List Time EntriesReturns time entries across the site.
Action
Update ProjectUpdates an existing project.
Action
Update TaskUpdates an existing task.
Action
Append Dataset DataAppends records to a dataset, keeping the most recent rows.
Action
Create or Update DatasetCreates a new dataset or updates the schema of an existing one.
Action
Delete DatasetDeletes a dataset and all of its data.
Action
Replace Dataset DataReplaces all data in a dataset with the provided records.
Action
Verify API KeyVerifies the Geckoboard API key by hitting the root endpoint. Read-only.
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
Teamwork and Geckoboard, answered
What can start an automation from Teamwork?
Any of Teamwork's 6 triggers in the catalog, including New Company, New Milestone, New Person and New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Geckoboard when something happens in Teamwork?
Any of Geckoboard's 5 actions, including Create or Update Dataset, Append Dataset Data, Replace Dataset Data and Verify API Key. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Geckoboard to Teamwork?
Geckoboard has no triggers in the catalog today, so automations start in Teamwork. If you need the other direction, ask: your agent reads Geckoboard's API documentation and adds it.
Do I have to build a connector for Teamwork or Geckoboard?
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 Teamwork and Geckoboard 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.