Integration
Connect TestMonitor to Typecast
When New Issue fires in TestMonitor, your agent runs Create Speech From Text in Typecast. 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 TestMonitor and Typecast 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 TestMonitor can start in Typecast
When New Issue in TestMonitor
then Create Speech From Text in Typecast
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 TestMonitor and Typecast
Triggers and actions 4 triggers · 25 actions
- New Issue
Triggers when a new issue is added in the selected project.
- New test case
- New Test Result
Triggers when a new test result is created in the selected project.
- New test run
- Add issue comment
/issue/{issueId}/comments
- Add project
/projects
- Add requirement
/requirements
- Add test case
/test-cases - create a test case.
- Add test result
/test-results - create a test result.
- Create Issue
Creates a new issue.
- Find an Issue
Find an existing issue.
- Find a Project
Find an existing project.
- Find a Test Result
Finds an existing test result.
- Find requirements
- Find test cases
- Find test runs
- List Issue Comments
Returns all comments posted on a TestMonitor issue.
- Update Issue
Updates an issue.
- Update test case
/test-cases/{testCaseId}
- Update test result
/test-results/{testResultId}
- Update test run
/test-runs/{testRunId}
- Compose speech from text
Compose multi-segment text-to-speech into one audio file.
- Create Speech From Text
Converts text to speech using Typecast AI voice models. Supports ssfm-v30 with context-aware emotion inference.
- Create Speech With Timestamps
Converts text to speech and returns word- or character-level alignment alongside the audio. Useful for generating subtitles, karaoke captions, or syncing visuals to narration.
- Create Streaming Speech From Text
- Find voices by criteria
Recommend voices matching criteria. See Typecast docs API Reference > Voices > Recommend Voices (GET). Auth X-API-KEY header.
- Get My Subscription
Returns the authenticated user plan tier, credit usage, and concurrency limit. Useful for quota-aware batching, plan gating, and rate-limit guards in your Zaps.
- Get Voice by ID
Get detailed information for a specific voice with enhanced metadata (V2 API)
- List Voices
Lists all available voice models with enhanced metadata. Filter by model, gender, age, or use case.
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
TestMonitor and Typecast, answered
What can start an automation from TestMonitor?
Any of TestMonitor's 4 triggers in the catalog, including New Issue, New test case, New Test Result and New test run. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Typecast when something happens in TestMonitor?
Any of Typecast's 8 actions, including Create Speech From Text, Create Speech With Timestamps, Create Streaming Speech From Text and Compose speech from text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Typecast to TestMonitor?
Typecast has no triggers in the catalog today, so automations start in TestMonitor. If you need the other direction, ask: your agent reads Typecast's API documentation and adds it.
Do I have to build a connector for TestMonitor or Typecast?
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.