Integration
Connect AI Law Tracker to Azure Speech Service
When New enforcement matter fires in AI Law Tracker, your agent runs Transcribe Audio File in Azure Speech Service. 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 AI Law Tracker and Azure Speech Service 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 AI Law Tracker can start in Azure Speech Service
When New enforcement matter in AI Law Tracker
then Transcribe Audio File in Azure Speech Service
When New enforcement matter in AI Law Tracker
then Convert Text to Speech in Azure Speech Service
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 AI Law Tracker and Azure Speech Service
Triggers and actions 1 trigger · 20 actions
Trigger
New enforcement matterAction
Assess companysubmit a company profile, get back applicable obligations + a 1-10 risk score.
Action
Find lawsfull-text search over law records by title/summary.
Action
Generate compliance reporton-demand AI compliance report (PDF or signed link).
Action
Get billone landmark bill with sources, citations, cross-links.
Action
Get lawget one legal record by uuid.
Action
Get law citationscitation projection for one law record.
Action
Get law sourcestiered primary/secondary source URLs backing one law record.
Action
Get sectorone sector's overview + derived obligations & penalties.
Action
List billscurated landmark-bill index.
Action
List deadlinesupcoming AI-law effective/compliance dates (JSON or iCal).
Action
List jurisdictionscovered jurisdictions with record counts.
Action
List lawslist legal records with filter/sort/pagination.
Action
List newsAI-law news headlines (filter, keyword, date range; newest-first).
Action
List obligationsderived AI-law obligations for a jurisdiction/sector/use.
Action
List penaltiespenalty & enforcement dataset for applicable laws.
Action
List sectorssector index (valid slugs for obligations/penalties/assess).
Action
Convert Text to SpeechTurns text into a spoken audio file using the voice you choose, ready to attach or upload in a later step.
Action
List VoicesReturns the text-to-speech voices available in your Speech resource's region, optionally limited to one locale.
Action
Transcribe Audio FileTranscribes a recorded audio file (MP3, WAV, OGG and more, up to 2 hours) into text, with optional speaker separation.
Action
Transcribe Short AudioConverts a short spoken audio clip (up to 60 seconds) into text in the language you choose.
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
AI Law Tracker and Azure Speech Service, answered
What can start an automation from AI Law Tracker?
Any of AI Law Tracker's 1 trigger in the catalog, including New enforcement matter. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Azure Speech Service when something happens in AI Law Tracker?
Any of Azure Speech Service's 4 actions, including Convert Text to Speech, List Voices, Transcribe Audio File and Transcribe Short Audio. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure Speech Service to AI Law Tracker?
Azure Speech Service has no triggers in the catalog today, so automations start in AI Law Tracker. If you need the other direction, ask: your agent reads Azure Speech Service's API documentation and adds it.
Do I have to build a connector for AI Law Tracker or Azure Speech Service?
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 AI Law Tracker and Azure Speech Service 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.