Integration
Connect Feathery to innoChat
When Data Received fires in Feathery, your agent runs Send Message in innoChat. 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 Feathery and innoChat 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 Feathery can start in innoChat
When Data Received in Feathery
then Send Message in innoChat
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 Feathery and innoChat
Triggers and actions 2 triggers · 33 actions
- Data Received
Triggers when an end user submits or updates data on a Feathery form.
- Form Completion
Triggers when an end user completes a Feathery form.
- Create Hidden Field
Creates a hidden field in your Feathery account.
- Create or Fetch User
Creates a Feathery end user with the given ID, or returns the existing user, including its SDK key.
- Create or Update Submission
Sets field values for a Feathery user and initializes submissions on the given forms.
- Delete User
Deletes a Feathery end user and their submissions.
- Get User Field Data
Returns every field value a Feathery user submitted across forms.
- Get User Form Session
Returns a Feathery user's form session: every form they are working on and their progress.
- List Document Templates
Returns document templates uploaded by your Feathery team, optionally filtered by name or tags.
- List Forms
Returns your Feathery forms, optionally filtered by tags or active status.
- List Form Submissions
Returns submissions for a Feathery form, optionally filtered by user, completion and update time.
- List Hidden Fields
Returns all hidden fields in your Feathery account.
- List Users
Returns your Feathery end users, optionally filtered by creation time or a field value.
- Add agent
Create an agent on an innoChat chatbot. New agents are created disabled.
- Add chatbot
Create a chatbot that belongs to the authenticated innoChat user.
- Add file source
Uploads a file as a new data source on an innoChat chatbot.
- Add QA source
Adds a question-and-answer pair as a data source to an innoChat chatbot.
- Add session
Creates a new chat session for an innoChat chatbot, optionally seeded with initial variables.
- Add source tag
Create a source tag on an innoChat chatbot, used to organize the chatbot's data sources.
- Add URL source
Adds a web page URL as a training data source for an innoChat chatbot.
- Delete agent
Deletes an agent from your innoChat account.
- Delete message
Deletes a single message by its UUID.
- Delete session
Deletes a chat session by its UUID.
- Delete source
Delete a single data source by uuid.
- Get chatbot
Fetch a single chatbot by its uuid.
- Get session
Fetch a single chatbot session by its uuid.
- List agents
Lists every agent configured on an innoChat chatbot.
- List chatbots
Lists all chatbots belonging to the connected innoChat account.
- List messages
Lists every message (user query and chatbot response) in an innoChat chat session.
- List sessions
Fetch the list of sessions for a chatbot specified by chatbot uuid.
- List sources
Lists the data sources trained into an innoChat chatbot.
- List source tags
List all source tags for a chatbot.
- Send Message
Sends a message to a chatbot session and returns the chatbot's reply.
- Update agent
Updates an existing innoChat agent's name, prompt, description, model, enabled state, data sources, variables, tags and other settings. Only the fields you fill in are changed.
- Update chatbot
Update a chatbot's name and settings (visibility, rate limit, rate limit message, citations) by its uuid.
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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More into innoChat
Questions
Feathery and innoChat, answered
What can start an automation from Feathery?
Any of Feathery's 2 triggers in the catalog, including Data Received and Form Completion. Describe the moment in plain language and your agent picks the right one.
What can your agent do in innoChat when something happens in Feathery?
Any of innoChat's 22 actions, including Send Message, Update agent, Update chatbot and Add agent. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from innoChat to Feathery?
innoChat has no triggers in the catalog today, so automations start in Feathery. If you need the other direction, ask: your agent reads innoChat's API documentation and adds it.
Do I have to build a connector for Feathery or innoChat?
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 Feathery and innoChat 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.