Integration
Connect rasa.io to Ollama Model
When New Insights Action fires in rasa.io, your agent runs Generate chat completion in Ollama Model. 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 rasa.io and Ollama Model 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 rasa.io can start in Ollama Model
When New Insights Action in rasa.io
then Generate chat completion in Ollama Model
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 rasa.io and Ollama Model
Triggers and actions 3 triggers · 14 actions
- New Insights Action
Triggers when a contact performs a new engagement action, such as a click or open, on the selected newsletter.
- New Insights Topics
Triggers when a newsletter subscriber gets a new weekly topic cloud, showing the topics and categories they engage with.
- New Person
Triggered when a new person is added to your rasa.io contacts, optionally only within a chosen list.
- Add list
Creates a new mailing list in the rasa.io account and returns the new list's id.
- Create or Update Person
Creates a contact for the email address, or updates the existing active contact with that email, and returns the contact.
- Delete contact
Permanently deletes a contact and the personal data held for them across this account's newsletters. A contact that cannot be fully deleted is archived instead.
- Get contact
Returns a single contact by ID, including its subscriptions, external identifiers and custom attributes. An error occurs if the contact is not found.
- Get newsletter
Returns a single newsletter by ID, including its associated lists and subscription types.
- List contacts
Returns the contacts in the rasa.io account, optionally narrowed to one list or to contacts matching an external system identifier.
- List newsletters
Returns all active newsletters in your rasa.io account, including their associated lists and subscription types.
- List segments
Returns the segments defined on your rasa.io account, including each segment's code, name, description and any account-level attribute rule.
- List subscription types
Returns all active subscription types in your rasa.io account, along with their active integration mappings.
- Remove contact from list
Removes a contact from a list. The contact itself is kept and stays on any other lists.
- Generate chat completion
Generates the next assistant message in a chat conversation using an Ollama model.
- Generate completion
Generates a text response from an Ollama model for a single prompt, optionally with a system prompt, images or structured output format.
- Get model
Returns details about a model, including its parameters, license, template, capabilities and metadata.
- List models
Returns the models available to your Ollama account, with each model's size, digest and family details.
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
rasa.io and Ollama Model, answered
What can start an automation from rasa.io?
Any of rasa.io's 3 triggers in the catalog, including New Insights Action, New Insights Topics and New Person. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Ollama Model when something happens in rasa.io?
Any of Ollama Model's 4 actions, including Generate chat completion, Generate completion, Get model and List models. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Ollama Model to rasa.io?
Ollama Model has no triggers in the catalog today, so automations start in rasa.io. If you need the other direction, ask: your agent reads Ollama Model's API documentation and adds it.
Do I have to build a connector for rasa.io or Ollama Model?
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 rasa.io and Ollama Model 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.