--- title: "Connect Bart to Ollama Model - APIANT.ai" description: "When \"New service advisory\" fires in Bart, your agent runs \"Generate chat completion\" in Ollama Model." canonical: "https://apiant.ai/connect/bart-to-ollama-model" --- # Connect Bart to Ollama Model When **New service advisory** fires in [Bart](https://apiant.ai/connections/bart), your agent runs **Generate chat completion** in [Ollama Model](https://apiant.ai/connections/ollama-model). Describe the whole flow and it is built, tested on every scenario and kept running. Bart **1** trigger Bart **8** actions Ollama Model **4** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Bart and Ollama Model to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Bart can start in Ollama Model - When **New service advisory** in Bart then **Generate chat completion** in Ollama Model - When **New service advisory** in Bart then **Generate 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 Bart and Ollama Model ## Triggers and actions 1 trigger · 12 actions - Trigger **New service advisory** Triggers when BART posts a new service advisory (delay, emergency or information notice). - Action **Find trips by origin and destination** Finds BART trips departing from an origin station to a destination station around a given time, with fares and legs for each trip. - Action **Get route** Returns details for a BART route: its name, colour, origin and destination, and the ordered list of stations it serves. - Action **Get station** Returns detailed information about a BART station, including its address, location, routes, platforms and nearby attractions. - Action **Get station schedule** Returns the full day's scheduled train departures from a BART station, with line, destination, time and platform for each. - Action **List real-time departures** Returns the current estimated departure times for trains leaving a BART station, grouped by destination. - Action **List routes** Returns the list of BART routes (lines) in service for the current or a chosen schedule date. - Action **List service advisories** Returns BART's current service advisories (delays, emergencies and general information). - Action **List stations** Returns every BART station with its full name, abbreviation, coordinates and address. - Action **Generate chat completion** Generates the next assistant message in a chat conversation using an Ollama model. - Action **Generate completion** Generates a text response from an Ollama model for a single prompt, optionally with a system prompt, images or structured output format. - Action **Get model** Returns details about a model, including its parameters, license, template, capabilities and metadata. - Action **List models** Returns the models available to your Ollama account, with each model's size, digest and family details. ## Each app on its own - [ **Bart** Real-time BART (Bay Area Rapid Transit) train schedules, arrivals, and station data API.](https://apiant.ai/connections/bart) - [ **Ollama Model** Local and cloud runtime for running open-source large language models via a REST API for chat and text...](https://apiant.ai/connections/ollama-model) Reviews ## What our customers say ## More from Bart - [ **Bart to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/bart-to-hubspot) - [ **Bart to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/bart-to-salesforce) - [ **Bart to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/bart-to-slack) - [ **Bart to Google Sheets** Google Sheets](https://apiant.ai/connect/bart-to-google-sheets) - [ **Bart to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/bart-to-gmail) - [ **Bart to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/bart-to-google-calendar) ## More into Ollama Model - [ **HubSpot to Ollama Model** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-ollama-model) - [ **Salesforce to Ollama Model** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-ollama-model) - [ **Slack to Ollama Model** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-ollama-model) - [ **Google Sheets to Ollama Model** Google Sheets](https://apiant.ai/connect/google-sheets-to-ollama-model) - [ **Gmail to Ollama Model** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-ollama-model) - [ **Google Calendar to Ollama Model** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-ollama-model) Questions ## Bart and Ollama Model, answered ### ### What can start an automation from Bart? Any of Bart's 1 trigger in the catalog, including New service advisory. 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 Bart? 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 Bart? Ollama Model has no triggers in the catalog today, so automations start in Bart. 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 Bart 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 Bart 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.