Integration
Connect Bart to Infranodus
When New service advisory fires in Bart, your agent runs Compare graphs in Infranodus. 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 Bart and Infranodus 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 Bart can start in Infranodus
When New service advisory in Bart
then Compare graphs in Infranodus
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 Infranodus
Triggers and actions 1 trigger · 16 actions
- New service advisory
Triggers when BART posts a new service advisory (delay, emergency or information notice).
- 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.
- Get route
Returns details for a BART route: its name, colour, origin and destination, and the ordered list of stations it serves.
- Get station
Returns detailed information about a BART station, including its address, location, routes, platforms and nearby attractions.
- Get station schedule
Returns the full day's scheduled train departures from a BART station, with line, destination, time and platform for each.
- List real-time departures
Returns the current estimated departure times for trains leaving a BART station, grouped by destination.
- List routes
Returns the list of BART routes (lines) in service for the current or a chosen schedule date.
- List service advisories
Returns BART's current service advisories (delays, emergencies and general information).
- List stations
Returns every BART station with its full name, abbreviation, coordinates and address.
- Compare graphs
Builds knowledge graphs from two or more texts and compares them, returning the merged, overlapping (intersection) or differing concepts, topics and gaps.
- Find statements
Searches your InfraNodus graphs for statements that contain a word or concept, and returns the matching statements.
- Generate advice from graph
Analyzes one of your saved InfraNodus graphs and returns AI-generated advice, such as ideas, questions or responses that bridge the content gaps between its topics.
- Generate advice from text
Analyzes a piece of text as a knowledge graph and returns AI-generated advice, ideas or research questions based on the content gaps between its main topics.
- Generate graph from Google search results
Builds a knowledge graph of the main topics, clusters and content gaps found in the Google search results for one or more search queries.
- Generate graph from search intent
Builds a knowledge graph of the Google searches people make around your queries, showing the main topical clusters and gaps in search intent.
- Generate graph from text
Builds a knowledge graph from a text, returning its topical clusters, content gaps, main concepts and network statistics. Optionally saves the graph to your InfraNodus account.
- List graphs
Returns the knowledge graphs in your InfraNodus account, optionally filtered by name, graph type, creation date, language or favorite status.
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
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Questions
Bart and Infranodus, 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 Infranodus when something happens in Bart?
Any of Infranodus's 8 actions, including Compare graphs, Find statements, Generate advice from graph and Generate advice from text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Infranodus to Bart?
Infranodus has no triggers in the catalog today, so automations start in Bart. If you need the other direction, ask: your agent reads Infranodus's API documentation and adds it.
Do I have to build a connector for Bart or Infranodus?
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 Infranodus 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.