Integration
Connect Airbrake and DenserChat
When New error fires in Airbrake, your agent runs Process Input Text in DenserChat, or When Question Processed by Your Chatbot in DenserChat to Record deploy in Airbrake. 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 Airbrake and DenserChat 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 Airbrake and DenserChat can do together
From Airbrake to DenserChat
When New error in Airbrake
then Process Input Text in DenserChat
When New error in Airbrake
then List conversations in DenserChat
From DenserChat to Airbrake
When When Question Processed by Your Chatbot in DenserChat
then Record deploy in Airbrake
When When Question Processed by Your Chatbot in DenserChat
then Get project in Airbrake
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 Airbrake and DenserChat
Triggers and actions 2 triggers · 16 actions
Trigger
New errorTriggered when any new error is reported.
Action
Create noticeSubmit a new error notice to Airbrake — report an error from an automation.
Action
Delete error groupDelete/resolve an Airbrake error group by id.
Action
Get error groupFetch details for a single error group.
Action
Get projectFetch details for a single project by ID.
Action
List activitiesList the audit-log activities for an Airbrake project — deploys, mutes, resolves, etc.
Action
List deploysList recorded deploys for an Airbrake project.
Action
List error groupsList error groups (aggregated errors) for a project.
Action
List noticesList individual notices (occurrences) for an error group.
Action
List projectsList all projects accessible to the authenticated user key.
Action
List source mapsList the uploaded source maps for an Airbrake project.
Action
Mute error groupMute an error group so it no longer triggers notifications.
Action
Record deployRecord a new deployment for a project (environment, revision, version, etc.).
Action
Show deployRetrieve a single Airbrake deploy by id.
Action
Unmute error groupUnmute a previously muted error group to re-enable notifications.
Trigger
When Question Processed by Your ChatbotTriggers when your chatbot processes a question, returning the conversation with its latest questions and answers.
Action
List conversationsReturns your Denser chatbot's conversations, optionally only one end user's, with their messages.
Action
Process Input TextSends a question to your Denser chatbot and returns its answer with the source passages it cited, optionally as one of your users and within an ongoing conversation.
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
Airbrake and DenserChat, answered
What can start an automation from Airbrake?
Any of Airbrake's 1 trigger in the catalog, including New error. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DenserChat when something happens in Airbrake?
Any of DenserChat's 2 actions, including List conversations and Process Input Text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DenserChat to Airbrake?
Yes. When something happens in DenserChat, your agent can act in Airbrake too. This page covers both directions: DenserChat's triggers and Airbrake's actions are listed here as well.
Do I have to build a connector for Airbrake or DenserChat?
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 Airbrake and DenserChat 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.