--- title: "Connect Airparser to Qase - APIANT.ai" description: "When \"Document Parsed\" fires in Airparser, your agent runs \"Add project\" in Qase." canonical: "https://apiant.ai/connect/airparser-to-qase" --- # Connect Airparser to Qase When **Document Parsed** fires in [Airparser](https://apiant.ai/connections/airparser), your agent runs **Add project** in [Qase](https://apiant.ai/connections/qase). Describe the whole flow and it is built, tested on every scenario and kept running. Airparser **1** trigger Airparser **9** actions Qase **27** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Airparser and Qase 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 Airparser can start in Qase - When **Document Parsed** in Airparser then **Add project** in Qase - When **Document Parsed** in Airparser then **Add defect** in Qase 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 Airparser and Qase ## Triggers and actions 1 trigger · 36 actions - Trigger **Document Parsed** Triggers when Airparser finishes parsing a document in the chosen inbox, giving you the extracted data. - Action **Create an Inbox** Creates a new Airparser inbox that documents can be sent to for parsing. - Action **Create or Update Extraction Schema** Sets which fields Airparser should pull out of documents sent to an inbox, replacing whatever schema was there before. - Action **Delete an Inbox** Deletes an Airparser inbox and the documents stored in it. - Action **Extract Data From a Document** Sends a document to an Airparser inbox, waits for it to be parsed, and returns the extracted data. - Action **Extract Data From a Document (Async)** Sends a document to an Airparser inbox and returns straight away without waiting for parsing. Use the Document Parsed trigger or Get Document to pick up the result. - Action **Get a Document** Returns a parsed Airparser document, including the data extracted from it. - Action **Get an Inbox** Returns one Airparser inbox with its settings, its email address prefix and its current extraction schema. - Action **List Documents** Lists the documents in an Airparser inbox, with the data extracted from each one. - Action **List Inboxes** Lists all the Airparser inboxes in the connected account. - Action **Add defect** Adds a new defect to a Qase project. - Action **Add milestone** Creates a milestone in a Qase project. - Action **Add project** Create a new project. - Action **Add run** Create a new test run in a project. - Action **Add test case** Create a new test case in a project. - Action **Add test run result** Create a result for a test run. - Action **Complete run** Mark a specific test run as completed. - Action **Delete project** Delete a project by code. - Action **Delete run** Delete a test run by id. - Action **Delete test case** Delete a test case by id. - Action **Find entities by QQL** Searches Qase test cases, defects, runs, results, plans or requirements with a Qase Query Language (QQL) expression. - Action **Get defect** Get a specific defect by id. - Action **Get project** Get a project by its code. - Action **Get run** Retrieves a specific test run in a Qase project, including its status, statistics, environment, milestone, tags and custom field values. - Action **Get test case** Get a specific test case by id. - Action **Get test run result** Get a test run result by hash code. - Action **List defects** Returns all defects in a Qase project, optionally filtered by status. - Action **List milestones** Get all milestones in a project. - Action **List projects** Lists every project available to the connected Qase account. - Action **List runs** Get all test runs in a project. - Action **List test cases** Get all test cases in a project. - Action **List test run results** Get all results for a project's test runs. - Action **Resolve defect** Marks a specific defect in a Qase project as resolved. - Action **Update defect** Update an existing defect. - Action **Update run** Update a specific test run. - Action **Update test case** Updates an existing test case in a Qase project. Only the fields you fill in are changed. - Action **Update test run result** Update a test run result. ## Each app on its own - [ **Airparser** Airparser is an LLM-powered data extraction tool that extracts structured data from emails, PDFs, documents...](https://apiant.ai/connections/airparser) - [ **Qase** Test management platform for organizing test cases, tracking manual and automated test runs, and reporting...](https://apiant.ai/connections/qase) Reviews ## What our customers say ## More from Airparser - [ **Airparser to Action1** Action1 is an autonomous endpoint management platform -cloud-native, scalable, secure, set up in 5 minutes...](https://apiant.ai/connect/airparser-to-action1) - [ **Airparser to Algebras** Algebras is an agentic machine translation engine empowered with LLMs, supporting 100k+ language translation...](https://apiant.ai/connect/airparser-to-algebras) - [ **Airparser to PassEngine** PassEngine is a platform for creating and managing virtual membership cards and QR passes for events...](https://apiant.ai/connect/airparser-to-passengine) - [ **Airparser to Password Pusher** Creates encrypted, self-destructing links for one-time sharing of passwords and sensitive text or files.](https://apiant.ai/connect/airparser-to-password-pusher) - [ **Airparser to Pickaxe** Pickaxe is a simple, no-code platform to build, launch, and sell AI products.](https://apiant.ai/connect/airparser-to-pickaxe) - [ **Airparser to Transport for Los Angeles, US** LA Metro's developer API publishes real-time and static data for bus and rail service in Los Angeles County.](https://apiant.ai/connect/airparser-to-transport-for-los-angeles-us) ## More into Qase - [ **Salesforce to Qase** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-qase) - [ **HubSpot to Qase** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-qase) - [ **Slack to Qase** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-qase) - [ **Google Sheets to Qase** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-qase) - [ **Gmail to Qase** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-qase) - [ **Google Calendar to Qase** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-qase) Questions ## Airparser and Qase, answered ### ### What can start an automation from Airparser? Any of Airparser's 1 trigger in the catalog, including Document Parsed. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Qase when something happens in Airparser? Any of Qase's 27 actions, including Update defect, Update run, Update test case and Update test run result. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Qase to Airparser? Qase has no triggers in the catalog today, so automations start in Airparser. If you need the other direction, ask: your agent reads Qase's API documentation and adds it. ### ### Do I have to build a connector for Airparser or Qase? 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 Airparser and Qase 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.