Integration
Connect Azure DevOps to Geneea Natural Language Processing
When Completed Build fires in Azure DevOps, your agent runs Analyze sentiment in Geneea Natural Language Processing. 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 Azure DevOps and Geneea Natural Language Processing 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 Azure DevOps can start in Geneea Natural Language Processing
When Completed Build in Azure DevOps
then Analyze sentiment in Geneea Natural Language Processing
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 Azure DevOps and Geneea Natural Language Processing
Triggers and actions 5 triggers · 14 actions
- Code Push (Git)
Triggers when commits are pushed to a Git repository in an Azure DevOps project.
- Completed Build
Triggers when a build finishes in an Azure DevOps project, with its result (succeeded, failed, partially succeeded or canceled).
- New Work Item
Triggers when a work item is created in an Azure DevOps project.
- New Work Item Comment
Triggers when someone comments on a work item in an Azure DevOps project.
- Updated Work Item
Triggers when a work item is updated in an Azure DevOps project, with the work item's current values and the list of fields that changed.
- Add Link to Work Item
Adds a link to an Azure DevOps work item: a related, parent, child, predecessor, successor or duplicate link to another work item, or a hyperlink to a web page.
- Create Work Item
Creates a new work item (such as a Task, Bug, Issue or User Story) in an Azure DevOps project.
- Find Work Item
Finds work items in an Azure DevOps project that match a Work Item Query Language (WIQL) query, returning the matching work item IDs, or the matching links for a link query.
- Trigger Build
Queues a new run of an Azure DevOps build pipeline, optionally for a specific branch or commit and with pipeline variables or parameters.
- Update Work Item
Updates an existing Azure DevOps work item: changes its title, description, state, assignee, area, iteration, priority or tags, and can add a discussion comment. Fields left blank are not changed.
- Analyze sentiment
Scores the overall sentiment of a piece of text or of the document at a URL, from -1.0 (negative) to 1.0 (positive).
- Analyze text
Runs Geneea's general NLP analysis on a document and returns its language, entities, tags, relations and sentiment.
- Analyze text batch
Submits a list of documents for NLU analysis in a single request.
- Correct text
Performs spelling and diacritics correction on input text.
- Detect language
Detects the language of a text using Geneea's analysis API.
- Extract entities
Finds the named entities (people, organizations, places, dates and more) mentioned in a text or web page.
- Extract relations
Extracts relations (for example who did what, or which attribute describes which entity) from a document using Geneea's analysis.
- Extract tags
Finds the key tags (main topics and keywords) of a document using Geneea's analysis service.
- Get account info
Returns information about the Geneea account the connection's API key belongs to.
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
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Questions
Azure DevOps and Geneea Natural Language Processing, answered
What can start an automation from Azure DevOps?
Any of Azure DevOps's 5 triggers in the catalog, including Completed Build, New Work Item, New Work Item Comment and Updated Work Item. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Geneea Natural Language Processing when something happens in Azure DevOps?
Any of Geneea Natural Language Processing's 9 actions, including Analyze sentiment, Analyze text, Analyze text batch and Correct text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Geneea Natural Language Processing to Azure DevOps?
Geneea Natural Language Processing has no triggers in the catalog today, so automations start in Azure DevOps. If you need the other direction, ask: your agent reads Geneea Natural Language Processing's API documentation and adds it.
Do I have to build a connector for Azure DevOps or Geneea Natural Language Processing?
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 Azure DevOps and Geneea Natural Language Processing 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.