Atlassian MCP + Confluence Cloud Integrations
Put Atlassian MCP + Confluence Cloud to work with AI and enterprise-grade automation
Learn more about Atlassian MCP integrations or talk to a human
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Workflows you can build between Atlassian MCP and Confluence Cloud
See the kind of workflows teams build with Atlassian MCP and Confluence Cloud below — describe the exact one you want above and the Agent builds it on demand.
Atlassian MCP + Confluence Cloud
When a new Jira issue is created in Atlassian MCP, automatically record or update the issue details in Confluence Cloud.
Summarize team updates automatically
When a new post is shared in Confluence Cloud, use Atlassian MCP to summarize the text and post the digest back to the team workspace.
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Post alert when model training finishes
When a fine-tune job is completed in Atlassian MCP, automatically share a post in Confluence Cloud to notify developers.
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Extract tasks from team feedback
When a new comment is posted in Confluence Cloud, pass the text to Atlassian MCP to extract key tasks and automatically create them in Confluence Cloud.
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Browse the full workflow library →
Looking to achieve something else with Atlassian MCP and Confluence Cloud?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Atlassian MCP and Confluence Cloud
Everything Atlassian MCP and Confluence Cloud can do inside a workflow — the triggers that start one and the actions that run when it fires.
Atlassian MCP Explore Atlassian MCP →
Atlassian MCP is a Model Context Protocol server connecting AI assistants directly to Atlassian products like Jira and Confluence.
TriggersTriggers when a new Jira issue is created. Use JQL for advanced filtering or leave blank for basic filtering.
Triggers when an existing Jira issue is updated.
Add a rich-text comment to an existing Jira issue.
Create a new Jira issue with summary, assignee details, and custom fields.
Update an existing Jira issue's fields such as summary, description, or custom values.
Move a Jira issue to a new status and include any required transition fields.
Confluence Cloud Explore Confluence Cloud →
A cloud-hosted wiki and documentation workspace designed for teams to create, collaborate on, and store project knowledge.
Knit's Integrations Agent builds Confluence Cloud's triggers and actions on demand — describe the automation in plain English and it writes and runs real code against Confluence Cloud's API.
Other AI Models apps on Knit
Explore more AI Models integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
AI Scraper by Parsera
AI Scraper by Parsera is an automated web scraping tool that extracts structured data from websites using artificial intelligence.
AKOOL Open
AKOOL is a generative artificial intelligence platform providing tools for face swapping, avatar generation, and visual media creation.
API Labz
API Labz is a cloud platform offering artificial intelligence APIs and automated backend tools for software application development.
AssemblyAI
AssemblyAI is an artificial intelligence speech recognition platform offering transcription, audio intelligence, and speech-to-text API models.
Azure OpenAI
A cloud service providing enterprise access to OpenAI's advanced language models with built-in security and compliance controls.
Chat Data
Chat Data is an AI chatbot builder that allows users to create custom conversational agents trained on their own data.
Claude
Anthropic Claude is an artificial intelligence language model designed to perform conversational reasoning, text generation, and complex data analysis tasks.
Clerk
Clerk is an AI safety platform that detects, monitors, and moderates content to ensure compliance in artificial intelligence workflows.
Other Team Collaboration apps on Knit
Explore more Team Collaboration integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
Assembly
Assembly is a workplace engagement and recognition platform designed to reward employees and foster team collaboration.
Beekeeper
Beekeeper is a team collaboration and mobile communication platform designed to connect frontline employees with operational news and workplace tools.
Blink
Blink is an employee app and frontline collaboration platform that connects workforce teams through newsfeeds, messaging, and access to documents.
BlogIn
BlogIn is an internal company blog software that acts as an internal knowledge base and team news sharing tool.
Bonusly
An employee recognition and rewards platform that enables peers to celebrate achievements and exchange praise.
Brief
Brief is a productivity and team collaboration tool combining group messaging, video calling, task management, and file sharing.
Chatter
An enterprise social network built into Salesforce for internal team messaging, file sharing, and project updates.
Clinked
Clinked is a cloud-based client portal and collaboration platform for sharing files, managing projects, and communicating with clients.
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about Atlassian MCP + Confluence Cloud
Is there a pre-built Atlassian MCP + Confluence Cloud automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Atlassian MCP and Confluence Cloud's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Atlassian MCP or Confluence Cloud connector?
No. The Agent works whether or not Atlassian MCP or Confluence Cloud already has a pre-built connector in Knit's catalog — it researches the real API surface either way.
How long does it take to build?
Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.
How can AI models enhance collaboration tool workflows?
AI can analyze long posts, extract key tasks, and automatically summarize project updates for quick consumption.
What happens if an AI model run fails during an automated process?
You can configure alerts or fallback posts in Confluence Cloud whenever Atlassian MCP encounters a failed run.