Cycle + Atlassian MCP Integrations
Put Cycle + Atlassian MCP to work with AI and enterprise-grade automation
4.9/5 on G2·
Google for Startups Accelerator
Workflows you can build between Cycle and Atlassian MCP
See the kind of workflows teams build with Cycle and Atlassian MCP below — describe the exact one you want above and the Agent builds it on demand.
Automatically analyze and tag new project tasks
When a new task is created in Cycle, send its details to Atlassian MCP to automatically classify the project scope and extract key priorities.
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Log AI generation results into project tasks
Whenever a new completion finishes generating in Atlassian MCP, automatically add the generated text as a comment on the corresponding task in Cycle.
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Generate executive summaries from task commentary
When a new comment is added to a task in Cycle, send the text to Atlassian MCP to summarize the discussion for quick decision-making.
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Browse the full workflow library →
Looking to achieve something else with Cycle and Atlassian MCP?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Cycle and Atlassian MCP
Everything Cycle and Atlassian MCP can do inside a workflow — the triggers that start one and the actions that run when it fires.
Cycle Explore Cycle →
Cycle is a product management platform that aggregates customer feedback and connects user insights directly to product development workflows.
TriggersList the assignees related to the product
Create a new feedback
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.
Other Project Management apps on Knit
Explore more Project Management integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
10,000ft
A high-level resource management and project planning software designed to help businesses manage team capacity and project forecasts.
ActiveCollab
A project management and collaboration software that helps teams organize work tasks, track time, and invoice client work.
Acute
Acute is a product feedback management software that allows SaaS teams to collect feature requests, prioritize roadmaps, and engage users.
adam.ai
A meeting intelligence platform that helps teams organize meeting agendas, record key decisions, and manage actionable project tasks.
AdaptiveWork
AdaptiveWork is an enterprise project and portfolio management solution that helps teams track work, resources, and project status.
Agiled
An all-in-one business management platform offering project planning, client management, invoicing, time tracking, and HR management.
Aha!
A product roadmap and strategic planning software that helps product teams outline strategy, capture ideas, and manage feature releases.
airfocus
airfocus is product strategy and project management software that helps teams prioritize tasks and build visual product roadmaps.
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.
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 Cycle + Atlassian MCP
Is there a pre-built Cycle + Atlassian MCP automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Cycle and Atlassian MCP's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Cycle or Atlassian MCP connector?
No. The Agent works whether or not Cycle or Atlassian MCP 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.
What's the most common AI Models + Project Management automation?
Having Atlassian MCP summarize sprint or board status from Cycle for a stakeholder update, or draft a task description from a short prompt.
Can this suggest task priority or assignee automatically?
Yes — Atlassian MCP can read existing workload and task data from Cycle to suggest a priority or assignee, which a human can accept or override.