cascade-mcp

Cascade MCP

Cascade MCP helps you analyze Figma, Google Docs and Confluence, and write Jira tickets with AI! This open source project provides a collection of MCP (Model Context Protocol) capabilities for Bitovi's Cascading AI Enablement Initiative.

Checkout our introduction video to understand what it can do:

👉 Btw, Bitovi can help you integrate this into your own SDLC workflow: AI for Software Teams

Supported Tools

Supported tools at the https://cascade.bitovi.com/mcp endpoint:

Combined Tools (Multi-provider workflows):

• analyze-feature-scope - Generate scope analysis from Figma designs linked in a Jira epic (identifies features, establishes scope boundaries, surfaces questions before implementation)
• write-shell-stories - Generate shell stories from Figma designs linked in a Jira epic (analyzes screens, downloads assets, creates prioritized user stories using AI)
• write-epics-next-story - Write the next Jira story from shell stories in an epic (validates dependencies, generates full story content, creates Jira issue with acceptance criteria)
• write-story - Generate or refine a Jira story by gathering comprehensive context (parent hierarchy, comments, linked Figma/Confluence/Google Docs) and writing the best possible story
• extract-linked-resources - Fetch a URL (Jira issue, Confluence page, Google Doc) and return its content as markdown with YAML frontmatter listing all discovered linked resources
• review-work-item - Review a Jira work item and generate questions identifying gaps, ambiguities, and missing information (posts review as Jira comment)

Atlassian/Jira Tools:

• atlassian-get-sites - Get list of accessible Atlassian sites for the authenticated user
• atlassian-get-issue - Retrieve complete details of a Jira issue by ID or key, including description, attachments, comments, and full field data
• atlassian-get-attachments - Fetch Jira attachments by attachment ID (returns base64-encoded content)
• atlassian-update-issue-description - Update a Jira issue description with markdown content (automatically converted to ADF)
• atlassian-add-comment - Post a comment to a Jira issue (markdown automatically converted to ADF)
• atlassian-update-comment - Update an existing Jira comment (markdown automatically converted to ADF)
• confluence-analyze-page - Fetch a Confluence page, convert to markdown, score relevance with LLM, and cache the result
• search - Search Jira issues using JQL (Jira Query Language) with standardized document format output
• fetch - Fetch Jira issue details by issue key/ID in standardized document format (ChatGPT-compatible)