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Connect AI assistants to Jira, GitLab, and Confluence through one unified interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Bridge-MCP" yet — see the docs or source repo.
Using Bridge-MCP, summarize the current release status: read Jira issues tagged for this sprint, related GitLab merge requests and deployment records, and the Confluence release notes draft. Produce an English status summary with completed items, risks, and open questions.
A release status summary combining project progress, code changes, and documentation details.
Use Bridge-MCP to investigate this production bug: first check the Jira ticket description and assignee, then review recent related GitLab commits and MR discussions, and finally look for relevant design or operations notes in Confluence. Output the context, likely causes, and recommended next steps.
A cross-source bug analysis summary with recommendations from tickets, repositories, and docs.
Using Bridge-MCP, create project handoff notes: compile in-progress Jira tasks, the main GitLab repository structure and recently active branches, and key Confluence pages. Output an onboarding guide and priority watchouts for a new team member.
A project handoff and onboarding document that helps new members get started quickly.
Connect Confluence and Jira for project context, issue management, and documentation.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.
Safely let AI agents search, comment on, and transition Jira issues.
Build MCP servers quickly to expose app data and actions to AI clients.
Let AI securely query, create, and manage Jira and Confluence content.
Lets AI read and manage GitLab projects, MRs, issues, and pipelines.