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Share notes, API contracts, and handoff updates across projects with version tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Project Bridge" yet — see the docs or source repo.
Set up a shared API contract record for Project A and Project B. Organize these endpoints, field definitions, version changes, and owners into a structured handoff note.
A normalized API contract document with version info, field definitions, and owners.
Turn the current project's progress, open tasks, risks, and key decisions into a shareable handoff message, and mark who should be tracked for read status.
A structured handoff record for teammates to review, acknowledge, and follow up on.
Aggregate shared notes from multiple projects, group them by topic, preserve version history, and identify which items have not been read by relevant members.
A topic-based notes summary with version history and unread status details.
Connect AI assistants to Jira, GitLab, and Confluence through one unified interface.
Dynamically bridge and register MCP capabilities with two-way client communication.
Manage project tasks, milestones, decisions, and team messaging via MCP.
Share memory across chats, delegate tasks, and orchestrate parallel AI workflows.
Build MCP servers quickly to expose app data and actions to AI clients.
Save and search project notes and design decisions in tracked local storage.