Persistent AI memory for coding assistants - MCP server providing context persistence across sessions for Claude, Cursor, Windsurf. MCP Tools for task tracking, workflow automation, and AI memory. Eliminates context loss between sessions.
git clone https://github.com/jpicklyk/task-orchestrator.gitPersistent AI memory for coding assistants - MCP server providing context persistence across sessions for Claude, Cursor, Windsurf. MCP Tools for task tracking, workflow automation, and AI memory. Eliminates context loss between sessions.
[{"step":"Initialize the MCP server in your development environment (VS Code with Cursor/Windsurf or Claude with MCP support). Ensure the task orchestrator plugin is installed and configured with your project's repository path.","tip":"Use the MCP inspector tool to verify the server is running before proceeding. Check logs for any initialization errors."},{"step":"Load your project context into the orchestrator using the 'sync_project' command. This will scan your repository for existing tasks, issues, or TODO comments and populate the persistent memory.","tip":"For large projects, run this during a low-activity period. The sync may take several minutes depending on repository size."},{"step":"Use the 'update_task' command to modify task statuses as you work. Include specific details about progress, blockers, or completion. Reference task IDs or descriptions for updates.","tip":"Be consistent with task naming conventions. Use the same identifiers across sessions to maintain continuity."},{"step":"Query the task status regularly using 'get_status' or 'list_tasks' commands. Filter by priority or status to focus on critical items.","tip":"Set up periodic reminders (e.g., every 2 hours) to update task statuses, especially for long-running tasks."},{"step":"Export the task state before ending your session using 'export_state' to ensure all context is preserved for the next session.","tip":"Store exported states in a dedicated directory within your project (e.g., `.mcp/tasks/`). Version control these exports for historical tracking."}]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/jpicklyk/task-orchestratorCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a persistent task orchestrator for [PROJECT_NAME]. Use the MCP server to track all active tasks, their statuses, and dependencies. For each task, provide: 1) A clear description, 2) Current status (Not Started/In Progress/Blocked/Completed), 3) Priority (High/Medium/Low), 4) Estimated effort (in hours), and 5) Next action required. Reference previous session context where available. Current date: [DATE].
## Project: E-Commerce API Refactor **Task Tracker (Last Updated: 2024-06-15)** ### 🔴 High Priority 1. **Database Migration to PostgreSQL** - Status: Blocked (Waiting on DBA approval) - Effort: 8 hours - Next Action: Follow up with @dba-team on approval timeline - Blocked by: Infrastructure provisioning delay (Ticket #API-452) 2. **Implement Rate Limiting Middleware** - Status: In Progress (PR #789 open) - Effort: 5 hours - Next Action: Address review comments from @security-team ### 🟡 Medium Priority 3. **Add OpenAPI Documentation** - Status: Not Started - Effort: 4 hours - Next Action: Generate initial Swagger spec from existing endpoints 4. **Optimize Product Search Queries** - Status: Completed (PR #787 merged) - Effort: 6 hours - Next Action: Verify performance improvements in staging ### 🟢 Low Priority 5. **Setup CI/CD Pipeline for Staging** - Status: Not Started - Effort: 12 hours - Next Action: Create GitHub Actions workflow template **Dependencies:** - Database migration must complete before search optimization testing - Rate limiting must be implemented before load testing **Recent Activity:** - 2024-06-14: Completed authentication token refresh logic (PR #786) - 2024-06-13: Identified search query bottleneck in staging logs
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