MCP server for Kaiten — cards, time-logs, boards, comments, users
Issues, boards and sprints.
MCP server for Kaiten — cards, time-logs, boards, comments, users
MCP server that lets agents work inside your OpenProject instance, following your workplace's written conventions
MCP server for Kaiten API integration with Claude - Production-ready with Token Economy (90% savings), Verbosity control, Response formats, Logging & Monitoring
Tempo — a personal, chat-driven work tracker. Narrate your work to an agent; it appends an event log and derives your board, time, and plans. Runs as a local MCP server for Claude Code.
The shared work-management office for AI agents — projects, tasks, decisions, knowledge, handoffs.
MCP server for Huly: read and write Huly documents, issues, labels, and comments from Claude Desktop, Claude Code, Pi, or any MCP client
MCP (Model Context Protocol) server for YouGile — connect an AI agent to your YouGile boards and tasks (read + safe writes). Supports stdio (local) and Streamable HTTP (remote) transports.
MCP server for PLANKA kanban boards
On-demand ticket planning via MCP, no cron / no per-project install.
MCP server: convert Markdown to Slack, Teams, Jira, and plain text
Seamlessly integrate ZenTao with OpenClaw. A powerful MCP server and CLI tool providing intelligent ChatOps capabilities for ZenTao project management.
A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with Atlassian's ACLI ROVODEV for AI-powered development assistance.
MCP server for Kodebase — fetch tasks, comments, feedback, and create pull requests from Claude Code
MCP server for GLPI — tickets, followups, tasks, solutions, problems, changes, assets, knowledge base, contracts, projects (core/full toolsets), with automatic session renewal on HTTP 401
MCP server for autonomous PRD execution with Claude Code. Git worktree isolation, progress tracking, auto-merge.
Multi-provider AI tooling platform with MCPs, agents, skills, and commands
Local MCP server for Jira worklogs, issue updates, and Bitbucket pull requests, with previews and configurable permissions.
AI agent skill: issue tracker → recon → approved plan → code fix → pull request, with human gates. Tracker- and host-agnostic.
Fetch Jira Cloud issues into Markdown files with frontmatter and attachments — a CLI and MCP server for AI agents.
Context-aware, memory-driven developer assistant with Jira + Git integration, smart ticket guidance, persistent preferences, and intelligent workflow automation