backlog-mcp
Related Servers
Alternatives to backlog-mcp
- -
- AlicenseBqualityCmaintenanceEnables control and interaction with Jira through the Jira Command Line interface, allowing users to manage Jira tasks and operations through natural language commands.37MIT
- AlicenseAqualityNot gradedmaintenanceEnables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.627 npm3-
Related Servers
- FlicenseNot gradedqualityCmaintenanceMCP server for managing a project backlog as Markdown files in Git, enabling AI agents to read, create, and update tasks programmatically.2-
- AlicenseAqualityAmaintenanceRepository-native protocol and MCP server for coordinating work items, documentation, changelogs, and project memory between humans and AI agents, using Markdown files in a Git repository as the canonical data source.303MIT
- AlicenseNot gradedqualityBmaintenanceA local, project-scoped requirement management MCP server that enables AI agents to manage tasks and requirements via SQLite.8 npmMIT
- AlicenseAqualityBmaintenanceA Jira-lite MCP server that enables planning-first workflows for AI-assisted development. It manages tickets as markdown files with YAML frontmatter, guiding agents through epics, stories, tasks, and architecture decision records.17MIT
- AlicenseBqualityBmaintenanceAn MCP server that gives LLM agents structured, safe, and traceable access to engineering project documentation stored in Markdown/Git repositories, enabling management of requirements, decisions, tests, tasks, and impact analysis.146 npmMIT
- AlicenseNot gradedqualityDmaintenanceA file-backed MCP server for hierarchical project management that enables AI assistants to create, claim, and complete tasks within a project→epic→feature→task structure, with dependency management and Markdown-based storage.MIT
TDQS
Scored across 16 tools
Most tools target distinct resources/actions, but there is some overlap between single-item and bulk operations (e.g., set_story_status vs. bulk_update_stories; check_acceptance_criterion vs. bulk_update_acceptance_criteria). The descriptions mitigate this by clarifying scope and validation behavior, so an agent could usually select correctly with careful reading.
Tool names consistently follow a verb_noun snake_case pattern (get_story, create_epic, set_story_status, bulk_update_epics, reorder_backlog). Even less common verbs like groom_epic and complete_story fit the same pattern, making the naming convention predictable and coherent.
Sixteen tools is slightly above the typical well-scoped range, but the server covers epics, stories, statuses, acceptance criteria, notes, batching, and backlog ordering. A few bulk operations feel redundant with single-item variants, but overall the count is still appropriate for the domain.
The set covers creation, reading, status updates, acceptance criteria management, note-taking, completion, grooming, and reordering. However, there are notable gaps: no way to delete or truly edit an epic/story, no dedicated tool to fetch a single epic's full content, and no direct story content update beyond status/AC/notes, which agents may need for full lifecycle management.