Backlog MCP Server
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Alternatives to Backlog MCP Server
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Related Servers
- -licenseNot gradedqualityNot gradedmaintenanceA Model Context Protocol server that enables AI agents to interact with Backlog API for managing projects, issues, wikis, Git repositories, and other Backlog features.-
- FlicenseNot gradedqualityDmaintenanceIntegrates Backlog project management with Claude via Model Context Protocol, enabling access to projects, issues, and wiki pages through natural language interactions.1-
- AlicenseBqualityDmaintenanceProvides access to Backlog API for project management, issue tracking, and file operations through Claude Desktop.8011MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol server that enables Claude Code to directly interact with Redmine project management systems, supporting issue management, project operations, and search features.229MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.6 npmMIT
- FlicenseNot gradedqualityCmaintenanceExposes Backlog project management as tools for Claude Desktop, enabling search and management of issues, comments, wiki pages, milestones, custom fields, notifications, and more.-
TDQS
Scored across 64 tools
Most tools clearly target a distinct resource and action, such as get_issue vs. add_issue_comment vs. get_pull_request_comments. A few boundaries could still be confused, especially the mixed count/list tools and version/milestone operations like get_version_milestone_list vs. delete_version.
The dominant pattern is verb_noun, but counting tools are inconsistent: count_issues, count_notifications, get_pull_requests_count, get_wikis_count, and get_watching_list_count all use different structures. There are also singular/plural mismatches such as get_git_repositories vs. get_git_repository and delete_version vs. the version_milestone naming elsewhere.
64 tools is excessive for an MCP server even given Backlog's broad surface area. The set includes many narrow list/count variants, and the cognitive load is high for an agent selecting among them.
Core issue workflows are well covered, including CRUD, comments, related issues, watching, wiki, pull requests, and documents. However, notable gaps remain: documents lack update/delete and comment creation, several metadata resources are read-only, and wiki/project/pull-request deletion or merge operations are absent.