Backlog▌
by fleagne
Backlog integrates project issue tracking software and collaboration for efficient task management directly in conversat
Integrates with Backlog API to enable project management tasks including issue tracking, wiki editing, and resource management directly within conversation workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Development teams using Backlog for project management
- / Automating issue creation and updates
- / Integrating project management into chat workflows
capabilities
- / Create and update project issues
- / Edit and manage wiki pages
- / Track issue status and assignments
- / Access project resources and files
- / Manage project milestones and versions
what it does
Connects to Backlog's project management platform to manage issues, wikis, and project resources through API integration.
about
Backlog is a community-built MCP server published by fleagne that provides AI assistants with tools and capabilities via the Model Context Protocol. Backlog integrates project issue tracking software and collaboration for efficient task management directly in conversat It is categorized under productivity.
how to install
You can install Backlog in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Backlog is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Backlog MCP server?
- Backlog is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Backlog?
- This profile displays 50 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★50 reviews- ★★★★★Lucas Flores· Dec 24, 2024
I recommend Backlog for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yuki Mehta· Dec 8, 2024
Backlog is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Hiroshi Bhatia· Nov 27, 2024
Backlog is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kofi Singh· Nov 15, 2024
According to our notes, Backlog benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Anika Diallo· Nov 11, 2024
Backlog reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yuki Torres· Oct 18, 2024
We evaluated Backlog against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Yuki Iyer· Oct 6, 2024
Backlog has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kofi Nasser· Oct 2, 2024
Useful MCP listing: Backlog is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Sep 25, 2024
I recommend Backlog for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Yuki Menon· Sep 25, 2024
Backlog is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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