Backlog integrates project issue tracking software and collaboration for efficient task management directly in conversat
by fleagne·Updated Apr 13, 2026Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Anytype
Transform any OpenAPI specification into callable tools. Easily test an API, handle authentication, and generate schemas
Excel
Unlock powerful Excel automation: read/write Excel files, create sheets, and automate workflows with seamless integratio
Obsidian Vault
Interact with your Obsidian vault for powerful note taking, file operations, and metadata management using the Obsidian
Excel File Manipulation
Automate Excel file tasks without Microsoft Excel using openpyxl and xlsxwriter for formatting, formulas, charts, and ad
Asana
MCP server for Asana — enables Claude to interact with Asana data and workflows.
I recommend Backlog for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Backlog is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Backlog is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Backlog benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Backlog reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We evaluated Backlog against two servers with overlapping tools; this profile had the clearer scope statement.
Backlog has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Backlog is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Backlog for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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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Claude Desktop configuration
{
"mcpServers": {
"backlog": {
"command": "npx",
"args": [
"-y",
"backlog-mcp-server"
],
"env": {
"BACKLOG_API_KEY": "YOUR_API_KEY_HERE",
"BACKLOG_SPACE_ID": "YOUR_SPACE_ID_HERE"
}
}
}
}Connects to Backlog's project management platform to manage issues, wikis, and project resources through API integration.
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.
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.
README content is unavailable from source data for this server.
Open GitHub repository →Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Atlassian Cloud
Access Confluence pages and Jira in the cloud with Atlassian API. Integrate effortlessly using the REST API for Jira.