productivity

GitHub Kanban

by sunwood-ai-labs

Boost agile software development with Kanban boards integrated into GitHub for efficient project management and powerful

Integrates with GitHub's API to enable Kanban-style project management and issue tracking for streamlined software development workflows.

github stars

9

Full GitHub API integrationLLM-powered task management

best for

  • / Software development teams using GitHub
  • / Project managers tracking issue progress
  • / Developers wanting Kanban workflow on GitHub

capabilities

  • / Manage GitHub issues as Kanban boards
  • / Create and update issue labels
  • / Add comments to issues
  • / Track project progress visually
  • / Automate task status updates

what it does

Connects to GitHub's API to manage issues in Kanban board format with automated task tracking.

about

GitHub Kanban is a community-built MCP server published by sunwood-ai-labs that provides AI assistants with tools and capabilities via the Model Context Protocol. Boost agile software development with Kanban boards integrated into GitHub for efficient project management and powerful It is categorized under productivity.

how to install

You can install GitHub Kanban 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

GitHub Kanban 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 repository

FAQ

What is the GitHub Kanban MCP server?
GitHub Kanban 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 GitHub Kanban?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    GitHub Kanban is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated GitHub Kanban against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: GitHub Kanban is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    GitHub Kanban reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend GitHub Kanban for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: GitHub Kanban surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    GitHub Kanban has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, GitHub Kanban benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired GitHub Kanban into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    GitHub Kanban is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.