issue-tracker-mcp
A minimal MCP server that enables AI assistants to manage a kanban issue board. It provides tools for listing, creating, updating, and deleting issues with support for both local development and team deployments.
README
issue-tracker-mcp
A minimal Model Context Protocol server that lets an AI assistant manage a kanban issue board.
It uses the streamable HTTP transport, so the same code works for local development and for a hosted deployment that a whole team connects to.
The exercise
src/server.ts has the server scaffolding and one finished tool
(list_issues) so you can see what a registration looks like. Four more tools
are left as TODO comments — your job is to implement them with
server.registerTool(...):
get_issuecreate_issueupdate_issuedelete_issue
The data layer in src/store.ts is already complete; you only need to wire it
up. After each one, restart the server and try it in the Inspector.
Stuck? The
solutionbranch has a fully working version.
Run it
npm install
npm start
# → Issue Tracker MCP server listening on http://localhost:3001/mcp
Poke it manually
The MCP Inspector is a small web UI for calling tools by hand:
npm run inspect
# then choose "Streamable HTTP" and enter http://localhost:3001/mcp
Connect a client
| Client | How |
|---|---|
| Claude Code | claude mcp add --transport http issue-tracker http://localhost:3001/mcp |
| Claude Desktop / Claude.ai | Settings → Connectors → Add custom connector → paste the URL |
Deploy for your team
This is a plain Express app. Deploy npm start to any Node host (Render,
Railway, Fly.io, Cloudflare Workers, a VPS) and share the resulting
https://…/mcp URL — everyone who adds that URL talks to the same board.
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