Jira Context MCP vs Task Master AI

A side-by-side comparison of two Productivity servers — tools, transport, auth, maintenance, and copy-paste config for each.

	Jira Context MCP Feed Jira ticket context to AI coding agents like Cursor and let them fix issues automatically. Unverified SSE (remote) API key Stale TypeScript	Task Master AI AI-powered task-management system for AI-driven development that drops into Cursor, Windsurf, Claude Code, and more. Unverified stdio (local) API key JavaScript
Category	Productivity	Productivity
Language	TypeScript	JavaScript
Transport	SSE (remote)	stdio (local)
Auth	API key	API key
GitHub stars	25	28k
Last commit	11 months ago	2 months ago
Verified
Actively maintained
Install	`npx -y @smithery/cli install @rahulthedevil/Jira-Context-MCP --client claude`	`npx -y task-master-ai`
Repo	Open	Open

Verdict

Pick Jira Context MCP if you want a hosted/remote server with nothing to install.

Pick Task Master AI if you prefer the more popular, battle-tested option, and you want a local (stdio) server that keeps data on your machine.

Add Jira Context MCP

Install / run

npx -y @smithery/cli install @rahulthedevil/Jira-Context-MCP --client claude

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "jira-context-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "http://localhost:3000/sse"
      ]
    }
  }
}

Claude Desktop connects to remote servers through the `mcp-remote` proxy (installed on first run via npx). Restart Claude Desktop after saving.

Add Task Master AI

Install / run

npx -y task-master-ai

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "task-master-ai": {
      "command": "npx",
      "args": [
        "-y",
        "task-master-ai"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "YOUR_ANTHROPIC_API_KEY_HERE",
        "PERPLEXITY_API_KEY": "YOUR_PERPLEXITY_API_KEY_HERE",
        "OPENAI_API_KEY": "YOUR_OPENAI_KEY_HERE",
        "GOOGLE_API_KEY": "YOUR_GOOGLE_KEY_HERE",
        "MISTRAL_API_KEY": "YOUR_MISTRAL_KEY_HERE",
        "GROQ_API_KEY": "YOUR_GROQ_KEY_HERE",
        "OPENROUTER_API_KEY": "YOUR_OPENROUTER_KEY_HERE",
        "XAI_API_KEY": "YOUR_XAI_KEY_HERE",
        "AZURE_OPENAI_API_KEY": "YOUR_AZURE_KEY_HERE",
        "OLLAMA_API_KEY": "YOUR_OLLAMA_API_KEY_HERE"
      }
    }
  }
}

FAQ

Jira Context MCP or Task Master AI — which is better?

Pick Jira Context MCP if you want a hosted/remote server with nothing to install. Pick Task Master AI if you prefer the more popular, battle-tested option, and you want a local (stdio) server that keeps data on your machine.

Can I use both Jira Context MCP and Task Master AI?

Yes — MCP clients let you enable multiple servers at once. Add both configs to your client's mcpServers and use whichever tool fits the task.

Do Jira Context MCP and Task Master AI work with Claude, Cursor and Windsurf?

Both do. Copy the per-client config below into Claude Desktop, Cursor, or Windsurf.

View Jira Context MCP →View Task Master AI →More comparisons →