Grok CLI Gets MCP Support

Last week, something unexpected happened. Grok CLI – our conversational AI command-line tool – exploded in popularity among developers. The response was overwhelming: thousands of installs, active community discussions, and feature requests pouring in.

The message was clear: developers want AI that seamlessly integrates into their existing workflows, not just isolated sandbox environments.

So we listened. And we're doubling down.

From Sandboxes to Ecosystem

VibeKit was born from a core belief: every application will need a coding agent in the future. Whether you're building a dedicated coding environment like Replit, Cursor, or Devin, or embedding intelligent code generation into traditional applications, the demand for AI-powered coding assistance is rapidly growing.

We created VibeKit to address this inevitable shift – providing developers with secure, pluggable sandboxes that make it easy to integrate OpenAI Codex and Claude Code agents into any application. But when Grok CLI exploded last week, the community taught us something fundamental: vibe coders want complete control over their coding experience. They want to choose their models, swap providers, hack their agents, and customize every layer of the stack. The current ecosystem is fragmented and underdeveloped – so we're building the infrastructure to change that.

Today, we're taking the next step: MCP (Model Context Protocol) support for Grok CLI.

What This Changes

With MCP support, Grok CLI transforms from a smart terminal assistant into a connected productivity powerhouse. Here's what's now possible:

Connect to Your Development Stack

# Install Grok CLI
npm install -g @vibe-kit/grok-cli

# Set up your API key
export GROK_API_KEY="your-xai-api-key-here"

Seamless Workflow Integration

With MCP support, Grok CLI can understand and interact with your development tools through natural language commands, enabling cross-platform workflows and reducing context switching between applications.

1000+ API Integrations

Through MCP's extensible architecture, Grok CLI can now connect to:

• Project Management: Linear, Jira, Asana, Notion
• Code Hosting: GitHub, GitLab, Bitbucket
• Communication: Slack, Discord, Teams
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Services: AWS, GCP, Azure APIs
• And hundreds more...

The Technical Implementation

MCP (Model Context Protocol) provides a standardized way for AI models to securely interact with external systems. Grok CLI leverages MCP's extensible architecture to connect with various development tools while maintaining security through isolated integrations and explicit permission boundaries.

The protocol supports multiple transport methods including stdio-based servers, HTTP servers, and Server-Sent Events (SSE), allowing for flexible integration patterns that suit different use cases and security requirements.

Real-World Impact

Early beta testers are already seeing dramatic productivity gains:

Automated Issue Tracking: "I can now create Linear issues directly from error logs in my terminal, with full context and automatic team assignment."

Cross-Platform Context: "Grok CLI understands my entire development stack. It knows which GitHub PRs relate to which Linear issues without me having to explain."

Reduced Context Switching: "Instead of jumping between 5 different tabs, I just ask Grok CLI to handle the coordination."

Getting Started

Ready to experience connected AI development?

# Install Grok CLI
npm install -g @vibe-kit/grok-cli

# Set up authentication
export GROK_API_KEY="your-xai-api-key-here"

# Start using Grok CLI
grok "Help me with my development workflow"

Advanced Configuration

Configure MCP servers for your specific development stack:

import { GrokCLI } from '@vibe-kit/grok-cli';

const grok = new GrokCLI({
  apiKey: process.env.GROK_API_KEY,
  mcp: {
    servers: [
      {
        name: 'github',
        command: 'npx',
        args: ['@modelcontextprotocol/server-github'],
        env: {
          GITHUB_PERSONAL_ACCESS_TOKEN: process.env.GITHUB_TOKEN
        }
      },
      {
        name: 'linear',
        command: 'npx',
        args: ['@modelcontextprotocol/server-linear'],
        env: {
          LINEAR_API_KEY: process.env.LINEAR_API_KEY
        }
      }
    ]
  }
});

Use Cases This Enables

Connected AI development scenarios that are now possible:

• Unified Issue Management: Create, update, and track issues across multiple platforms from a single interface
• Intelligent Code Reviews: Automatically correlate code changes with project requirements and team discussions
• Cross-Platform Automation: Build workflows that span multiple development tools without manual coordination
• Context-Aware Development: AI that understands your entire development ecosystem, not just individual tools

Requirements

• Node.js 18+
• Valid Grok API key
• MCP server configurations for desired integrations

Documentation: github.com/superagent-ai/grok-cli

MCP Protocol: modelcontextprotocol.io