Use Case
mcp-builder isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). This guide covers how to deploy mcp-builder for your team, standardize prompts, and create shared workflows that everyone can use.
Install mcp-builder in your project directory: .claude/skills/mcp/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use mcp-builder in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing mcp-builder
How can my team use mcp-builder together?
Set up mcp-builder for our project so everyone can use it
Create a shared workflow using mcp-builder for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mcpOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mcpβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/mcp/π‘Extract and place the folder at the path above, then restart your agent.