Rapidly bootstrap Model Context Protocol servers and tool integrations using natural language descriptions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentic-atlas-mcp-builder
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agentic-atlas-mcp-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MCP Builder?
The MCP Builder is a high-utility addition to the Openclaw Skills library, designed to bridge the gap between conceptual tool ideas and functional Model Context Protocol servers. It allows developers to describe the functionality they need in plain English and automatically generates the necessary scaffolding, including tool definitions, transport configurations, and test harnesses. This skill significantly reduces the boilerplate required to extend AI agents with custom capabilities.
Using Openclaw Skills like this ensures that your AI agents can interact with internal systems, custom APIs, and unique data sources without manual coding from scratch. By automating the creation of TypeScript or Python servers, it enables developers to focus on core logic rather than protocol implementation details.
MCP Builder Use Cases
- Rapidly scaffolding a new MCP server for an internal API or issue tracker.
- Converting an existing OpenAPI specification into MCP-compliant tool definitions.
- Creating a test environment for custom MCP tools before deployment to Claude Code or Cursor.
- Migrating legacy tool descriptions into the standardized Model Context Protocol format.
How MCP Builder Works
- The system analyzes the user's natural language description to identify core functionality and required tools.
- It determines the optimal transport method, such as STDIO for CLI-based agents or SSE for web-based integrations.
- It generates a complete project structure in TypeScript or Python using the official MCP SDK.
- API schemas or manual descriptions are mapped to precise tool definitions with JSON Schema validation.
- The skill provides ready-to-use configuration snippets for popular AI coding environments like Claude Code and Cursor.
MCP Builder Setup
To use this within your development environment, ensure you have Node.js 18+ and TypeScript installed. To begin using this skill within the Openclaw Skills ecosystem, initialize a new directory and install the necessary dependencies:
npm install @modelcontextprotocol/sdk
Follow the generated project structure and implement your specific business logic within the handlers.ts file provided by the scaffold.
MCP Builder Data Schema & Taxonomy
The MCP Builder organizes projects into a standardized directory structure to ensure compatibility and maintainability:
| File/Folder | Description |
|---|---|
src/index.ts |
The main entry point for the MCP server lifecycle. |
src/tools.ts |
Contains all tool definitions and input schemas for the LLM. |
src/handlers.ts |
Logic for handling tool execution requests and API calls. |
test/harness.ts |
A mock environment for testing tools locally without an LLM. |
package.json |
Project metadata, dependencies, and build scripts. |
MCP Builder Advanced Features
- Automatic conversion of OpenAPI and JSON Schema documents into valid tool definitions.
- Dual-transport support for both STDIO and SSE protocols to fit diverse agent deployment scenarios.
- Built-in test harness with mock LLM calls to validate server behavior independently.
- Multi-language scaffolding support covering both TypeScript and Python implementations.
- Pre-formatted configuration snippets for seamless integration with Claude Code, Cursor, and OpenCode.
SKILL.md
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