A comprehensive toolkit for building, testing, and publishing Model Context Protocol (MCP) servers to extend AI agent capabilities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ainative-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 ainative-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 AINative MCP Builder?
AINative MCP Builder is a specialized development framework designed to streamline the creation of Model Context Protocol (MCP) servers. By providing standardized workflows for both Python (via FastMCP) and Node.js, it allows developers to expose custom tools, memory functions, and external APIs directly to AI agents like Claude Code, Cursor, and Windsurf.
This skill serves as the bridge between raw code and agentic utility, ensuring that your custom logic is discoverable and executable by modern LLM-driven environments. Whether you are building internal productivity tools or public-facing integrations, AINative MCP Builder provides the scaffolding necessary for professional-grade Openclaw Skills development.
AINative MCP Builder Use Cases
- Creating a new MCP server from scratch to provide AI agents with custom data access.
- Adding new tools and capabilities to an existing MCP server infrastructure.
- Publishing MCP servers to ClawHub or npm for community distribution.
- Integrating bespoke APIs with AI coding IDEs like Claude Code or Cursor.
- Implementing semantic memory recall and storage for persistent agent state.
How AINative MCP Builder Works
- Initialize the server using either the Python FastMCP library or the Node.js MCP SDK.
- Define tool handlers that map specific functions (e.g., fetching credits, searching memory) to AI-callable endpoints.
- Configure the local environment or IDE (like Claude Code) to recognize the MCP server via a JSON configuration file.
- Create a matching SKILL.md file to define the triggers and scenarios for when the agent should utilize the tool.
- Test the interaction in a real-time terminal or IDE environment to ensure the Model Context Protocol is correctly implemented.
- Publish the resulting package to npm or ClawHub for deployment.
AINative MCP Builder Setup
For Python (FastMCP)
Install the FastMCP framework:
pip install fastmcp
For Node.js (MCP SDK)
Install the official MCP SDK:
npm install @modelcontextprotocol/sdk
Local Configuration
Add your server to your agent configuration (e.g., .claude/mcp.json):
{
"mcpServers": {
"my-tools": {
"command": "python",
"args": ["my_mcp_server.py"],
"env": { "AINATIVE_API_KEY": "your_key_here" }
}
}
}
AINative MCP Builder Data Schema & Taxonomy
AINative MCP Builder utilizes a structured approach to define tool schemas and metadata for Openclaw Skills:
| Component | Format | Description |
|---|---|---|
| Tool Definition | JSON Schema | Defines the arguments, types, and required fields for each tool. |
| Skill Metadata | YAML Frontmatter | Contains the name, description, and usage triggers for ClawHub. |
| Server Transport | STDIO / HTTP | The communication layer between the agent and the MCP server. |
| Memory Schema | JSON | Structures episodic and semantic data for long-term agent memory. |
AINative MCP Builder Advanced Features
- Multi-language support: Full implementation guides for both Python and TypeScript/Node.js ecosystems.
- Semantic Memory Integration: Built-in tools for
search_memoryandstore_memoryto create persistent AI contexts. - Automated Skill Discovery: Standardized SKILL.md templates that ensure your tools are correctly indexed in Openclaw Skills repositories.
- CLI Deployment: Direct binary mapping in
package.jsonfor seamlessnpxexecution and distribution. - Capability Negotiation: Advanced server settings to define specific tool, resource, and prompt capabilities.
SKILL.md
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