mcp-server
Create and deploy Model Context Protocol (MCP) servers for AI agents. MCP enables AI models to interact with external tools and services.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/chinakingkong/mcp-serverWhat This Skill Does
The mcp-server skill is a powerful framework designed for the OpenClaw AI ecosystem to create, manage, and deploy Model Context Protocol (MCP) servers. By implementing the MCP standard, this skill bridges the gap between your AI agent and the external digital landscape. It allows your agent to communicate seamlessly with private databases, third-party REST APIs, local file systems, and custom internal tools. Instead of relying solely on the LLM's pre-trained knowledge, the mcp-server skill acts as a dynamic gateway, providing the agent with real-time, context-aware information and the ability to trigger executable actions across your infrastructure.
Installation
To integrate the MCP server management capabilities into your environment, use the OpenClaw package manager. Ensure you have Node.js version 18 or higher installed on your machine before running the following command in your terminal:
clawhub install openclaw/skills/skills/chinakingkong/mcp-server
Once installed, verify the installation by running mcp-server --help to view the available commands for template generation and deployment configurations.
Use Cases
- Database Administration: Query production or staging databases (PostgreSQL, MySQL) via natural language without writing SQL scripts.
- Real-time Data Integration: Connect AI agents to weather services, financial data feeds, or CRM platforms like Salesforce to pull live updates.
- Automated Workflow Orchestration: Build custom tool wrappers that enable agents to manipulate local file systems or trigger CI/CD pipelines.
- Enterprise Tooling: Bridge proprietary internal APIs to your AI agent, allowing non-technical users to query internal documentation or support tickets through a chat interface.
Example Prompts
- "Use the mcp-server skill to set up a new connection to my PostgreSQL analytics database so I can ask about current churn rates."
- "Create an MCP server template for the Open-Meteo weather API and deploy it to Vercel for testing."
- "I need to automate file reporting; can you help me create a file management MCP server that lists and summarizes recent logs in my ./data directory?"
Tips & Limitations
- Security First: Since MCP servers often connect to sensitive APIs or databases, always store your credentials in environment variables rather than hardcoding them in your configuration files.
- Rate Limiting: When connecting to third-party APIs (like weather or financial services), be mindful of your provider's rate limits to avoid service suspension.
- Debugging: Use the standard output logs provided by the
mcp-serverCLI to monitor connection health and troubleshoot authentication failures. - Scope: Keep your MCP server focused; it is more efficient to create multiple small, specialized servers than one bloated, monolithic server.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-chinakingkong-mcp-server": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api, code-execution