A specialized framework and guide for building, testing, and evaluating Model Context Protocol (MCP) servers to bridge LLMs with external APIs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install unique-mcp-builder-test
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 unique-mcp-builder-test 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 Server Builder?
The MCP Server Builder is a technical framework designed to help developers create high-quality Model Context Protocol (MCP) servers. It provides a structured methodology for enabling large language models to interact with external services through well-designed tools. By leveraging this resource within the Openclaw Skills ecosystem, developers can ensure their AI agents possess the necessary context, clear tool naming conventions, and actionable error messages required for complex real-world task execution.
This skill supports both TypeScript and Python environments, offering deep integration patterns for the MCP SDK. It prioritizes API coverage and workflow efficiency, ensuring that any server built follows industry best practices for transport mechanisms, such as stdio for local environments and streamable HTTP for remote deployments.
MCP Server Builder Use Cases
- Developing custom API connectors that allow AI agents to interact with proprietary internal services.
- Building specialized workflow tools for popular platforms like GitHub or database management systems.
- Enhancing the capabilities of Openclaw Skills by adding structured tool definitions for multi-agent systems.
- Creating automated evaluation suites to verify the reliability of tool-calling in production AI applications.
How MCP Server Builder Works
- Conduct deep research into the target service's API documentation and authentication requirements.
- Select a technical stack, such as TypeScript for its static typing benefits or Python for its rapid prototyping capabilities.
- Implement the core infrastructure, including shared utilities for authentication, error handling, and pagination.
- Define tools using structured schemas like Zod or Pydantic to ensure input validation and clear parameter descriptions.
- Test the implementation using the MCP Inspector to verify protocol compliance and tool discovery.
- Generate a comprehensive evaluation XML containing 10 complex QA pairs to benchmark LLM effectiveness.
MCP Server Builder Setup
To begin using this skill as part of your Openclaw Skills development workflow, initialize your project with the required SDKs:
# For TypeScript-based MCP servers
npm install @modelcontextprotocol/sdk zod
# For Python-based MCP servers
pip install mcp pydantic
# To test your server
npx @modelcontextprotocol/inspector <path-to-your-server>
MCP Server Builder Data Schema & Taxonomy
The MCP Server Builder organizes data through structured schemas and metadata to optimize agent interaction. This is how the data is structured within these Openclaw Skills:
| Data Component | Description | format |
|---|---|---|
| Tool Schema | Defines inputs, constraints, and descriptions for LLM visibility. | Zod / Pydantic |
| Metadata Hints | Boolean flags like readOnlyHint or destructiveHint for safety. | JSON |
| Evaluations | QA pairs used to verify tool-calling accuracy and consistency. | XML |
| Transport | Logic for communication via stdio or streamable HTTP. | JSON-RPC |
MCP Server Builder Advanced Features
- Support for modern SDK features like structuredContent for richer tool responses.
- Advanced context management techniques including results filtering and pagination to handle large datasets.
- Implementation of specialized annotations such as idempotentHint and openWorldHint to guide agent reasoning.
- Integrated evaluation framework for generating verifiable, multi-step tool-calling test cases for Openclaw Skills.
SKILL.md
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