Zhipu Mcp Tools
Skill by deepmindomega
Why use this skill?
Enhance OpenClaw with Zhipu AI MCP tools. Perform web analysis, visual recognition, repository auditing, and internet searches efficiently.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/deepmindomega/zhipu-mcp-toolsWhat This Skill Does
The Zhipu Mcp Tools skill by deepmindomega provides a powerful bridge between OpenClaw and the advanced artificial intelligence capabilities offered by the Zhipu AI Model Control Protocol (MCP) server. By integrating this skill, your OpenClaw agent gains the ability to perform multi-modal tasks including real-time web browsing, complex visual analysis, broad internet searches, technical repository auditing, and high-quality text generation. Whether you are looking to extract data from a live URL, parse visual components from an image file, or conduct a deep dive into an open-source codebase, this toolset serves as a centralized gateway for these intelligent operations.
Installation
To begin using Zhipu Mcp Tools, ensure you have the Zhipu AI MCP server running locally on http://localhost:8000 and the necessary Python requests library installed. You can integrate this skill into your environment by executing the following command in your terminal:
clawhub install openclaw/skills/skills/deepmindomega/zhipu-mcp-tools
Once installed, ensure your MCP server configuration allows OpenClaw to communicate with the service provider endpoint correctly.
Use Cases
This skill is designed for versatility across various professional domains. Researchers can utilize the 网页分析 and 联网搜索 tools to gather and synthesize information from multiple web sources rapidly. Software developers can leverage the 仓库分析 feature to quickly understand the structure, dependencies, and logic of new or complex GitHub/GitLab repositories. Content creators benefit from the 文本生成 and 视觉理解 capabilities to generate drafts, summarize visual data, or audit images for context and accessibility, making it an essential utility for efficiency.
Example Prompts
- "分析网页 https://docs.zhipuai.cn/ 并提取关于GLM模型的关键技术指标和核心功能点。"
- "分析仓库 https://github.com/example/project，请总结该项目的核心功能模块和技术栈结构。"
- "搜索关于大语言模型在多模态理解方向的最新进展，并生成一份中文的研究综述报告。"
Tips & Limitations
To get the best results, ensure your image paths or URLs are publicly accessible, as private local files may fail if the MCP server cannot reach them. The skill relies heavily on the stability of the local MCP server running at port 8000; if tools do not respond, verify that the server process is active. Additionally, large repository analysis may take time depending on the size of the codebase. Always provide clear, specific instructions to the text generator to ensure the output aligns with your required tone and format requirements.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-deepmindomega-zhipu-mcp-tools": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api