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智谱调用MCP,需要开通coding plan

作者 zhangalexhy · GitHub ↗ · v1.3.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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版本数
在 OpenClaw 中安装
/install zhipu-coding-plan-mcp
功能描述
智谱 AI 视觉、搜索与生图工具集 — 图像分析、OCR 文字提取、错误截图诊断、UI 截图转代码、技术图表解读、数据可视化分析、视频理解、UI 差异对比、联网搜索、网页读取、GitHub 仓库检索、AI 生图(CogView)、AI 生视频(CogVideoX)。共 4 个 MCP Server、13 个工具...
安全使用建议
This skill will read your OpenClaw agent's auth-profiles.json (~/.openclaw/agents/main/agent/auth-profiles.json) to extract the zai API key and then use npx at runtime to fetch and run npm packages (mcporter and @z_ai/mcp-server). Those behaviors are necessary for contacting open.bigmodel.cn but carry risk: npx executes remote code and the script accesses a local secrets file. Before installing: 1) only proceed if you trust open.bigmodel.cn and the @z_ai/mcp-server/mcporter packages; 2) inspect the referenced npm packages' source and versions; 3) consider creating a dedicated, limited-scope API key/profile (not your main agent credentials) and put it at the expected profile path if you must use the skill; 4) if you prefer not to allow runtime npm installs or local secret access, avoid installing this skill or run it in an isolated environment. Additional information that would change this assessment: a declared required env/primary credential entry, pinned package versions or a vetted install spec (instead of unpinned npx usage), or an explicit statement that the skill only reads the single zai key and no other secrets.
功能分析
Type: OpenClaw Skill Name: zhipu-coding-plan-mcp Version: 1.3.0 The skill bundle provides a legitimate integration for Zhipu AI services, including vision, search, and media generation. It uses a wrapper script (scripts/zai-mcp.js) to automate the retrieval of API keys from the standard OpenClaw configuration path (~/.openclaw/agents/main/agent/auth-profiles.json) and passes them to official Zhipu AI MCP endpoints (open.bigmodel.cn). The code logic is transparent, follows the stated purpose, and does not exhibit signs of malicious exfiltration or unauthorized execution.
能力评估
Purpose & Capability
The skill's code and mcporter.json match the description: it calls open.bigmodel.cn MCP endpoints and exposes image/video/search/GitHub tools. Requiring npx to run @z_ai/mcp-server and using a service API key is consistent with the declared functionality. However, the skill does not declare any required env var or primary credential even though it relies on an API key stored in the agent's auth-profiles.json, which is a transparency mismatch.
Instruction Scope
SKILL.md and scripts explicitly instruct/implement reading ~/.openclaw/agents/main/agent/auth-profiles.json to extract profiles."zai:default".key and then call MCP/HTTP APIs. Reading that agent auth file is within the stated purpose (it supplies the API key), but it is sensitive: the skill accesses a local secrets file and will use the key to perform network calls to open.bigmodel.cn.
Install Mechanism
There is no explicit install spec, but runtime uses npx (execFileSync calls npx mcporter and npx -y @z_ai/mcp-server per mcporter.json). npx will download/execute packages from npm at runtime, which executes remote code. That is a legitimate implementation choice but increases risk compared to an instruction-only skill because it pulls third-party code dynamically.
Credentials
The skill accesses an API key stored in the agent's auth-profiles.json (a local secret) but declares no required env vars or primary credential in metadata. While using that key is necessary for the described functionality, accessing the agent's stored auth without declaring it reduces transparency and could let the skill use other agent-held credentials if modified.
Persistence & Privilege
The skill is not always: true, is user-invocable, and does not modify other skills or system-wide agent settings. It only sets process.env.ZAI_MCP_API_KEY for its subprocess; it does not request permanent presence or elevated platform privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install zhipu-coding-plan-mcp
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /zhipu-coding-plan-mcp 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.3.0
- 新增支持 AI 生视频(CogVideoX),包括异步 API 调用和参数说明,支持文本/图像生成视频。 - 文档中加入 CogVideoX 视频生成的详细使用示例与一键脚本。 - 相关关键词补充“生视频”、“视频生成”、“AI视频”、“CogVideoX”以便快速检索。 - 其他核心工具和接口使用方法未变。
v1.2.1
- 用新的Node.js脚本替换了shell包装脚本,以实现统一的工具调用(`zai-mcp.sh` → `scripts/zai-mcp.js`) - 更新了所有使用文档和示例,以使用Node.js脚本 - 未更改可用工具或API方法 - 改进了API密钥管理和调用约定的文档
v1.2.0
- 新增 zai-mcp.sh wrapper 脚本,所有工具调用统一入口,自动读取和注入 API Key - API Key 获取和使用方式迁移至脚本,避免手动配置或硬编码 - 文档新增「API Key 与调用方式」重要说明,强调统一用 zai-mcp.sh 调用 - 新增 mcporter.json 配置文件,移除 mcporter-example.json - 其余工具与能力域保持不变
v1.1.0
zhipu-coding-plan-mcp v1.1.0 - 新增 CogView-3-Plus AI 生图 HTTP API 支持,提供详细调用方法与参数说明 - 说明中补充生图相关关键词,扩展 read_when 支持“AI生图”、“生图”、“画图”、“生成图片”等 - 增加图像/视频分析响应慢的超时说明及推荐 timeout 配置 - 工具功能描述和使用示例文本有精简和补充 - 其余原有功能不变,兼容 1.0.x 用法
v1.0.0
zhipu-coding-plan-mcp 1.0.0 — 初始版本: - 发布智谱 AI 视觉与搜索工具集,包含图像分析、OCR 文字提取、错误截图诊断、UI 截图转代码、技术图表解读、数据可视化分析、视频理解、UI 差异对比、联网搜索、网页读取、GitHub 仓库检索等功能 - 集成 4 个 MCP Server,合计 13 种工具 - 提供详细工具调用示例与参数说明 - 支持常见问题排查与配置指导
元数据
Slug zhipu-coding-plan-mcp
版本 1.3.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 5
常见问题

智谱调用MCP,需要开通coding plan 是什么?

智谱 AI 视觉、搜索与生图工具集 — 图像分析、OCR 文字提取、错误截图诊断、UI 截图转代码、技术图表解读、数据可视化分析、视频理解、UI 差异对比、联网搜索、网页读取、GitHub 仓库检索、AI 生图(CogView)、AI 生视频(CogVideoX)。共 4 个 MCP Server、13 个工具... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 178 次。

如何安装 智谱调用MCP,需要开通coding plan?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install zhipu-coding-plan-mcp」即可一键安装,无需额外配置。

智谱调用MCP,需要开通coding plan 是免费的吗?

是的,智谱调用MCP,需要开通coding plan 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

智谱调用MCP,需要开通coding plan 支持哪些平台?

智谱调用MCP,需要开通coding plan 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 智谱调用MCP,需要开通coding plan?

由 zhangalexhy(@zhangalexhy)开发并维护,当前版本 v1.3.0。

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