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Store Mcp Connect

作者 fengzie · GitHub ↗ · v0.2.0 · MIT-0
cross-platform ⚠ suspicious
128
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install mobazha-store-mcp-connect
功能描述
Connect an AI agent to a Mobazha store via MCP (Model Context Protocol). Use when the user wants their agent to directly manage store products, orders, and s...
安全使用建议
This skill appears to do what it says (connect an AI agent to a Mobazha store) but there are important gaps you should consider before installing: - Metadata mismatch: the SKILL.md requires an API token and optionally SSH credentials, but the registry entry lists no required credentials. Assume the skill needs a Bearer API token and plan accordingly. - Minimize scope: create the least-privilege API token possible (read-only or scoped to only the actions the agent needs) before connecting. Test with a read-only token first. - Secret handling: follow the skill's own advice—store tokens in environment variables or a secrets manager, not in source-controlled config files. If you must add tokens to agent config files, ensure those files are excluded from VCS and have appropriate filesystem permissions. - Admin/password use: only run token-generation curl commands on machines you control; avoid pasting admin passwords into third-party UIs or untrusted agents. - Verify endpoints and provenance: confirm the SSE URL you configure actually belongs to your store (and not a typo or malicious domain). Because the skill has no homepage and unknown source, prefer manual verification and avoid downloading binaries unless from an official Mobazha release (e.g., official Docker image or GitHub release). - If you permit SSH tunneling, ensure the SSH key/credentials are tightly controlled and that you understand the tunnel's implications. If you want, provide the registry/package metadata or a link to an official Mobazha documentation page; with that I can re-evaluate and raise or lower the concern level.
功能分析
Type: OpenClaw Skill Name: mobazha-store-mcp-connect Version: 0.2.0 The skill bundle consists of documentation (SKILL.md) providing instructions for connecting an AI agent to a Mobazha store using the Model Context Protocol (MCP). It includes configuration examples for various agents, security best practices for handling API tokens, and a list of available management tools. No executable code is provided, and the instructions are transparent, defensive, and aligned with the stated purpose of store integration.
能力标签
cryptocan-make-purchasesrequires-oauth-tokenrequires-sensitive-credentials
能力评估
Purpose & Capability
The skill's name and instructions align: connecting an AI agent to a Mobazha store legitimately requires an API token and sometimes SSH/tunneling. The listed MCP tools (products, orders, chat, etc.) match that purpose.
Instruction Scope
SKILL.md explicitly instructs the agent/user to obtain/store an API token, add credentials to agent config files (e.g., ~/.claude.json, .cursor/mcp.json, opencode.json), and optionally use SSH tunnels. Those actions are within scope for a store-connection skill, but the instructions also include curl commands that post admin passwords to obtain tokens—users should be warned to run those commands only on trusted machines and to avoid embedding secrets in source-controlled files.
Install Mechanism
This is an instruction-only skill with no install spec (low installation risk). However, SKILL.md references a stdio binary (mobazha-mcp) bundled in the standalone Docker image with no install instructions or provenance provided — worth noting because if a user seeks that binary they will pull code/binaries outside the skill metadata.
Credentials
SKILL.md declares 'requires_credentials: true' and specifies an API Bearer token and optional SSH credentials, and it suggests env vars like MOBAZHA_TOKEN / MOBAZHA_GATEWAY_URL. But the registry metadata lists no required env vars or primary credential. This inconsistency is significant: the skill will require sensitive tokens, yet the published metadata did not declare them. Users need to be explicitly alerted that tokens will be stored in agent config files or environment variables.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It instructs editing user-level agent config files (expected for this use case) rather than modifying other skills or system-wide settings.
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 mobazha-store-mcp-connect
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mobazha-store-mcp-connect 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
v0.2.0
Add credential declarations and consent notice; strengthen credential safety guidance
v0.1.0
Initial release
元数据
Slug mobazha-store-mcp-connect
版本 0.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Store Mcp Connect 是什么?

Connect an AI agent to a Mobazha store via MCP (Model Context Protocol). Use when the user wants their agent to directly manage store products, orders, and s... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 128 次。

如何安装 Store Mcp Connect?

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

Store Mcp Connect 是免费的吗?

是的,Store Mcp Connect 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Store Mcp Connect 支持哪些平台?

Store Mcp Connect 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 Store Mcp Connect?

由 fengzie(@fengzie)开发并维护,当前版本 v0.2.0。

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