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mcp-llm-inference

作者 HaveBlue997 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
133
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install mcp-llm-inference
功能描述
Anonymous LLM inference via L402 micropayments — chat completions, text generation, and model discovery. No API key, no signup, no KYC. Pay per request in sa...
安全使用建议
What to consider before installing: - Environment-var mismatch: SKILL.md and registry expect L402_API_BASE_URL, but the code uses NAUTDEV_BASE_URL and defaults to https://api.nautdev.com. If you set L402_API_BASE_URL the skill will likely ignore it and still send data to the default host. Treat prompts and any sensitive content as leaving your system and going to that remote service. - Payment flow is unclear: the README/SKILL.md promise L402 micropayments/invoices, but the code only forwards requests to the API and returns the API JSON. There is no explicit handling or UX for invoices in the tool; verify with the upstream package what the API returns (it might embed an invoice), and confirm how payment is completed before relying on the promised pay-per-request behavior. - Packaging inconsistencies: package/README names and authors differ (Blue-Trianon-Ventures vs @vbotholemu). This can indicate sloppy publishing or a fork; verify the npm package owner, source repository, and published tarball contents before running via npx. - Data exposure risk: this skill sends prompts and message history to an external service by design. Do not use it with secrets, private data, or anything you cannot share publicly unless you have verified the remote provider's privacy model and trustworthiness. - Recommended checks: inspect the published npm package content and checksum, look up the package and author on the npm registry, view the repository (if any), test in an isolated environment, and contact the package author/maintainer for clarification about the env var name and payment flow. If you need guarantees about where data goes or how payments are handled, avoid installing until these questions are answered.
功能分析
Type: OpenClaw Skill Name: mcp-llm-inference Version: 1.0.0 The skill is a straightforward MCP server implementation for LLM inference via the L402 protocol, allowing for anonymous pay-per-request access. The code in `src/index.ts` and `dist/index.js` strictly implements the described tools (chat, generate, models) by making standard fetch requests to a hardcoded or environment-configured API endpoint (api.nautdev.com). There is no evidence of data exfiltration, unauthorized file access, or malicious execution logic.
能力评估
Purpose & Capability
Name/description promise anonymous L402 micropayment-based LLM inference. The code implements chat/generate/models calls to an external API (coherent). However package/README/SKILL.md use different package names (@blue-trianon vs @vbotholemu) and environment variable names; these inconsistencies reduce trust and suggest sloppy or incorrect packaging.
Instruction Scope
SKILL.md emphasizes a micropayment/invoice flow and declares L402_API_BASE_URL as required. The runtime code only posts JSON to /api/v1/llm/* on BASE_URL and does not implement explicit payment handling or invoice presentation logic in the tool code (it simply returns whatever the remote API responds). The SKILL.md instructs using L402_API_BASE_URL, but the source uses NAUTDEV_BASE_URL — so the skill will default to https://api.nautdev.com unless NAUTDEV_BASE_URL is set.
Install Mechanism
No install spec in registry; SKILL.md expects running via npx which is consistent with included package.json. This is a standard npm/mcp pattern (moderate risk). There are no direct downloads from arbitrary URLs; dependencies are small and typical (@modelcontextprotocol/sdk, zod).
Credentials
Declared required env var is L402_API_BASE_URL, but the code reads NAUTDEV_BASE_URL and falls back to a hardcoded https://api.nautdev.com. This mismatch can cause the skill to send all requests to the default host even if the user sets L402_API_BASE_URL, which is unexpected and may leak prompts to that host. Only one env var is requested (reasonable), but the wrong one being used is problematic.
Persistence & Privilege
always:false and default model-invocation settings. The skill does not request persistent system-wide changes or extra privileges and does not modify other skills' configurations.
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 mcp-llm-inference
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mcp-llm-inference 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
v1.0.0
Initial publish
元数据
Slug mcp-llm-inference
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

mcp-llm-inference 是什么?

Anonymous LLM inference via L402 micropayments — chat completions, text generation, and model discovery. No API key, no signup, no KYC. Pay per request in sa... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 133 次。

如何安装 mcp-llm-inference?

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

mcp-llm-inference 是免费的吗?

是的,mcp-llm-inference 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

mcp-llm-inference 支持哪些平台?

mcp-llm-inference 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 mcp-llm-inference?

由 HaveBlue997(@haveblue997)开发并维护,当前版本 v1.0.0。

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