A decentralized MCP server providing anonymous, pay-per-request LLM inference via Lightning Network micropayments.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mcp-llm-inference
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install mcp-llm-inference using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill enables AI agents to access high-quality Large Language Models without the friction of traditional API key management or account registration. By leveraging the L402 protocol, it facilitates anonymous inference through micropayments on the Lightning Network, making it one of the most privacy-centric Openclaw Skills available today.
Instead of managing monthly subscriptions or sharing personal information, developers can empower their agents to pay exactly for what they use. This is ideal for building decentralized applications or autonomous agents that need to handle their own resource consumption and billing cycles without human intervention.
To integrate this into your environment, add the server configuration to your MCP settings file:
{
"mcpServers": {
"llm-inference": {
"command": "npx",
"args": ["-y", "@vbotholemu/mcp-llm-inference"],
"env": {
"L402_API_BASE_URL": "https://api.nautdev.com"
}
}
}
}
The skill utilizes the following tool schema to interact with the inference provider:
| Tool Name | Purpose | Key Parameters |
|---|---|---|
| chat_completion | Multi-turn dialogue | messages, model |
| generate_text | Single prompt output | prompt, model |
| list_models | Discovery | N/A |
All interactions are logged within the MCP host, while the financial transactions are handled externally via the Lightning Network, ensuring this remains a lightweight addition to your collection of Openclaw Skills.
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