Lightningprox MCP
Pay-per-request AI access via Bitcoin Lightning through LightningProx, with vision and multimodal support.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
lightningprox-mcp
MCP server for LightningProx — pay-per-request AI via Bitcoin Lightning. No accounts, no API keys. Load a spend token, start querying.
Install
npx lightningprox-mcp
What LightningProx Is
LightningProx is an AI gateway that accepts Bitcoin Lightning payments instead of API keys. You load a prepaid spend token, pass it in the X-Spend-Token header, and each request is deducted from your balance in sats. No signup, no monthly plan, no credentials to manage.
19 models across 5 providers:
| Provider | Models |
|---|---|
| Anthropic | claude-opus-4-6, claude-sonnet-4-6, claude-haiku-4-5 |
| OpenAI | gpt-4o, gpt-4-turbo, gpt-4o-mini |
| Together.ai | llama-4-maverick, llama-3.3-70b, deepseek-v3, mixtral-8x7b |
| Mistral | mistral-large-latest, mistral-medium, mistral-small, codestral, devstral, magistral |
| gemini-2.5-flash, gemini-2.5-pro |
Vision / multimodal: Pass image_url directly in your request. URL mode only — no base64 encoding required.
Setup
Claude Desktop
{
"mcpServers": {
"lightningprox": {
"command": "npx",
"args": ["lightningprox-mcp"]
}
}
}
Config location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Linux:
~/.config/claude/claude_desktop_config.json
Claude Code
claude mcp add lightningprox -- npx lightningprox-mcp
Tools
| Tool | Description |
|---|---|
ask_ai | Send a prompt to any model, authenticated via spend token. Pass model to select (e.g. gemini-2.5-flash, mistral-large-latest, claude-sonnet-4-6). |
ask_ai_vision | Send a prompt with an image URL for multimodal analysis |
check_balance | Check remaining sats on a spend token |
list_models | List available models with per-call pricing |
get_pricing | Estimate cost in sats for a given model and token count |
get_invoice | Generate a Lightning invoice to top up a spend token |
Spend Token Auth
Every request authenticates via the X-Spend-Token header:
curl -X POST https://lightningprox.com/v1/chat \
-H "Content-Type: application/json" \
-H "X-Spend-Token: lnpx_your_token_here" \
-d '{
"model": "claude-sonnet-4-6",
"messages": [{"role": "user", "content": "What is the Lightning Network?"}]
}'
For vision requests, include image_url in the message content — no base64 needed:
curl -X POST https://lightningprox.com/v1/chat \
-H "Content-Type: application/json" \
-H "X-Spend-Token: lnpx_your_token_here" \
-d '{
"model": "claude-sonnet-4-6",
"messages": [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": "https://example.com/chart.png"}},
{"type": "text", "text": "Describe this chart"}
]
}]
}'
Getting a Spend Token
- Call
get_invoice(orask_aiwithout a token) to receive a Lightning invoice - Pay the invoice from any Lightning wallet
- Your spend token is returned — use it for all subsequent requests until balance runs out
Endpoints
| Endpoint | Description |
|---|---|
POST /v1/chat | Chat completions — OpenAI-compatible format |
POST /v1/messages | Anthropic messages format |
GET /v1/models | List available models with pricing |
GET /v1/balance | Check spend token balance |
POST /v1/invoice | Generate Lightning invoice |
Links
- Gateway: lightningprox.com
- Docs: lightningprox.com/docs
- AIProx agent registry: aiprox.dev
Built by LPX Digital Group LLC
Frequently asked questions
What is Lightningprox MCP?
Pay-per-request AI access via Bitcoin Lightning through LightningProx, with vision and multimodal support.
How do I install Lightningprox MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Lightningprox MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Lightningprox MCP?
It is published by unixlamadev-spec. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.