← sats4ai.com
INDIVIDUAL MCP TOOL
ai_call
When your task hits a wall that requires a human — booking, negotiating, navigating IVR menus, getting information from a business — send an AI voice agent to handle the call.
Input schema
{}Risk classification
Potential side effects detected · medium confidence · heuristic, not a guarantee.
- A tool name or description contains a write-action term.
- A tool name or description suggests sending messages.
Parent endpoint
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.sats4ai-mcp]
url = "https://sats4ai.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"sats4ai-mcp": {
"type": "http",
"url": "https://sats4ai.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: sats4ai-mcp
Remote MCP URL: https://sats4ai.com/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"sats4ai-mcp": {
"url": "https://sats4ai.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"sats4ai-mcp": {
"type": "http",
"url": "https://sats4ai.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "sats4ai-mcp",
"transport": "streamable-http",
"url": "https://sats4ai.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
create_payment— Create a Lightning invoice to pay for one AI service call.check_payment_status— Check whether a Lightning invoice has been paid.generate_image— Generate an image from a text prompt.generate_video— Generate cinematic video from a text prompt.animate_image— Animate a still image into cinematic video with ByteDance Seedance 2.0 — provide a first frame (optionally a last frame) and a prompt to direct the motion.check_job_status— Poll the status of an async job.get_job_result— Retrieve the final output of a completed async job.await_result— Wait for an async job to finish and return its result in ONE call — no manual polling loop.