INDIVIDUAL MCP TOOL
ask_model
Send a prompt to one specific large language model and get the answer plus its exact cost in USD.
LIVE ENDPOINT
https://ainetcafe.com/mcp
Connect to this endpoint to inspect the live schema for ask_model and invoke it with your own arguments.
Indexed 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 server
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.ai-netcafe]
url = "https://ainetcafe.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"ai-netcafe": {
"type": "http",
"url": "https://ainetcafe.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: ai-netcafe
Remote MCP URL: https://ainetcafe.com/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": {
"ai-netcafe": {
"url": "https://ainetcafe.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"ai-netcafe": {
"type": "http",
"url": "https://ainetcafe.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "ai-netcafe",
"transport": "streamable-http",
"url": "https://ainetcafe.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
what_can_you_do— Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-to-run example calls — instead of reading the whole catalogue and guessing.list_apps— List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com).get_app— Full details of one hosted application: what it does, how to use it, measured benchmark scores, source repository, and the URL a human can open to run it.compare_models— Run one prompt across multiple LLMs in parallel and return every answer side by side with its real measured cost and latency.list_models— List every model callable through AI NetCafé with its input/output price per million tokens, so you can pick by cost as well as capability.remember— Persist a durable memory: an architecture decision, a stable user preference, a verified bug fix, or an important discovery.recall— Retrieve previously stored memories, optionally filtered by search query and/or project.web_search— Search the live web through a self-hosted SearXNG meta-search (aggregates dozens of engines, no tracking).