INDIVIDUAL MCP TOOL

validate_json

Checks that text parses as JSON, and optionally that required keys are present with the right top-level types.

ainetcafe.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://ainetcafe.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for validate_json and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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.

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.
ask_model — Send a prompt to one specific large language model and get the answer plus its exact cost in USD.
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.