INDIVIDUAL MCP TOOL

get_ai_model

Get full details for one directory entry by id or common alias (e.g.

softperceptron.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://softperceptron.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_ai_model 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.softperceptron]
url = "https://softperceptron.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "softperceptron": {
      "type": "http",
      "url": "https://softperceptron.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: softperceptron
Remote MCP URL: https://softperceptron.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": {
    "softperceptron": {
      "url": "https://softperceptron.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "softperceptron": {
      "type": "http",
      "url": "https://softperceptron.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "softperceptron",
  "transport": "streamable-http",
  "url": "https://softperceptron.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

search_ai_models — Search the SoftPerceptron directory of AI models, autonomous agents and token/credit products.
compare_ai_models — Compare two directory entries side by side — pricing, context window, modality and what each is best for.
can_i_run_model — Check whether a specific open-weight model fits on a specific GPU: VRAM required, whether it fits, how much headroom, which quantization to use, and an estimated decode speed in tokens/sec.
list_local_models — List the open-weight models supported by the VRAM/can-i-run calculator, with parameter counts and what each is good for.
list_gpus — List the GPUs supported by the VRAM calculator, with VRAM, memory bandwidth and power draw.