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SoftPerceptron

com.softperceptron/mcp · v1.0.2

AI model/agent directory with pricing and comparisons, plus GPU VRAM fit and tokens/sec estimates.

Connect Remote server

Terminal
claude mcp add --transport http mcp https://softperceptron.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://softperceptron.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp": {
      "type": "http",
      "url": "https://softperceptron.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://softperceptron.com/mcp

Tools 6 found in our last check

  • search_ai_models

    Search the SoftPerceptron directory of AI models, autonomous agents and token/credit products. Returns pricing, specs and provider for each match. Use this to answer questions like 'what AI models are available', 'cheapest model with a big context window', or 'which coding agent…

  • get_ai_model

    Get full details for one directory entry by id or common alias (e.g. 'claude', 'gpt', 'gemini'). Returns pricing, specs, provider and links.

  • compare_ai_models

    Compare two directory entries side by side — pricing, context window, modality and what each is best for. Both must be the same kind (model vs model, agent vs agent).

  • 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. Use for questions like 'can an RTX 4090 run Llama 70B'.

  • 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.

Details

Endpointhttps://softperceptron.com/mcp (Streamable HTTP)
First published12 Nov 2026
Last updated12 Nov 2026
Registry namecom.softperceptron/mcp

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