71trust / 100

SoftPerceptron

by softperceptron.com in Onchain & crypto

MCP serverPassing, checked 7 h ago

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

https://softperceptron.com/mcp
Tools
6
open to any client
Uptime
94.7%
last 30 days
Response time
1.0 s
1.2 s slowest 5%
Last check
Passed
7 h ago, next any minute now

Scan it nowHow to connect

Reliability

All checks passedSome failedAll failedNot checked

Status and outage history · Atom feed · Watch with other listings

How to connect

Add it to any MCP client that supports remote servers.

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

6 tools

  • 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…

  • 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.

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTime
7 h agoPassed200776 ms
18 h agoPassed200853 ms
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2 days agoPassed200816 ms
Show 10 older checks
3 days agoPassed200815 ms
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4 days agoinitialize returned HTTP 530530128 ms
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