com.softperceptron/mcp · v1.0.1 · agents-and-memory
SoftPerceptron is healthy: it completed an MCP handshake in 11179 ms and exposes 6 tools.
AI model/agent directory with pricing and comparisons, plus GPU VRAM fit and tokens/sec estimates.
Endpoint: https://softperceptron.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 11179 ms |
| Last checked (UTC) | 2026-10-22T04:40:22.980Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-22T04:40:22.980Z | Healthy | 11179 |
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 agents exist'. |
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. |