MCP server
SoftPerceptron Official
com.softperceptron/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
AI model/agent directory with pricing and comparisons, plus GPU VRAM fit and tokens/sec estimates.
Working at last checkVerified publisher: softperceptron.comAbout 760 tokens per request once connected6 tools
https://softperceptron.com/mcp
At a glance
- Type
- MCP server
- Publisher
- softperceptron.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 760 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http softperceptron https://softperceptron.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.softperceptron] url = "https://softperceptron.com/mcp"
Gemini CLI
{"mcpServers":{"softperceptron":{"httpUrl":"https://softperceptron.com/mcp"}}}
Cursor
{"mcpServers":{"softperceptron":{"url":"https://softperceptron.com/mcp"}}}
VS Code
{"servers":{"softperceptron":{"type":"http","url":"https://softperceptron.com/mcp"}}}
Antigravity
agy mcp add softperceptron https://softperceptron.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"softperceptron","server_url":"https://softperceptron.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"softperceptron","server_url":"https://softperceptron.com/mcp"}
Tools
can_i_run_model~230 tokens
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'.compare_ai_models~118 tokens
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).get_ai_model~98 tokens
Get full details for one directory entry by id or common alias (e.g. 'claude', 'gpt', 'gemini'). Returns pricing, specs, provider and links.list_gpus~51 tokens
List the GPUs supported by the VRAM calculator, with VRAM, memory bandwidth and power draw.list_local_models~62 tokens
List the open-weight models supported by the VRAM/can-i-run calculator, with parameter counts and what each is good for.search_ai_models~201 tokens
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'.
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