AI & Machine Learning
softperceptron.com
An MCP server that lets you search, compare, and inspect AI models, agents, and token/credit products, and check whether open-weight models fit on specific GPUs.
ENDPOINT 1
https://softperceptron.com/mcp
MCP server metadata
- Name
- softperceptron
- Version
- 1.0.0
SoftPerceptron's directory of AI models, agents and token products, plus a GPU VRAM and decode-speed calculator. Use search_ai_models / get_ai_model / compare_ai_models for the directory, and can_i_run_model for GPU fit checks.
Known tools 6
search_ai_modelsSearch the SoftPerceptron directory of AI models, autonomous agents and token/credit products.
Inferred read-onlycompare_ai_modelsCompare two directory entries side by side — pricing, context window, modality and what each is best for.
Inferred read-onlycan_i_run_modelCheck 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.
Inferred read-onlylist_local_modelsList the open-weight models supported by the VRAM/can-i-run calculator, with parameter counts and what each is good for.
Inferred read-onlylist_gpusList the GPUs supported by the VRAM calculator, with VRAM, memory bandwidth and power draw.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
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.
TRUST AND VERIFICATION EVIDENCE
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Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.