SoftPerceptron

com.softperceptronPublished by softperceptron.comOfficial publisherv1.0.1Updated Oct 25, 2026

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

VerifiedStreamable HTTPWeb executableAI & ML

Overview

SoftPerceptron's hosted MCP server (softperceptron.com), published by softperceptron.com; no sign-in required; Streamable HTTP; 6 tools.

No AI overview yet: these facts come from the registry entry and the server itself.

Publisher
softperceptron.com
Endpoint
softperceptron.com
Last checked

Installation

In SourceWeft

  1. Open SoftPerceptron in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.softperceptron%2Fmcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

Tools

6

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'.

Parameterskindlimitquery

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.

Parametersidrequired

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).

Parametersarequiredbrequired

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'.

Parametersgpurequiredmodelrequiredquantcontext

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.

Takes no parameters.

list_gpus

List the GPUs supported by the VRAM calculator, with VRAM, memory bandwidth and power draw.

Takes no parameters.

Version history

1
  1. v1.0.1LatestOct 22, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.