SoftPerceptron MCP server

• Registry namecom.softperceptron/mcpverified in the MCP registry

The registry name sits under softperceptron.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-22
• Tools6
• Server calls itselfsoftperceptron
• Server version1.0.1
• Protocol version2025-06-18

On 2026-10-22 the server answered initialize and tools/list without a sign-in. First answer in 274 ms.

• Its tools do compare AI models side by side on price and context, but not have a named engineer review AI-generated code; watch a Claude Code session live from a phone.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP score78 of 100answers 100 · does the job 33 · definitions 83 · context 100 · connects 100
• What an agent can do with it1 of 3 use cases
• Answered100% of days11 of 11 daily checks
• Median first answer774 ms
• Space in an agent's context≈ 665 tokensthe definitions of all its tools (6), which an agent carries on every turn
• Tool definitionsB · 83 of 100
• Typed results0 of 6 toolsdeclared outputSchema: results come typed, read once

• Not saying whether it only reads or can destroy: 6 of 6

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• 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…

• 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…

• 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.