SoftPerceptron
REMOTE · SOFTPERCEPTRON.COM
AI model/agent directory with pricing and comparisons, plus GPU VRAM fit and tokens/sec estimates.
Available components
Last scanned (1 hour ago)
Scores higher than 48% of remote servers
Reachable. Last reached 23 Oct 2026.
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 6 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability74
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 552 tokens (~92/item across 6 items; 6 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
- Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 23 Oct 26 +1
- Stability: unverified → 0.03 ▲ functional
- 22 Oct 26 64
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 23 Oct 2026 · Probed https://softperceptron.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=softperceptron.com | CN=WE1,O=Google Trust Services,C=US | 26 Aug 2026 | 24 Nov 2026 | ECDSA 256 | ECDSA-SHA256 | f6b52a308f3670c130bb6987e056044 |
| SANs: softperceptron.com, *.softperceptron.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of softperceptron.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| softperceptron.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://softperceptron.com/mcp | Verified | 200 | |
| http (plaintext) | http://softperceptron.com/mcp | HTTPS enforced | 301 | https://softperceptron.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
can_i_run_model ~174
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'.
| Name | Type | Req | Description |
|---|---|---|---|
| context | integer | – | Context length in tokens (default 8192). |
| gpu | string | yes | GPU id or name, e.g. 'rtx4090'. Call list_gpus to see options. |
| model | string | yes | Local model id or name, e.g. 'llama33-70b'. Call list_local_models to see options. |
| quant | string | – | Quantization id (default 'q4'), e.g. q4, q5, q8, fp16. |
No output schema declared.
No examples provided.
compare_ai_models ~69
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).
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | First listing id or alias. |
| b | string | yes | Second listing id or alias. |
No output schema declared.
No examples provided.
get_ai_model ~72
Get full details for one directory entry by id or common alias (e.g. 'claude', 'gpt', 'gemini'). Returns pricing, specs, provider and links.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | Listing id or alias, e.g. 'anthropic-claude' or 'claude'. |
No output schema declared.
No examples provided.
list_gpus ~29
List the GPUs supported by the VRAM calculator, with VRAM, memory bandwidth and power draw.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_local_models ~35
List the open-weight models supported by the VRAM/can-i-run calculator, with parameter counts and what each is good for.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
search_ai_models ~119
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'.
| Name | Type | Req | Description |
|---|---|---|---|
| kind | string | – | Restrict to one product kind. |
| limit | integer | – | Max results (default 10). |
| query | string | – | Free-text match against name, tagline, provider and tags. Omit to list everything. |
No output schema declared.
No examples provided.
How do I install the SoftPerceptron MCP server?
SoftPerceptron is a hosted endpoint at https://softperceptron.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · softperceptron.com
claude mcp add --transport http com-softperceptron-mcp 'https://softperceptron.com/mcp'
What is the SoftPerceptron MCP server?
SoftPerceptron is an MCP server listed in the public MCP registry as com.softperceptron/mcp. AI model/agent directory with pricing and comparisons, plus GPU VRAM fit and tokens/sec estimates. This page covers its hosted endpoint (https://softperceptron.com/mcp).
Is the SoftPerceptron MCP server safe to use?
SoftPerceptron scores 65 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the SoftPerceptron MCP server expose?
SoftPerceptron exposes 6 tools: search_ai_models, get_ai_model, compare_ai_models, can_i_run_model, list_local_models, list_gpus. Their descriptions and schemas cost roughly 498 tokens of context every time the server is loaded.
Does the SoftPerceptron MCP server require authentication?
No. We connected to SoftPerceptron without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the SoftPerceptron MCP server still maintained?
SoftPerceptron is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.