Connect-MCP

io.github.jdhart81/security-preflight

io.github.jdhart81/security-preflight · v1.3.1

Static MCP, source-code and injection-indicator checks with redacted signed receipts.

MCPremoteno credentialsE-commerceSecurityDeveloper tools

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 5 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 92/100

What it does: 5 tools · 2 read, 3 write · E-commerce, Security, Developer tools

Test call describe_agent: worked (1,004 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +2
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.viridis-security.com/security-preflight/mcp

Tools

5 tools listed at last check
  • security_preflight Run a $1 static Security Preflight and return a signed receipt. Direct MCP requires the checkout caller and verified fixed-order session. The separate x402 HTTP rail retains its existing introductory quote policy. No deployed endpoint is fetched or tested. Importing the receipt into an
  • scan_source $1 bounded inline VulnCanon source scan; indicators, not proven exploits. Direct MCP requires the checkout caller and verified fixed-order session. At most 64 KiB, 2000 lines, 4096 characters per line. No model calls, repository fetching or code execution. Returns a redacted signed rece
  • screen_injection $1 batch of 1–20 text samples screened for deterministic injection markers. Direct MCP requires the checkout caller and verified fixed-order session. Maximum 64 KiB total. Heuristic indicators, not calibrated probabilities or a guarantee of safety. No model calls or automatic follow-on
  • get_security_receipt Read an unsigned, filtered public view; retain original delivery for signature verification.
  • describe_agent Describe scope, evidence boundary, inputs, and outputs.

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