SafeWeave – 8 security scanners as an MCP server inside your AI editor
MCP-native security scanning inside Cursor beats switching to Snyk dashboards.
A team of Claude Code sub-agents that enforce security across the full SDLC, from ASVS requirements and threat modelling to SAST triage, IaC review, compliance attestation and release sign-off. Drop into any project. No security team required.
Eight specialist agents catch what Claude Code misses, but it's prompts not actual code analysis.
Developers using AI coding tools who need security guardrails
Snyk · Semgrep · GitHub Advanced Security
I have been using Claude Code and Cursor lately and as we all know, they write code incredibly fast but a few times i have noticed they can introduce the same security flaws. For example, you ask the LLM to build a file upload feature, you will get working code in minutes, but it would almost always miss magic-byte validation or leaves you vulnerable to SVG XSS. The LLM optimizes for code that compiles not code that is secure.
To fix this for my own workflow, I made a set of 8 security-focused AI agents (AppSec, GRC, Cloud/Platform, etc) that you can drop into any MCP-compatible tool (Cursor, Windsurf) or use with Claude Code.
To clarify, the goal here is not to say that LLM/AI replaces AppSec or the Secure Software Development Cycle, instead the goal is to provide a series of structured prompts and concrete security artifacts (like STRIDE based threat models and ASVS mapped functional requirements) for developers who are already using AI to write code. The aim is to force the LLM to pause and sort of put on a security hat during specific phases of the SDLC.
What It Actually Is
It is an MIT licenced repo containing the agent prompts, document templates and an MCP server. You can install via Claude marketplace or globally via npm, which gives you a CLI to scaffold git hooks, CodeQL CI Gates and the MCP config. Also included are 3 full walkthroughs in the repo showing how the agents catch things.
I am an Application Security Engineer, and I am really curious to get feedback and critique. Please try it out without any signups using the URL. I will be around to answer any questions
MCP-native security scanning inside Cursor beats switching to Snyk dashboards.
First package manager for AI agent configs with supply-chain security scanning.
36 controls across MCP security domains, but is a checklist—not a tool, agent, or enforcement mechanism.
IETF-backed security proxy for MCP agents when the protocol has none.
Bundles CI-friendly scanners that target agent-specific risks: 17 patterned secret detectors, prompt-injection and instruction‑malware heuristics, tool/SSRF and MCP auth checks, plus SARIF/JSON outputs for integration. Findings map to the OWASP Top 10 for Agentic Applications (2026) and it adds 'harden' profiles to apply safer defaults to OpenClaw/MCP installs — practical, focused ops tooling rather than a generic secret-finder.
Eight enforced security layers for AI agents, but unclear if this beats custom middleware for most teams.