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security-recipes.ai

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Turn security findings into bounded agent work: one recipe, scoped context, required proof, and a human-reviewed result.

MCP ServersRegistry oficial1 estrellas0 forksPythonApache-2.0Actualizado today
ClaudeWave Trust Score
87/100
Trusted
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Clear description
  • Documented (README)
Last scanned: 8/27/2026
Install in Claude Code / Claude Desktop
Method: UVX (Python) · security-recipes.ai
Claude Code CLI
claude mcp add security-recipes-ai -- uvx security-recipes.ai
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "security-recipes-ai": {
      "command": "uvx",
      "args": ["security-recipes.ai"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/stevologic/security-recipes.ai and follow its README.
Casos de uso

Resumen de MCP Servers

<div align="center">

<img src=".github/readme/hero.svg" alt="security-recipes.ai — Search CVEs. Remediate vulnerabilities with AI agents. Sourced NVD + CISA KEV intelligence, evidence-gated canonical records, and bounded remediation plans." width="100%" />

[![Live site](https://img.shields.io/badge/Live-security--recipes.ai-2dd4bf.svg?style=flat-square&labelColor=020506)](https://security-recipes.ai/)
[![CVE Database](https://img.shields.io/badge/CVE_Database-260k%2B_records-2dd4bf.svg?style=flat-square&labelColor=020506)](https://security-recipes.ai/cve-database/)
[![MCP server](https://img.shields.io/badge/MCP-%2Fmcp-5eead4.svg?style=flat-square&labelColor=020506)](https://security-recipes.ai/mcp-servers/)
[![Security health action](https://img.shields.io/badge/CI-Security_Health_Action-5eead4.svg?style=flat-square&labelColor=020506)](https://security-recipes.ai/docs/security-health-action/)
[![llms.txt](https://img.shields.io/badge/agents-llms.txt-67e8f9.svg?style=flat-square&labelColor=020506)](https://security-recipes.ai/llms.txt)

</div>

# security-recipes.ai

**Search CVEs. Remediate vulnerabilities with AI agents.** Sourced facts stay
sourced, remediation stays bounded, and every plan carries verification,
rollback, and stop conditions — the live site's contract, and this repo's.

[security-recipes.ai](https://security-recipes.ai/) is an Eleventy site for
sourced CVE intelligence and evidence-gated vulnerability remediation that AI
agents can consume without inheriting deployment or production authority.

The project is intentionally narrow:

- a complete rolling Medium/High/Critical CVE database,
- evidence-qualified canonical CVE remediation records,
- practical security remediation recipes,
- prompt and rules-file examples,
- agent setup guides,
- MCP integration patterns,
- an optional read-only MCP server for recipe search and approved upstream MCP
  context,
- a [reusable GitHub Action](https://security-recipes.ai/docs/security-health-action/)
  that turns this guidance into toggleable CI health checks.

It is not a scanner, ticketing system, SOAR platform, deployment tool, or custom
security toolkit. Existing security tools should produce the findings; this
site helps agents use the right remediation context and stop at the right time.

Start with the live [CVE Database](https://security-recipes.ai/cve-database/)
for an exact vulnerability or the
[AI Vulnerability Remediation Playbooks](https://security-recipes.ai/security-remediation/)
for the evidence-to-patch workflow. Agent-specific guides cover
[Codex](https://security-recipes.ai/codex/),
[Claude Code](https://security-recipes.ai/claude/),
[Cursor](https://security-recipes.ai/cursor/),
[GitHub Copilot](https://security-recipes.ai/github_copilot/),
[Devin](https://security-recipes.ai/devin/),
[Shiba Studio](https://security-recipes.ai/agents/#shiba-studio),
[Hermes Desktop](https://security-recipes.ai/agents/#hermes-desktop), and
[OpenClaw](https://security-recipes.ai/agents/#openclaw).
The [Visual Guide](https://security-recipes.ai/how-to-use/) shows the complete
path from source qualification and search discovery to a bounded plan, proof,
rollback, and human review.
For the distinct problem of securing an agent system's identities, tools,
connectors, context, memory, runtime, and recovery controls, use
[AI Agent Security](https://security-recipes.ai/agentic-security/).

## Current product and workflow

![Security Recipes CVE database and AI vulnerability remediation interface](static/images/og-card.png)

### Qualified search discovery

![A source catalog passes an evidence gate before a canonical CVE page reaches search discovery and a reviewed remediation workflow](static/images/how-to-use/canonical-cve-search-discovery.webp)

The complete catalog remains searchable, while public canonical CVE pages stay
limited to reviewed or evidence-qualified records. Those pages ship unique
search metadata, server-rendered core facts and affected-version evidence, one
remediation authority (stable reviewed guidance first, otherwise complete
source-linked AI enrichment), a short approval-gated AI implementation prompt,
canonical URLs, breadcrumbs, and `Article`/`TechArticle` structured data. The CVE database
describes the catalog as a `Dataset`; the remediation pillar exposes its visible
seven-step workflow as a `HowTo`. Year-partitioned CVE sitemaps contain only
indexable canonical routes, and the build fails when sitemap parity, canonical
ownership, crawl reachability, metadata limits, or same-origin links drift.

Indexability is also withheld from mass-templated recipe children. The 72
development code-hygiene recipes and 39 generated compliance-framework recipes
remain browsable from their canonical hubs with `noindex,follow` while they
share a common method. A bounded rendered-body similarity gate prevents a child
from re-entering sitemaps until its evidence, examples, and tests are materially
distinct. The hubs remain indexable and carry the shared discovery context.

After an SEO-bearing release, the public revision must match the merge commit
before sitemap submission or URL inspection. The
[Caddy deployment guide](README.caddy-deploy.md#search-discovery-after-an-seo-release)
documents the DNS-verified Search Console handoff, priority live-URL checks,
sitemap submission, indexing requests, and query monitoring. Submission is a
discovery hint; it does not guarantee indexing or a particular ranking.

The remediation pillar also records a public repository example for
[CVE-2026-13149 in `brace-expansion`](https://security-recipes.ai/security-remediation/#real-repository-case-study-cve-2026-13149-in-brace-expansion).
It ties the dependency-only change to the
[reviewed pull request](https://github.com/stevologic/security-recipes.ai/pull/89),
tests, advisory evidence, and recovery path while explicitly separating the
same PR's unrelated Fail2Ban work.

| CVE search to canonical record | CVE evidence to bounded agent plan |
| --- | --- |
| ![CVE search, affected surface, evidence, and canonical remediation record](static/images/how-to-use/cve-search-to-record.webp) | ![Seven-phase CVE remediation plan inside a review gate](static/images/how-to-use/cve-to-agent-plan.webp) |
| Proof and human review | Read-only MCP context |
| ![Scope, change, tests, evidence, rollback, and human review](static/images/how-to-use/proof-and-review.webp) | ![Read-only MCP context with write access behind explicit approval](static/images/how-to-use/read-only-mcp-context.webp) |

## What this project is for

AI coding agents can help close security findings when their work is bounded:
one finding, one recipe, one reviewed output.

security-recipes.ai helps teams answer:

- Which recipe matches this finding?
- Which prompt should the agent use?
- Where do I put the instructions for Copilot, Claude, Cursor, Codex, or Devin?
- Which MCP servers should the agent read for advisory, scanner, repository, or
  runbook context?
- What should the PR or triage note include before a reviewer trusts it?

## What ships

- Eleventy documentation site (fast static builds, no Go toolchain).
- CVE-first observatory home page and data-first CVE database.
- Recipe hubs for dependency, SAST, sensitive-data, base-image, CVE, and
  default-hardening remediation.
- CVE intelligence intake policy, prompt, fixtures, and evaluator for routing
  advisory signals before an agent patches.
- A complete rolling ten-year Medium/High/Critical CVE catalog composed from
  integrity-verified NVD JSON 2.0 feeds, CISA KEV metadata, and every applicable
  vetted remediation archetype. Only reviewed `stable` Markdown pages override
  that conservative baseline.
- An integrity-hashed search allowlist that publishes canonical CVE pages only
  for reviewed stable Markdown or AI enrichment that passes the deterministic
  recipe-ready evidence contract. The full database remains searchable even
  when a record is not eligible for search indexing.
- A versioned seven-phase agentic change contract for every catalog CVE:
  discover, assess, mitigate, remediate, verify, rollback, and triage. Each
  action declares likely file targets, mutation and approval boundaries,
  required evidence, outputs, and failure behavior without guessing a patch or
  fixed version.
- A structured compliance library spanning 39 security, privacy, assurance,
  resilience, and software-supply-chain frameworks without reproducing
  licensed control text. Its framework hub is the search surface; templated
  child assessments remain `noindex,follow` until differentiated.
- A 72-recipe code-hygiene library covering cross-language and ecosystem-
  specific audit, remediation, verification, and stop-condition workflows.
  Its development children remain `noindex,follow` while their bodies share a
  generated template.
- Recipes with existing prompt collections preserved.
- Agent setup guides for GitHub Copilot, Claude, Cursor, Codex, and Devin.
- MCP integration guidance for public and organization-approved security data
  sources.
- Optional read-only FastMCP server in `mcp_server.py` for recipe search,
  retrieval, and opt-in upstream MCP context.
- Docker and Docker Compose configuration for local or droplet hosting.
- Helper scripts for site maintenance, validation, imports, and deployment.

## Repository map

| Path | Purpose |
| --- | --- |
| `content/` | Recipes, documentation, remediation guides, and agent setup pages. |
| `eleventy.config.js` | Site build configuration (permalinks, feeds, tag pages). |
| `_includes/` | Page layouts: docs chrome and the standalone home page. |
| `lib/` | Build modules: shortcode ports, JSON feed builders, SEO head. |
| `assets/` | Site CSS and JavaScript for the recipe browser, navigation, and helper tools. |
| `static/` | Images, logos, schemas, and static assets. |
| `static/api/cve-catalog/` | Complete sharded CVE catalog, year-partitioned machine index, compressed browser-search index, provenance manife

Lo que la gente pregunta sobre security-recipes.ai

¿Qué es stevologic/security-recipes.ai?

+

stevologic/security-recipes.ai es mcp servers para el ecosistema de Claude AI. Turn security findings into bounded agent work: one recipe, scoped context, required proof, and a human-reviewed result. Tiene 1 estrellas en GitHub y su última actualización registrada es del 2026-08-27.

¿Cómo se instala security-recipes.ai?

+

Puedes instalar security-recipes.ai clonando el repositorio (https://github.com/stevologic/security-recipes.ai) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar stevologic/security-recipes.ai?

+

Nuestro agente de seguridad ha analizado stevologic/security-recipes.ai y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene stevologic/security-recipes.ai?

+

stevologic/security-recipes.ai es mantenido por stevologic. La última actividad registrada en GitHub es del 2026-08-27, con 2 issues abiertos.

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