"OpenAI's Web Retrieval Infrastructure" matching MCP servers:

Enables post-hoc auditing of an agent's retrieval supply chain by recording digest-only provenance from source through chunk, transformation, context and decision, then reporting influence rankings with an honest unexplained residual, lineage traces, advisory source trust and retirement recommendations, and retrieval schema drift. It never performs retrieval, ranks documents at query time, or blocks decisions.

Enables Claude AI to automatically audit AWS cloud resource configurations, diagnose security vulnerabilities, and generate high-availability optimization reports.

Enables Terraform HCL plan generation, drift detection, and strict human confirmation approval barriers for cloud infrastructure management.

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

Enables live website health checks including TLS, HTTPS, and security headers, returning an A-F grade with specific fixes.

Enables AI agents to audit URLs for security headers, generate CSP Level 3 policies, compute SRI hashes, evaluate WCAG 2.2 contrast, and remediate headers.

A Node.js-based frontend security audit tool that performs comprehensive dependency security audits for both local projects and remote repositories. Generates detailed Markdown reports with vulnerability detection, risk assessment, and fix recommendations.

A comprehensive implementation of Model Context Protocol servers enabling natural language interactions with security platforms including Splunk SIEM, CrowdStrike EDR, and Microsoft MISP for threat intelligence querying and analysis.

Enables authenticated access to an SSH server fleet and RAG knowledge base through MCP tools, with read-only checks running automatically and risky operations requiring human approval. Supports target registry IDs, policy enforcement, credential management, and hybrid knowledge search.

Enables AI agents to diagnose and analyze AWS serverless infrastructure through Model Context Protocol, providing access to CloudWatch logs, Lambda functions, DynamoDB tables, IAM policies, and Bedrock-powered incident root-cause analysis.

A demo MCP server illustrating production patterns including OAuth 2.0 token validation, workspace context management, Firestore integration, and Zod schema validation using TypeScript.

Provides OAuth-protected remote access to an existing Open Brain, forwarding approved tool calls from Gemini Spark and Perplexity web clients without altering the upstream system.

Enforces Awaken Church's governance policies by scanning content, correcting language, blocking unauthorized integrations, routing projects, and flagging content for review.

Guardrails for AI coding agents that enforces rules via compliance receipts, blocking destructive actions and syncing rules across all AI tools.

Connects AI coding assistants to Snyk API & Web for onboarding scan targets, configuring authentication, running DAST scans, and triaging findings through natural language.

MCP server enabling AI coding agents to seal work into cryptographically signed ProofPackets and verify them, catching forged completion claims and enforcing spec-bound acceptance criteria.

Python MCP server that bridges VS Code Copilot agents to the Firm Gateway ecosystem.

Adaptive security for AI agents: assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts, and monitor metrics. Runs locally via MCP stdio.

A governed MCP server for digital-forensics and incident-response (DFIR) work, exposing curated forensic tools (Volatility 3, Plaso, RegRipper, etc.) through a single FastMCP HTTP endpoint with bearer-token authentication and tamper-evident audit logging.

Exposes reverse engineering capabilities via MCP protocol, enabling AI agents to automatically detect, analyze, trace, and deobfuscate JSVMP protected JavaScript code.