"Ram" matching MCP servers:

MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.

Sanitizes text and files by removing PII, secrets, and custom patterns locally before sending to LLMs, with optional reverse-scrubbing.

MCP server for AutoRABIT ARM APIs, covering CI Jobs v1 endpoints, Deployment Reporting v1 endpoints, and SIEM Audit Logs.

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

Analyzes application code locally to automatically generate baseline AWS IAM identity-based policies by detecting AWS SDK calls in Python, Go, and TypeScript applications. Helps AI coding assistants quickly create IAM permissions that can be refined as applications evolve.

A Model Context Protocol (MCP) server that provides comprehensive access to IBM QRadar security intelligence platform. Query logs, events, offenses, agents, assets, and more directly from your AI assistant.

Offline, dependency-free transport-layer hardening auditor for MCP Streamable HTTP endpoints, probing for DNS rebinding, CORS, session-ID, cleartext, and protocol conformance defects with a severity-weighted score and CI gate.

Enables Claude and other MCP clients to perform memory forensics on RAM images by exposing fvol plugins as tools, including process listing and tree analysis, network scanning, malware detection, command-line and DLL/handle inspection, file scanning, and arbitrary custom plugin execution. It also provides plugin discovery resources and helpers for listing local memory dumps and identifying image metadata.

Enables auditors to scan cloud IAM policies for privilege-escalation paths, wildcards, and risky grants directly within Cursor or Claude Code, using a deterministic rule engine that runs entirely on local infrastructure.

A raw TypeScript MCP server simulating incident lifecycles with tools, resources, prompts, and signed multi-round remediation approval. Enables CLI-based interaction, protocol negotiation, and health/security testing without external MCP SDK dependencies.

Analyzes raw email headers and emails for phishing, spoofing, and BEC using AI forensics, SPF/DKIM/DMARC/ARC validation, and IP reputation checks. Exposes analyze_email, get_analysis, and list_analyses as MCP tools.

Security scanning for AI coding tools (Claude Code, Cursor, Windsurf) including secrets detection, MCP config vulnerabilities, agent instruction checks, threat modeling, prompt injection testing, pre-commit security checks, and dependency vulnerability scanning.

Enables Claude to search, retrieve, and analyze indexed files with sensitivity classifications and automatic redaction of sensitive information.

Exposes standard MCP tools for secure calculation, knowledge-base retrieval, document statistics, and sensitive operations like email, export, and deletion with human-in-the-loop approval.

Provides read-only access to Tactical RMM, enabling agent searches, detailed agent information, audit log queries, and execution of information-gathering PowerShell scripts on agents, with Entra ID authentication and a strict read-only guard.

A PostgreSQL MCP server that automatically detects and obfuscates personally identifiable information (PII) in query results using column-name heuristics and NLP analysis. It enables AI agents to interact securely with databases by masking sensitive data by default while allowing selective unmasking under user control.

AES-256-GCM encrypted local secret storage exposed as MCP tools, with secrets captured via native OS dialogs and never passing through the LLM API.