"Information about Xcode development environment" matching MCP servers:

Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

MCP server for LobsterVault, enabling AI agents to securely store, retrieve, manage, and share encrypted secrets with KMS envelope encryption, including environment variable injection.

GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

A cross-platform secrets manager that stores named credential sets in the system keychain and injects them as environment variables, enabling secure secret management for AI coding assistants and CLI tools.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

Enables AI assistants to audit and clean development workspaces safely by detecting reclaimable artifacts, exposed .env files, and potential secret leaks.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

A demonstration server that reveals security risks by accessing sensitive environment variables, illustrating how MCP tools can potentially leak user data without explicit consent.

The server can be utilized for secure development by listing all packages' CVEs, their affected versions and their fix versions.

Secure MCP server with API-key authentication, bcrypt-hashed keys, and SQLite storage. It protects tools like user listing and secure greetings, requiring a valid environment-set key.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

A GitHub-native secrets manager that allows AI assistants to securely manage, generate, and validate credentials without exposing sensitive values in conversation history. It supports secret scanning, environment diffing, and secure command execution by injecting masked variables directly into the runtime environment.

Enables AI clients to perform Sisense environment operations such as governance, asset and user/group management, lifecycle tasks, and health checks using the calling user's own credentials.