"A local AI setup with LM Studio and a secure browser for real-time AI searches" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables secure browser automation by letting agents fill Turnkey-stored secrets into web forms without the secret values ever appearing in the conversation, transcript, or model context.

An MCP server that gives AI clients controlled access to a real headless browser with domain allowlisting, SSRF protection, per-session isolation, audit logging, and persistent cookies/state across restarts.

Enables lifecycle-first governance for Edge AI fleets via MCP tools for approval requests, gate evaluation, and manual hold, ensuring deterministic deployment decisions with two-person approval, attestation, and safe rollback.

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.

Exposes LLM output validation (schema compliance and prompt-injection detection) as an MCP tool, enabling any MCP-compatible agent to apply real-time guardrails without importing the codebase.

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Provides an enterprise-grade Model Context Protocol implementation with advanced security features including multi-factor authentication, encryption, and RBAC. Enables secure tool management and context handling for production deployments with comprehensive monitoring and high availability.

Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data. Runs in AWS Nitro Enclave TEE with x402 USDC payments.

Enables interaction with biometrics AI features, including risk management, transparency, bias detection, and compliance tracking, all compliant with the EU AI Act.

Enables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

A security-focused Model Context Protocol server that enables controlled local tool execution through strict network firewalls, filesystem protections, and rate-limiting policies. It features a plugin-based architecture for progressive tool discovery and includes reference implementations for web searching and bug tracking.

Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.

A proxy server that sits between MCP clients and servers, providing authentication, tool discovery, caching, and guardrail enforcement to protect MCP servers from malicious inputs.

Read-only observation of a single live URL: parses static HTML to report security posture, forms, links, accessibility signals, and leaks, with described fixes. SSRF-gated and safe, never executes JavaScript.

Enables AI agents to operate through a local, signed boundary that blocks prompt injection and secret leakage, verifies outputs, preserves cross-session memory, and provides offline-verifiable receipts. It also exposes 900+ MCP tools for discoverable agent actions.

A secure-by-default framework for building MCP servers on Azure Entra ID, enforcing OWASP API Security Top 10 controls with authentication, authorization, and rate limiting.

Enables secure communications with built-in EU AI Act compliance through the MCP protocol.