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

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.

Enables AI assistants to manage LM Studio models, including listing, loading, and unloading models through the LM Studio API.

Houtini LM - LM Studio MCP Server with Expert Prompt Library and Custom Prompting - Offload tasks to LM Studio from Claude Desktop.

Deterministic secret, PII and PHI checks for your CLI, git hooks, CI and MCP, with editable scaffolds for NIST SSDF, ISO 27001 and India's DPDP Act.

MCP server + Chrome extension that gives AI coding agents control of your real browser with existing sessions, logins, and cookies. Works with Cursor, Claude, Windsurf.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.

A local-first MCP server that manages developer memory for coding agents, enabling shared project context, permissions, and audit trails across different agents.

Provides AI agents with accurate current time and date, including the Jalali (Persian) calendar, timezone-aware with automatic DST handling, via an MCP server.

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 coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Provides current time and timezone conversion using IANA timezone names, with automatic system timezone detection.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

An introductory MCP server that provides local time tools like getting current time, formatting, computing time differences, and listing timezones.

Provides an MCP runtime that turns Roblox Studio into an AI-native, autonomous, bidirectional development platform, letting AI assistants create and edit scenes, models, animations, scripts, and game systems through 63+ tools. It integrates with the official Roblox Studio MCP and uses 11 specialized providers for modeling, animation, Luau, testing, and diagnostics.

Provides durable project context for coding agents, including project maps, session history, and explicit memories, all stored locally.

A hosted remote MCP server for managing Android release gates, with tools to check release status, explain permission blockers, issue release receipts, summarize device matrices, and export release logs.

Enables AI agents to manage n8n workflow automation instances through tools for workflow CRUD operations, execution monitoring, and webhook triggering. It facilitates programmatic interaction with n8n instances via the n8n API with AI-optimized descriptions and error handling.

Enables Claude Code and other MCP clients to offload bounded tasks to a local or cloud LLM (LM Studio, Ollama, vLLM, LiteLLM, OpenRouter, DeepSeek, Groq, Cerebras, OpenAI) so files are read and drafted outside the orchestrator's context window, cutting token costs. It also provides a cheap second model for code review, test stubs, commit messages, format conversion, and embeddings.

Enables Claude or other MCP clients to offload bounded tasks such as code review, boilerplate, commit messages, and format conversion to local or cloud OpenAI-compatible models, saving tokens and providing a second opinion. It supports endpoints including LM Studio, Ollama, vLLM, OpenRouter, OpenAI, DeepSeek, Groq, and Cerebras.

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.

MCP server for browser debugging, inspection, and verification that streams console logs, network errors, and user actions into AI coding assistants.

Paid remote MCP for AI Studio Workspace with approval gate, structured receipts, audit logs, and reviewer-ready evidence, enabling workspace change checks, model run approval, spend estimation, and audit export.

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)

A calculator-focused MCP server template with tools, resources, and prompts built on NitroStack.

Enables multiple AI agents and humans working in the same project to share status, exchange messages, and claim files through a local collaboration board. It supports project-specific enablement, conflict-aware file claims, and shared state via SQLite.

An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.