Compare the Top MCP Gateways that integrate with Cursor as of October 2026

This a list of MCP Gateways that integrate with Cursor. Use the filters on the left to add additional filters for products that have integrations with Cursor. View the products that work with Cursor in the table below.

What are MCP Gateways for Cursor?

MCP gateways act as secure intermediaries that connect AI models with external tools, data sources, and services using the Model Context Protocol (MCP). They manage authentication, permissions, and request routing to ensure controlled and reliable access to contextual data. The gateways standardize how models discover, invoke, and interact with tools across different environments. Many MCP gateways include monitoring, logging, and policy enforcement features to maintain security and compliance. By centralizing tool access and context delivery, MCP gateways enable scalable, interoperable, and safer AI integrations. Compare and read user reviews of the best MCP Gateways for Cursor currently available using the table below. This list is updated regularly.

  • 1
    MCP360

    MCP360

    Delta4 Infotech

    MCP360 is a unified integration platform and marketplace that connects AI agents to more than 100 external tools and custom MCPs through a single integration. It serves as a central access layer that allows AI agents to interact with a wide range of third-party services without requiring separate configurations for each tool. Once integrated, AI agents can use tools provided by MCP360 to perform tasks across different domains. The platform standardizes workflow execution, enabling agents to coordinate actions across multiple external services. MCP360 is designed to scale as agent capabilities grow. New tools added to the MCP360 marketplace become available immediately to existing integrations, enabling teams to expand what their AI agents can do without rebuilding or reconfiguring their systems. This makes MCP360 a stable foundation for building AI agents that rely on external services to complete real-world tasks.
    Starting Price: $16/month
  • 2
    Storm MCP

    Storm MCP

    Storm MCP

    Storm MCP is a gateway built around the Model Context Protocol (MCP) that lets AI applications connect to multiple verified MCP servers with one-click deployment, offering enterprise-grade security, observability, and simplified tool integration without requiring custom integration work. It enables you to standardize AI connections by exposing only selected tools from each MCP server, thereby reducing token usage and improving model tool selection. Through Lightning deployment, one can connect to over 30 secure MCP servers, while Storm handles OAuth-based access, full usage logs, rate limiting, and monitoring. It’s designed to bridge AI agents with external context sources in a secure, managed fashion, letting developers avoid building and maintaining MCP servers themselves. Built for AI agent developers, workflow builders, and indie hackers, Storm MCP positions itself as a composable, configurable API gateway that abstracts away infrastructure overhead and provides reliable context.
    Starting Price: $29 per month
  • 3
    Obot MCP Gateway
    Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.
    Starting Price: Free
  • 4
    DeployStack

    DeployStack

    DeployStack

    DeployStack is an enterprise-focused Model Context Protocol (MCP) management platform designed to centralize, secure, and optimize how teams use and govern MCP servers and AI tools across organizations. It provides a single dashboard to manage all MCP servers with centralized credential vaulting, eliminating scattered API keys and manual local config files, while enforcing role-based access control, OAuth2 authentication, and bank-level encryption for secure enterprise usage. It offers usage analytics and observability, giving real-time insights into which MCP tools teams use, who accesses them, and how often, along with audit logs for compliance and cost-control visibility. DeployStack also includes token/context window optimization so LLM clients consume far fewer tokens when loading MCP tools by routing through a hierarchical system, allowing scalable access to many MCP servers without degrading model performance.
    Starting Price: $10 per month
  • 5
    Peta

    Peta

    Peta

    Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.
    Starting Price: Free
  • 6
    MintMCP

    MintMCP

    MintMCP

    MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually.
  • 7
    Easy MCP AI

    Easy MCP AI

    Easy MCP AI

    Easy MCP AI is a WordPress plugin that turns a site into an MCP server, so AI assistants can research, manage, optimize, and analyze WordPress through natural-language conversations. It connects with MCP-compatible clients such as Claude, ChatGPT, Cursor, and other AI tools, exposing WordPress functions as AI-ready tools without requiring Node.js, a proxy, long-running processes, or external infrastructure. It runs entirely in PHP on standard WordPress hosting and provides broad coverage for posts, pages, media, comments, users, categories, tags, menus, plugins, themes, blocks, custom post types, and more. It also adds integrations for WooCommerce, Advanced Custom Fields, BuddyPress, The Events Calendar, major SEO plugins, and data services including Google Analytics 4, Google Search Console, DataForSEO, Semrush, SE Ranking, and Ahrefs. AI assistants can research keywords, plan content, draft and publish posts, update SEO metadata, manage site data, and pull performance insights.
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