Arcade is an AI tool-calling platform and Model Context Protocol (MCP) runtime that provides a secure environment for AI agents to interact with third-party software and enterprise services.
Why it matters
overview
Arcade is an AI tool-calling platform and Model Context Protocol (MCP) runtime developed by Arcade.dev that enables AI agents to securely and reliably interact with enterprise and consumer services. It provides a runtime environment for AI agents, facilitating connections with third-party software, managing authentication, tool access, and governance.
features
Arcade provides a comprehensive suite of features designed to enable secure, reliable, and governed AI agent interactions with external services. Its architecture focuses on robust authentication, dynamic permissions, and an extensible tool ecosystem.
use cases
Arcade is primarily utilized by developers and enterprises seeking to deploy production-ready AI agents that require secure, authenticated access to a wide array of third-party and internal systems. Its capabilities address critical challenges in agent deployment, security, and compliance.
how to use
To utilize Arcade, developers typically integrate its SDK into their AI agent frameworks or leverage its pre-built tools and connectors. The platform provides a secure runtime for agent actions, managing authentication and authorization.
pricing
Arcade operates on a paid model, offering a free tier for initial exploration and development. Specific pricing details for advanced features and enterprise plans are available on the official Arcade pricing page. The platform's pricing structure is designed to support various scales of AI agent deployment, from individual developers to large enterprises requiring robust security and compliance features.
Free Tier
Vendor website advertises a free tier.
Pricing Page
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Arcade positions itself as a foundational technology for the "agentic era," specifically as the industry's first authenticated tool-calling platform for Agentic AI and an MCP runtime. Its core differentiator is a secure action layer for AI agents, built by former Okta identity engineers, which handles OAuth and manages user tokens, API keys, and secrets without exposing credentials to the AI model. This just-in-time authorization model significantly reduces security risks compared to alternatives.
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