Arcade AI
Production-grade MCP runtime for AI agents: auth, tools, governance.
Arcade is the right call when your agents must act in real user accounts across multiple enterprise systems and you need audit trails. Its MCP authentication tooling and step-up auth with Cisco Duo give it an edge for security-sensitive deployments. It's overkill for single-user bots or public-API-only prototypes.
Verified 15d ago · liveness 79/100 · cite: rightaichoice.com/tools/arcade-ai
- Engineering teams building production AI agents that act in real user accounts
- Enterprises needing SOC 2, audit trails, and RBAC for agent actions
- Developers who want to skip building custom auth for multi-tool agents
- Teams using MCP that need secure auth and governance
- Quick prototypes or single-user agents using only public APIs
- Teams with existing auth infra that just need tool orchestration
- Very small projects where a runtime is overkill
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Skip Arcade if you are building a quick prototype, a single-user agent using only public APIs, or a self-contained agent with zero external integrations.
On the Team plan, auth events cost $0.10 each and tool calls $0.01 each beyond the $25/month platform fee, so costs can rise quickly as your agent scales.
Pricing is per-event, not per-seat, so it scales with actual usage. The free tier ($0) is generous for prototyping; Team at $25/mo + usage is competitive for production. Compared to Composio, which charges similar per-action fees, Arcade's focus on auth and governance may justify the cost for enterprise teams. Enterprise pricing is custom, likely higher than some competitors but includes SSO, RBAC, and audit logs that others may charge extra for.
In short
Arcade AI — Production-grade MCP runtime for AI agents: auth, tools, governance. Best for Engineering teams building production AI agents that act in real user accounts, Enterprises needing SOC 2, audit trails, and RBAC for agent actions, Developers who want to skip building custom auth for multi-tool agents. Free to start; paid plans from $25/mo.
What's new in Arcade AI
Checked 13 days agoAcross the latest 9 updates: 2 feature updates, 6 community discussions and 1 news mention.
AI Agent Governance Is Not Governing People: Why the Rules Change When Agents Act on Your Behalf
Discusses how agent governance differs from governing people, focusing on accountability shifts when agents act on behalf of users.
Guardrails vs. Governance Explainer: What Actually Stops an Agent From Doing the Wrong Thing
Argues guardrails are insufficient because they live inside the model, which can be talked past. Governance is needed as a separate layer.
How to Securely Connect Cursor to Arcade for MCP Tools
Tutorial on using MCP with Cursor to access external APIs via Arcade, enabling secure tool calls without storing API keys in the IDE.
30 Days After MCP 07-28: Stateless Won, Now Come Skills, Triggers, & Identity
Analysis of MCP spec revision: stateless design is settled, but skills, triggers, and identity remain gaps to address.
Bring Any Third-Party MCP Server to Arcade.dev and Govern It Like Your Own
Arcade.dev now lets you register any remote MCP server (vendor, partner, or internal) and govern its tools from a single control plane with per-user authentication.
Best TypeScript AI Agent Frameworks for Next.js in 2026
Compares Mastra, Vercel AI SDK, LangChain/LangGraph, Inngest AgentKit, VoltAgent, Genkit, and OpenAI Agents SDK for Next.js, focusing on execution models and per-user authorization.
Best MCP Server Deployment Platforms for Enterprises in 2026
Compares 10 MCP server deployment platforms for enterprises, including Arcade.dev, AWS Bedrock AgentCore, Azure, and Cloudflare Workers, across hosting, auth, and audit.
What Is a Plugin? From Browser Add-Ons to AI Agent Tools (2026)
Defines plugins as software components that add capabilities to a host app without modifying its code, with context for AI agent tools.
Arcade.dev Joins the Open Secure AI Alliance for AI Safety and Security
Arcade.dev becomes a founding partner in the Open Secure AI Alliance, an NVIDIA-led initiative of 120+ companies for AI safety and cybersecurity.
What people actually say about Arcade AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
54 mentions across 4 sources (YouTube, Product Hunt, App Store, Lemmy) · researched Jul 31, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +AI quickly generates product demo scripts, saving hours of work.
- +Product Hunt community rates it 4.94★ from 62 reviews.
- +Enables storytelling for teams who struggle with demo creation.
- +Huge time-saver for creating interactive demos and UGC ads.
- +High-quality AI video generation for ads, per YouTube reviewers.
- −Output is often glitchy and unusable straight out of the box.
- −UI has bugs, including white text on white background during signup.
- −Lacks a basic text-only slide feature, frustrating for simple demos.
- −Recent update broke core features for some users, making app unusable.
- −Connectivity issues prevent reliable peer-to-peer interactions.
- • Credits per AI generation may run out quickly
- • Pro features like advanced toolkits may cost extra
Viability Score
How well maintained and how widely used is Arcade AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Agent authorization with dynamic user permissions
- Plug into identity providers: Okta, Google, Microsoft Entra ID
- Credentials never leave the runtime
- Agent-optimized MCP tools mapping intent to API call
- Thousands of MCP tools for enterprise systems
- Central control plane for audit and policy
- Full audit logs per action per user
- SOC 2 compliant
- SSO and RBAC out of the box
- Deployment options: cloud, on-prem, air-gapped, hybrid
- Works with any LLM, any framework, any MCP client
- Cisco Duo step-up authorization
- MCP Extensions support
- Stateless MCP protocol support
- Warp Pipes for private tools
About Arcade AI
Arcade is the runtime between your AI agents and the enterprise systems they reach, solving the three blockers that keep agents from shipping: authorization, reliability, and governance. Instead of building custom auth infrastructure, engineering teams plug Arcade into their existing identity providers—Okta, Google, Microsoft Entra ID—and let agents act on behalf of real users with dynamic permissions. Credentials never leave the runtime, so security review is less painful and data stays protected. The platform wraps thousands of MCP tools, mapping user intent to the right API call the first time to cut down on hallucinated parameters and expensive retries. Arcade is security-compliant out of the box: SOC 2, SSO, RBAC (now live with org admins, project admins, and members), and full audit logs for every action. A central control plane answers "what did this agent do, on behalf of which user, in which system?" for every tool call. Deployment is flexible—cloud, on-prem, air-gapped, or hybrid—so you control where data lives. Recent additions include agent-optimized toolkits for Power BI, Postman, Fireflies, and Insightly, plus upgrades to Gmail, Excel, Outlook, and Linear. Arcade also supports MCP Extensions (now official) and stateless MCP protocol as session IDs are deprecated. It works with any LLM, any framework, and any MCP client, integrating with what your team already uses to avoid lock-in. Since mid-2026, Arcade has gone further: it acquired Smithery, the MCP registry and hosting platform; added RBAC; launched in the Cisco Duo Marketplace; and published a complete guide to MCP '26, the largest spec revision since launch. It now supports both MCP protocol versions on day one, absorbing churn from the new stateless core and authorization hardening. New step-up auth with Cisco Duo gives extra security for sensitive actions. Unlike general-purpose auth libraries or tool orchestrators, Arcade is purpose-built for agentic AI. The team hails from Okta, Snowflake,
Behind the Verdict
Most AI agents never make it past the demo. They hit the same three walls: authorization, reliability, and governance. Arcade attacks all three in one layer, so your agents can actually take actions in production. Pick Arcade when your agents need to act on behalf of real users with real permissions, not shared tokens. It plugs into your existing identity provider, so you skip building auth infrastructure. Credentials stay in the runtime, which makes security review far less painful. We'd reach for it when you need to answer 'what did this agent do, for which user, in which system?' for every action. Where it bites: Arcade is overkill for quick prototypes or single-user agents using only public APIs. If you already have auth infra and just need tool orchestration, a lighter tool might do. And if your agents are self-contained with zero external integrations, you don't need a runtime at all. Compared to Composio, Arcade is more focused on auth and governance—it authored the MCP tool authorization spec. Composio is broader on tools, but Arcade's strength is its security posture. The Smithery acquisition adds a registry and hosting platform, which bolsters its MCP ecosystem. Real-world caveat: watch your token budget. Arcade maps intent to the right API call the first time, reducing retries, but you still pay for auth events and tool calls as you scale. Start on the Free tier, then move to Team ($25/mo + usage) when you hit limits.
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Real-world workflow fit
Concrete scenarios for the personas Arcade AI actually fits — and what changes day-one when you adopt it.
Your team is building a support agent that needs to read Slack history, create Jira tickets, and update Salesforce. You need OAuth connections and audit logs to pass security review.
Outcome: You sign up for the Team plan, use Arcade's MCP tools to connect to Slack, Jira, and Salesforce, and set up dynamic user permissions. The central control plane gives you a full audit trail, and the agent passes security review within days.
You want to ship an AI sales agent that can send emails via Gmail and update CRM records on behalf of reps, but you don't want to build custom auth infrastructure.
Outcome: With the free tier, you prototype in a weekend. As you scale, you upgrade to Team, using Arcade's pre-built Google Workspace and Salesforce integrations. The agent takes secure actions without storing tokens, and you avoid the cost of an auth engineer.
You need to deploy an internal agent that accesses Power BI and Excel, but you require on-prem deployment, RBAC, and full audit logs.
Outcome: You choose the Enterprise plan, deploy Arcade in your VPC, configure SSO and RBAC, and use the step-up auth with Cisco Duo. The audit trail lets you answer 'who did what' for every action, and the agent passes compliance review.
Use Cases
- Automate CRM updates by letting an AI agent read and write Salesforce records on behalf of sales reps.
- Enable an AI assistant to send emails via Gmail with user-specific authorization without storing tokens.
- Build a support agent that queries Slack history and creates tickets in Jira with per-user permissions.
- Deploy an onboarding agent that reads Google Calendar and sends personalized welcome messages via Slack.
- Create a data analysis agent that accesses Google Sheets and generates reports with user-specific view permissions.
- Power an AI sales agent that analyzes calls, emails, and CRM data and takes secure actions on behalf of a rep.
Models Under the Hood
as of 2026-09-14
Limitations
- The free tier limits you to 2,000 auth events and 2,000 tool calls per month.
- The Team plan costs $25/month platform fee plus usage, with auth events at $0.10 each and tool calls at $0.01 each.
- Enterprise features like SSO, RBAC, audit logs, and flexible deployment (VPC or air-gapped) require custom pricing.
as of 2026-08-24
Verification history
We have re-verified Arcade AI 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Arcade AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/month
Ideal for
Solo developers and small teams prototyping their first agent or evaluating Arcade's core capabilities without committing budget.
What this tier adds
Entry point with $0 platform fee, 2,000 auth events and 2,000 tool calls per month, managed cloud hosting, and community support.
Team
$25/month + usage
Ideal for
Startups and engineering teams moving agents from prototype to production, expecting moderate usage and needing more quota than the free tier.
What this tier adds
Adds a $25/month platform fee, usage-based pricing at $0.10 per auth event and $0.01 per tool call, and next-business-day email support.
Enterprise
Custom
Ideal for
Large enterprises and security-sensitive organizations that require custom deployment, advanced governance (SSO, RBAC, audit logs), and dedicated support.
What this tier adds
Adds annual bundles, discounted rates, flexible deployment (VPC, air-gapped), 24/7 SLA support, dedicated FDE, and SSO/RBAC/audit logs.
Where the pricing makes sense
The company stage and team size where Arcade AI's pricing actually pencils out — and where peers do it cheaper.
Pricing is per-event, not per-seat, so it scales with actual usage. The free tier ($0) is generous for prototyping; Team at $25/mo + usage is competitive for production. Compared to Composio, which charges similar per-action fees, Arcade's focus on auth and governance may justify the cost for enterprise teams. Enterprise pricing is custom, likely higher than some competitors but includes SSO, RBAC, and audit logs that others may charge extra for.
Setup time & first value
How long it actually takes to get something useful out of Arcade AI — broken out by persona, not the marketing-page minute.
For a prototype, you can be up and running in under an hour: sign up, connect an identity provider, and call your first MCP tool. For production, allow a few days to set up RBAC, SSO, and audit logging, and to integrate with your existing stack (Okta, Slack, etc.). On-prem or air-gapped deployment may take longer depending on your environment.
Switching to or from Arcade AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Composio: Arcade offers a similar tool orchestration layer but with stronger auth and governance. You can port your tool definitions to MCP and use Arcade's control plane.
- →From custom-built auth: If you've built OAuth flows manually, Arcade replaces them with its identity provider integrations, letting you remove that code.
- →From LangChain tools: Arcade integrates with LangChain, so you can replace individual tools with Arcade's MCP tools and retain your existing chain logic.
- ↗To Composio: If you need a lighter tool orchestration layer without the auth focus, Composio offers a similar API.
- ↗To custom auth: If you have the team to build and maintain auth infrastructure, you can migrate off Arcade, but you'll lose the audit and governance features.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Arcade AI”, and we withheld 6: 6 could not be judged, because “Arcade AI” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Arcade AI.
Official links
Featured Head-to-Head Comparisons
Statewave vs Arcade Ai
Pick Statewave if your bottleneck is agents forgetting context and you want to self-host a memory layer you fully control. Pick Arcade AI if your bottleneck is securely connecting agents to real user accounts and enterprise tools — it ships auth, governance, and a huge MCP catalog out of the box. Most teams shipping production agents today will find Arcade's faster time-to-value worth the trade-off, unless you have a very specific memory-heavy use case.
Npm I G Hotcell vs Arcade Ai
If you need airtight local control and privacy for agent experiments, hotcell is your choice. But if you're shipping agents that act in real user accounts across enterprise tools like Salesforce or Slack, Arcade AI's pre-built auth, governance, and MCP tools will save you months — and its SOC 2 compliance makes the security review a non-event. Pick hotcell for sandboxed iteration, Arcade for production.
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