OlympHill
Arcade logo

ArcadeAction layer for AI agents to execute real tasks across apps and APIs

4.5 (4)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026
Developer ToolsAI AgentsAPISDKAutomationAuthenticationIntegrations

Overview

Arcade is a developer platform that extends AI assistants beyond conversation, enabling them to take real actions across third-party services. It provides a toolkit and runtime for connecting language models to APIs, handling authentication, and executing workflows on behalf of users. The platform focuses on the practical challenges of agentic AI, including secure OAuth flows, permission management, and reliable tool calling. Developers can use prebuilt integrations or define custom tools that agents can invoke to read data, send messages, update records, or trigger other operations. Arcade is aimed at teams building AI copilots, autonomous agents, or workflow automation features who need their models to interact with software systems rather than only generate text responses.

Key features

  • Tool calling runtime for LLMs
  • Managed authentication and token handling
  • Prebuilt integrations for popular SaaS apps
  • Custom tool definition SDK
  • Permission and access controls
  • Compatible with major model providers

Pricing

Model
Free
Category
AI Agents Platform
Rating
4.5 / 5 (4)

Use cases

Build AI Copilots with Real Actions

Developers can equip AI copilots with the ability to read data, send messages, and update records across SaaS apps using prebuilt integrations and managed OAuth flows.

Power Autonomous Agent Workflows

Enable autonomous agents to execute multi-step workflows across third-party APIs with reliable tool calling, permission controls, and secure token handling.

Define Custom Tools for LLMs

Use the SDK to define custom tools that language models can invoke, extending agent capabilities to proprietary APIs or internal systems beyond prebuilt integrations.

Add Automation to Existing Products

Product teams can embed workflow automation features into their apps, letting AI trigger operations on behalf of users without building auth infrastructure from scratch.

Pros & Cons

Pros

  • Handles complex OAuth and auth flows for agents
  • Library of prebuilt tool integrations
  • Works with multiple LLM providers
  • Developer-focused SDK and APIs

Cons

  • Requires technical implementation skills
  • Limited value for non-developer users
  • Newer platform with evolving ecosystem

Reviews

4.5

Average from 4 ratings.

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Marcus Bell

Dec 4, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is tool calling runtime for LLMs — handled better than most — and handles complex OAuth and auth flows for agents. Limited value for non-developer users is my one real gripe. Worth the time if this is your use case.

Jamal Carter

Jamal Carter

Nov 27, 2025

Does the job

Pretty happy overall. Prebuilt integrations for popular SaaS apps just works and developer-focused SDK and APIs. Limited value for non-developer users can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Elena Rossi

Elena Rossi

Jul 20, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on tool calling runtime for LLMs, and handles complex OAuth and auth flows for agents caught me off guard. still, I'd recommend giving it a real trial.

Leila Hassan

Leila Hassan

Jul 6, 2025

Use it every day

Honestly didn't expect to like it this much. Prebuilt integrations for popular SaaS apps is exactly what I needed, and library of prebuilt tool integrations. but I reach for it almost every day now and it just clicks.

Q&A

Is Arcade compatible with existing AI development frameworks?

Yes. Arcade is framework agnostic. Build with LangChain, LlamaIndex, Mastra, CrewAI, Pydantic, Google ADK, or OpenAI Agents. The same flexibility extends across the stack: any agent client, including Claude, Cursor, ChatGPT, Copilot, or your own, and any LLM. Connect the Arcade runtime to your existing Python or JavaScript codebase and your agents start taking authorized actions right away.

Asked by Ulrik Madsen · Sep 22, 2025

What tools can AI agents access using Arcade?

AI agents using Arcade access a catalog of pre-built Model Context Protocol tools for major systems like Google Workspace, Slack, Microsoft, and Salesforce. Developers can also build custom tools using the open-source Arcade framework in Python or JavaScript, or bring existing MCP tools into Arcade. The Arcade Registry lets you share and discover all your MCP tools.

Asked by Rosalind Frost · Sep 22, 2025

Can I add custom policies to Arcade for AI agents?

Yes. Arcade supports pre- and post-tool-call hooks that let your team add custom policies without forking the runtime. Inspect every request before it runs and every response before it returns. Block sensitive actions, redact PII, and stop data from leaving systems it shouldn't. The runtime enforces your policies on every call.

Asked by Stella Papadopoulos · Sep 7, 2025

Can I deploy Arcade on my own infrastructure?

Yes. You can deploy the Arcade MCP runtime in your own cloud environment, a virtual private cloud, on-premises, or in a fully air-gapped environment. This deployment flexibility gives enterprise teams control over where data lives and how it is secured.

Asked by Kwame Mensah · Sep 6, 2025

How does Arcade secure AI agent actions?

Arcade enforces user-specific permissions through your existing OAuth and identity provider flows. Agents act only on behalf of the authenticated user, not through broad service accounts. The runtime gives you visibility and control over every tool your AI agent accesses.

Asked by Quoc Bui · Aug 26, 2025

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