Arcade

Agent Infrastructure

Visit Website

Founded

2024

Location

San Francisco, CA

Funding

$12M Seed (2025)

Arcade (Arcade.dev) — AI Tool‑Calling Platform for Secure, Actionable Agents

Arcade is an AI tool‑calling platform that lets agents take real, user‑authorized actions through authenticated integrations—so you can go beyond chat and make AI actually do things. Visit the [Website](https://arcade.dev), explore the [Docs](https://arcade.dev), read the [Blog](https://arcade.dev), check out [GitHub](https://arcade.dev), and view [Pricing](https://arcade.dev).

Why Arcade Matters

Most AI “chat” agents stop at the boundary of action. Arcade adds enterprise‑grade authorization, multi‑user security, and a tool registry so actions are safe, auditable, and repeatable.

For platform teams, Arcade centralizes OAuth, policy, logging, and evals—reducing glue code and production risk.

Key Capabilities

**Tool Registry/Marketplace**: Build once, publish, and let agents discover and call tools via the Arcade Registry.

**TDK/SDK + Worker Runtime**: Ship custom tools with a Tool Development Kit, worker, CLI, and shared evals; open‑source components are highlighted on [GitHub](https://arcade.dev).

**Production OAuth with URL Elicitation**: Secure, multi‑user authentication keeps tokens out of model context and tool I/O.

**Framework Connectivity**: Native support for the [Model Context Protocol (MCP)](https://modelcontextprotocol.io); works with [OpenAI function calling](https://platform.openai.com/docs/guides/function-calling), LangGraph, and Open Agents SDK.

**Observability & Evals**: Instrument, test, and publish evals; monitor usage and performance.

**Dashboard**: Manage tools, users, deployments, and policies from a centralized console.

**Flexible Hosting**: Arcade Cloud by default, with guidance for self‑hosting referenced by partners like WorkOS.

How It Works

1) **Build**: Create tools with the TDK and run them in the worker runtime.

2) **Publish**: List tools in the Arcade Registry for multi‑framework access.

3) **Authorize**: Configure OAuth providers; use URL elicitation to keep secrets out of prompts.

4) **Connect**: Call tools via MCP or function calling from your agent framework.

5) **Ship**: Use evals, logging, and a deployment dashboard to move from dev to prod.

Framework Compatibility

**MCP (native)**: Tutorials and examples for building MCP servers.

**OpenAI Function Calling**: Standard JSON‑schema tool invocation.

**LangGraph + Open Agents SDK**: Step‑by‑step integration guides available via the [Blog](https://arcade.dev).

Popular Integrations and Auth Providers

Built‑in patterns for providers like [Google](https://www.google.com), [Microsoft](https://www.microsoft.com), [Zoom](https://zoom.us), [Discord](https://discord.com), [Dropbox](https://www.dropbox.com), [Atlassian](https://www.atlassian.com), [Salesforce](https://www.salesforce.com), [Twitch](https://www.twitch.tv), [Reddit](https://www.reddit.com), and [Slack](https://slack.com) (via MCP examples).

See setup details in the [Docs](https://arcade.dev).

Security and Governance

**Multi‑user OAuth** and scoped permissions designed for enterprise environments.

**URL elicitation** keeps credentials and tokens out of model prompts and tool I/O.

**Centralized policy, audit logs, and user‑level access control** for compliance and oversight.

Operational transparency via the [Status Page](https://arcade.dev) and [Trust Center](https://arcade.dev).

Pricing and Plans

**Free Hobby tier**, plus Growth and Enterprise. Start with a free trial on the [Pricing](https://arcade.dev) page.

Ideal Users

Developers and platform teams building agentic applications with real, user‑authorized actions.

AI platform owners who want centralized OAuth, policy, logging, and evals for tools.

Enterprises that require multi‑tenant security, auditability, and separation of credentials from prompts.

Common Use Cases

**Workplace assistants**: Real access to Slack, Gmail, calendars, files, and docs through MCP and OAuth.

**Data and ops agents**: Query operational data (e.g., Postgres) via LangGraph + MCP.

**Custom tool orchestration**: Call proprietary tools from Open Agents SDK through Arcade’s registry and runtime.

**Commerce agents**: Complete purchases using agent card tooling and governed flows.

Ecosystem and Open Source

Open‑source components include the TDK, worker, evals, and CLI (see [GitHub](https://arcade.dev)).

Growing library of tutorials and partner write‑ups on the [Blog](https://arcade.dev).

Market Perception

Pros

Strong alignment with MCP and modern agent tool abstractions (active community around [MCP](https://modelcontextprotocol.io)).

Clear production focus on OAuth, multi‑user security, and policy controls; practical, code‑first docs and examples.

Expanding registry ecosystem.

Cons

Limited third‑party reviews; early on major review sites.

As an early‑stage platform, teams should evaluate lock‑in and infrastructure reliance.

Framework interoperability is evolving—validate fit and performance for your stack.

Company and Funding

HQ: San Francisco, CA; team size ~11–50 (per LinkedIn).

Funding: $12M seed aimed at agent security and authorization at scale (see coverage via the [Blog](https://arcade.dev)).

Getting Started

Read the [Docs](https://arcade.dev) to configure OAuth providers and MCP servers.

Try the Hobby plan on the [Pricing](https://arcade.dev) page.

Explore integration tutorials for LangGraph, MCP, and Open Agents SDK on the [Blog](https://arcade.dev).

Review the [Trust Center](https://arcade.dev) and [Status Page](https://arcade.dev) for operational transparency.

Quick FAQs

What is Arcade?

An AI tool‑calling platform and registry that lets agents take secure, user‑authorized actions through authenticated integrations.

How does it keep credentials safe?

Production OAuth and URL elicitation ensure tokens never enter model context or tool I/O.

Which frameworks does it support?

Native MCP support, plus OpenAI function calling, LangGraph, and Open Agents SDK.

Is there a free tier?

Yes—Hobby tier, with Growth and Enterprise options on [Pricing](https://arcade.dev).

Can I self‑host?

Arcade Cloud is default; self‑hosting guidance is referenced via partner overviews.

Helpful Links

[Website](https://arcade.dev)

[Docs](https://arcade.dev)

[Blog](https://arcade.dev)

[GitHub](https://arcade.dev)

[Pricing](https://arcade.dev)

[Status](https://arcade.dev)

[Trust](https://arcade.dev)

[MCP](https://modelcontextprotocol.io)

[OpenAI Function Calling](https://platform.openai.com/docs/guides/function-calling)

Related Companies

Baseten

Inference is everything. Baseten is an AI infrastructure platform giving you the tooling, expertise, and hardware needed to bring great AI products to market - fast. Our proprietary Inference Stack utilizes the cutting-edge of performance research combined with highly performant and reliable infrastructure to give you out-of-the-box global availability with 99.99% of uptime.

Cast AI

Increase your profit margin without additional work. CAST AI cuts your cloud bill in half, automates DevOps tasks, and prevents downtime in one Autonomous Kubernetes platform.

Ciroos

Ciroos (pronounced "Sai-rose") offers an AI SRE teammate that empowers site reliability engineers (SREs), DevOps and operations teams to be superheroes. Built from the ground up with the power of multi-agentic AI, Ciroos enables operations teams to reduce toil, investigate incidents, explain anomalies, and drive autonomous operations, across complex multi-domain environments, all while leaving humans in control. Reach out to us at www.ciroos.ai to learn more about what an AI SRE Teammate can do for you.

Context.ai

Context is the first AI Office Suite that automates your workflow by creating documents, presentations, spreadsheets, and more using your data, tools, and style.

Databricks Mosaic AI

Databricks is the Data and AI company. More than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Featureform

Featureform makes it easier for developers to deliver the right data, at the right time, for the next generation of intelligent systems. Our open-source products, Featureform and EnrichMCP, give teams the tools to build and serve structured data for machine learning and unlock that same data for AI agents through a semantic layer.