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Head-to-Head Comparison

Smithery vs Arcade

Compare features, pricing, integrations, and community reviews

Smithery

Smithery

AI Tools

A marketplace for Model Context Protocol (MCP) servers, enabling AI agents to connect to external services and extend their capabilities.

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Arcade

Arcade

AI Tools

Arcade is an AI tool-calling platform that provides a runtime environment for AI agents. It facilitates connections with third-party software, managing authentication, tool access, and governance. The platform specifically focuses on AI agent tool calling using the Model Context Protocol (MCP). It operates as an open-source marketplace, offering community-managed connectors for agents to interact with various API endpoints and MCP tools. Arcade provides a pre-built catalog of tools and an SDK for developing custom tools and MCP servers. The platform also includes features for testing and evaluating agent behavior.

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Pricing

Freemium
Paid

Key Features

  • Connect to thousands of MCP tools
  • Manage OAuth and sessions
  • CLI for easy integration
  • Pre-built workflows for agent behavior
  • Observability for published tools
  • Not available

Integrations

  • Instagram
  • Google Sheets
  • Linkup
  • AgentMail
  • Mesh MCP
  • Context7
  • Supabase
  • Google Calendar
  • Not available

Platforms

  • Web
  • CLI
  • Not available
0

Community Verdict

Smithery

No reviews yet

Arcade

No reviews yet

At a Glance

Smithery

Best For

Developers and businesses looking to enhance AI capabilities

Pricing

Subscription SaaS

Key Features

Connect to thousands of MCP tools, Manage OAuth and sessions, CLI for easy integration, Pre-built workflows for agent behavior, Observability for published tools

Integrations

Instagram, Google Sheets, Linkup, AgentMail, Mesh MCP, Context7

Arcade

Pricing

paid

Key Features

Offers an open-source marketplace for community-managed connectors. · Supports the Model Context Protocol (MCP) for AI agent tool calling. · Secured $60 million in Series A funding in June 2026, totaling $72 million.

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