Arcade.dev vs Smithery

Detailed side-by-side comparison to help you choose the right tool

Arcade.dev

πŸ”΄Developer

MCP / Agent Infrastructure

Arcade.dev gives developers a secure MCP runtime for AI agents, including user authorization, hosted tools, and production controls.

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Starting Price

Custom

Smithery

πŸ”΄Developer

MCP / Agent Infrastructure

Smithery is an MCP marketplace and infrastructure layer for connecting AI agents to services. The homepage fetched during this run described the product as β€œConnect agents to services in minutes” and β€œGive agents more agency,” with auth, credentials, and sessions handled for users. It also showed 715 MCPs, which is a useful concrete signal: Smithery is not just a single connector, but a discovery surface for many Mod

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Starting Price

Custom

Feature Comparison

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FeatureArcade.devSmithery
CategoryMCP / Agent InfrastructureMCP / Agent Infrastructure
Pricing Plans8 tiers71 tiers
Starting Price
Key Features
  • β€’ Chrome extension screen capture for instant demo recording
  • β€’ Hotspots, guided tooltips, and callout annotations
  • β€’ Embeddable demos with customizable player appearance
  • β€’ Public catalog link advertising 9,538+ MCPs at research time
  • β€’ Searchable MCP registry with listings such as Context7, Microsoft Learn MCP, Browserbase, Airtable, and Blockscout MCP Server
  • β€’ CLI install and auth flow using npx smithery auth login, npx smithery mcp add, and tool-call commands

Arcade.dev - Pros & Cons

Pros

  • βœ“Directly targets one of MCP’s hardest production gaps: safe user-delegated actions
  • βœ“Transparent free and Growth pricing with usage units explained
  • βœ“Useful customer quotes from LangChain, Snyk, Sybill, and Eddo Learning validate the need

Cons

  • βœ—MCP production patterns are still new, so teams need architecture review
  • βœ—Usage units like challenges and pro tool executions require monitoring
  • βœ—Enterprise controls require custom pricing

Smithery - Pros & Cons

Pros

  • βœ“Good discovery layer for developers building MCP-enabled agents
  • βœ“Usage counts help identify mature or popular integrations
  • βœ“Can reduce the time required to connect agents to external services
  • βœ“Relevant to Claude, Cursor, Cline, and other MCP-capable workflows

Cons

  • βœ—Pricing page did not reveal clear plan amounts in fetched HTML
  • βœ—Registry quality can vary by individual MCP server publisher
  • βœ—Security review is still required before connecting credentials
  • βœ—Teams need to understand MCP permissions rather than installing everything blindly

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