Arcade MCP vs FastMCP

Side-by-side comparison of two AI agent tools

Short answer

  • FastMCP is growing faster: +180 GitHub stars in the last 30 days vs +33 for Arcade MCP.
  • Pick Arcade MCP for: the best way to create, deploy, and share MCP Servers. Pick FastMCP for: the fast, Pythonic way to build MCP servers and clients.

From GitHub data refreshed daily.

Arcade MCPopen-source

The best way to create, deploy, and share MCP Servers

F
FastMCPopen-source

πŸš€ The fast, Pythonic way to build MCP servers and clients.

Metrics

Arcade MCPFastMCP
Stars1.0k28.0k
Star velocity /mo33.333333333333336180
Commits (90d)31490
Releases (6m)010
Overall score0.4780213456901140.7551726720803966

Pros

  • +CLI-based project scaffolding with `arcade new` command streamlines server creation and setup
  • +Built on standardized MCP protocol ensuring compatibility with AI systems that support the standard
  • +Part of larger Arcade.dev ecosystem with prebuilt tools, examples, and comprehensive documentation

    Cons

    • -Requires understanding of MCP protocol concepts and Python development for effective use
    • -Relatively niche ecosystem compared to broader API integration approaches
    • -Limited to MCP-compatible AI systems and clients

      Use Cases

      • β€’Building custom tool servers to extend AI assistant capabilities with domain-specific APIs
      • β€’Creating reusable MCP servers for common integrations like databases, file systems, or web services
      • β€’Developing specialized AI tool ecosystems for enterprise or research environments

        FAQ

        Which is more popular, Arcade MCP or FastMCP?
        FastMCP has more GitHub stars (27,958 vs 1,044).
        Which is more actively developed, Arcade MCP or FastMCP?
        FastMCP had more commits in the last 90 days (490 vs 31).
        Should I use Arcade MCP or FastMCP?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.