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Toolhouse vs Glama

ToolhouseGlama

Bottom line: Toolhouse for agent developers; Glama for developers evaluating MCP servers.

ToolhouseToolhouse

Cloud-hosted tool infrastructure and execution for AI agents

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GlamaGlama

MCP server registry, in-browser inspector, and gateway with an LLM API bundled in.

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Votes00
PricingFreemiumFreemium
CategoryMcpMcp
Tags
mcpagent-toolstool-executionmulti-agentinfrastructure
mcpregistrygatewayllm-apiinspector
Best for
  • Agent developers
  • Multi-agent teams
  • MCP builders
  • Developers evaluating MCP servers
  • Teams wanting gateway governance
  • Open-source server authors seeking free hosting
Pros
  • Managed, low-latency tool execution
  • Removes need to host tooling yourself
  • Python-first and multi-agent oriented
  • Fits the MCP ecosystem
  • Ready-to-use tool library
  • Very large indexed server catalog
  • In-browser MCP Inspector for safe testing
  • Gateway adds logging, access control, and managed OAuth
  • Bundled unified LLM API across major providers
  • Free hosting for open-source servers
Cons
  • Younger entrant in a crowded space
  • No self-hosting option
  • Primarily Python-focused
  • Overlaps with DIY MCP servers
  • Positioning and depth still maturing
  • Self-reported scale is hard to independently verify
  • Per-server-instance pricing may surprise some users
  • Hosted-only platform, no self-hosting of Glama itself
  • Crowded, fast-changing registry landscape
  • Third-party server trust remains the user's responsibility

Comparison generated from each tool's listing. Add or remove tools above to change it.