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Glama vs Credal

GlamaCredal

Bottom line: Glama for developers evaluating MCP servers; Credal for regulated enterprises adopting internal AI.

GlamaGlama

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

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CredalCredal

The control plane for governed enterprise AI agents.

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Votes00
PricingFreemiumPaid
CategoryMcpAi Security
Tags
mcpregistrygatewayllm-apiinspector
enterprise aiai governanceai agentsdata securitymcp
Best for
  • Developers evaluating MCP servers
  • Teams wanting gateway governance
  • Open-source server authors seeking free hosting
  • Regulated enterprises adopting internal AI
  • Security and IT teams governing agents
  • Organizations needing on-prem AI controls
Pros
  • 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
  • Strong governance, auditing and permissioning
  • Agent registry, builder and live-run tooling
  • Single-tenant and on-prem deployment options
  • MCP server support for governed tools
  • Trusted by regulated and large enterprises
Cons
  • 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
  • Enterprise-only with custom pricing
  • No public self-serve tier
  • Requires security review and IT rollout
  • Overhead for smaller teams
  • Overlaps with native vendor governance

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