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Glama vs Cortex

GlamaCortex

Bottom line: Glama for developers evaluating MCP servers; Cortex for aPI teams with maintained specifications.

GlamaGlama

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

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CortexCortex

Turn API specifications into docs, typed SDKs, and an MCP server

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Votes00
PricingFreemiumFree
CategoryMcpMcp
Tags
mcpregistrygatewayllm-apiinspector
mcp serverapi documentationsdk generationopenapiopen source
Best for
  • Developers evaluating MCP servers
  • Teams wanting gateway governance
  • Open-source server authors seeking free hosting
  • API teams with maintained specifications
  • Teams exposing APIs to agents via MCP
  • Open-source projects needing docs and SDKs
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
  • MIT licensed with a public repository
  • Generates docs, SDKs, and an MCP server from one spec
  • Supports OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC
  • Eleven SDK output languages
  • Fully self-hostable, deployable anywhere Node runs
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
  • Output quality depends entirely on spec quality
  • No hosted service or commercial support
  • Requires a build step in your pipeline
  • No team collaboration features
  • Young project with a small ecosystem

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