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mcp.run vs Cortex

mcp.runCortex

Bottom line: mcp.run for developers building on MCP; Cortex for aPI teams with maintained specifications.

mcp.runmcp.run

Platform to discover, install, and run MCP servers and tools

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CortexCortex

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

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Votes00
PricingFreemiumFree
CategoryMcpMcp
Tags
mcpmodel-context-protocolai-toolswebassemblyagent-tools
mcp serverapi documentationsdk generationopenapiopen source
Best for
  • Developers building on MCP
  • Teams distributing internal tools to agents
  • Security-conscious agent builders
  • API teams with maintained specifications
  • Teams exposing APIs to agents via MCP
  • Open-source projects needing docs and SDKs
Pros
  • Curated registry of MCP servers/servlets
  • Portable, sandboxed Wasm execution model
  • Dynamic reprogrammable MCP server for on-demand tools
  • Built by Dylibso, a WebAssembly specialist
  • Works across MCP clients like Claude and Cursor
  • 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
  • Value depends on MCP ecosystem adoption
  • Wasm servlet model is a newer paradigm to learn
  • Registry breadth still maturing versus large directories
  • Primarily developer-focused
  • Enterprise features and pricing less publicized
  • 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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