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Switch vs Cortex

SwitchCortex

Bottom line: Switch for engineering teams running their own agents; Cortex for aPI teams with maintained specifications.

SwitchSwitch

Bring any AI agent into Slack, Teams, Discord, or Telegram as a named participant

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CortexCortex

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

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Votes00
PricingFreeFree
CategoryAi AgentsMcp
Tags
slack agentsopen sourceself-hostedteam collaborationagent protocol
mcp serverapi documentationsdk generationopenapiopen source
Best for
  • Engineering teams running their own agents
  • Organisations with self-hosting requirements
  • Teams standardising agent access across chat tools
  • API teams with maintained specifications
  • Teams exposing APIs to agents via MCP
  • Open-source projects needing docs and SDKs
Pros
  • Open source and fully self-hostable
  • Works with many agent frameworks and providers
  • Agents join as real participants with shared history
  • Per-room context, participants, and rules
  • Supports Slack, Teams, Discord, Telegram, and Mattermost
  • 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
  • Commons Clause restricts commercial resale
  • Still labelled early access
  • No published pricing for a hosted option
  • Requires infrastructure to run, including PostgreSQL
  • Setup effort is higher than an off-the-shelf chatbot
  • 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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