Hatchery MCP · 0.1.0

Hatchery’s published knowledge.
In your AI tools.

Explore our products, services, case studies, and answers through a scoped connection. Every useful answer can point back to its source.

A clear connection. A useful first question.

Get your connection key

Ask your Hatchery service administrator for a key and the content scopes you need: pages, products, case studies, news, and FAQ.

This is a read-only website connection. Keys have an expiry and can be revoked. Hatchery and RedRover use separate keys.

Endpoint

https://www.hatchery.com/mcp
Read the full setup guide

Start with a real question

  • “Use hatchery_context to show what I can read.”
  • “Explain RedRover’s MCP capabilities with source links.”
  • “Find Hatchery’s AI and SaaS case studies.”
  • “What MCP services can Hatchery build for my product?”

The tools read published content. They cannot edit the site, send messages, or access private account records.

Choose your client

Codex

Add this to your ~/.codex/config.toml. Set the key in the environment that launches your client, then reopen it and start a new chat.

[mcp_servers.hatchery]
url = "https://www.hatchery.com/mcp"
bearer_token_env_var = "HATCHERY_MCP_KEY"
tool_timeout_sec = 60
Official OpenAI MCP documentation →

Claude Code

Use a project .mcp.json with an environment placeholder. Set the key before launching Claude Code, then inspect the connection with /mcp.

{
  "mcpServers" : {
    "hatchery" : {
      "url" : "https://www.hatchery.com/mcp",
      "headers" : {
        "Authorization" : "Bearer ${HATCHERY_MCP_KEY}"
      },
      "type" : "http"
    }
  }
}
Claude Code MCP documentation →

Eight tools. Published sources.

Connection context · Page catalogue · Page content · Search · Products · Case studies · News · FAQ

Content includes source links and current fetch times. Use the guide for tool names, arguments, terminal examples, and troubleshooting.

Developer referenceMCP development services