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The Connexease Gateway documentation is available as a hosted Model Context Protocol (MCP) server. Once connected, AI assistants such as Claude, Cursor, VS Code Copilot, Windsurf, Codex, and Gemini CLI can search and read these docs directly, so their answers about the Messaging API, Public API, Embedded Signup SDK, and the Gateway Dashboard are grounded in the current, official documentation instead of the model’s training data.
The documentation MCP server is public and read-only. It requires no account, sign-in, or API key, and it cannot read or change anything in your Gateway account. To manage applications, templates, webhooks, or sandbox numbers from an AI assistant, use the Gateway Customer MCP plugin instead.

What it provides

Tool names may appear with a slightly different prefix depending on your client; the server and behavior are the same.

Connect your AI tool

The server uses the Streamable HTTP transport. Pick your client below.
  1. Open Settings → Connectors.
  2. Click Add custom connector.
  3. Enter a name, for example Connexease Gateway Docs, and the URL https://docs.gateway.connexease.com/mcp.
  4. Click Add. No authentication is required.
  5. In a chat, open the tools menu and make sure the connector is enabled.
On Team and Enterprise plans, an organization owner may need to add the connector first.

Usage examples

After connecting, ask in natural language. Mentioning “Connexease Gateway docs” in your prompt helps the assistant pick the right tool.

Example prompts

Example conversation

The following is an illustrative flow. Responses are summarized; the assistant typically also includes code samples and links.

Tips

  • Ask for the source link. Adding “include the documentation link” to your prompt makes it easy to verify the answer.
  • Be specific about the API. Say “Messaging API” (sending and receiving messages) or “Public API” (templates, analytics, business profile, webhooks, API keys) to get the right reference.
  • Use the OpenAPI specs for exact schemas. Ask the assistant to read /openapi/openapi.json or /openapi/public-openapi.json when you need exact field names, enums, or response shapes.
  • Never paste secrets. The server does not need your API key; keep sk_ and pk_ keys out of chat prompts.

Troubleshooting