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RevRing hosts two MCP (Model Context Protocol) servers:
  • Management server at https://api.revring.ai/v1/mcp: your AI tool works with your RevRing account. It can list and edit agents, place and end calls, and read transcripts and results.
  • Documentation server at https://docs.revring.ai/mcp: your AI tool searches the RevRing docs.

Management server

Authenticate with an API key from Developer > API Keys, sent as a bearer token (Authorization: Bearer rr_...) or as x-api-key. Everything the tools do is scoped to that key’s organization and runs through the same validation as the REST API. Read-only tools are marked as such, so clients can ask before running anything that changes your account or places a call. Claude Code
Cursor (~/.cursor/mcp.json) and VS Code (.vscode/mcp.json, under servers with "type": "http"):
Then ask, for example: “List my agents and show me the last five failed calls for the support agent” or “Raise the support agent’s turn timeout to 10 seconds.”
An API key gives full access to your organization. Use a dedicated key for AI tools so you can revoke it on its own.

Documentation server

RevRing hosts an MCP (Model Context Protocol) server that lets AI tools search our documentation directly. This means tools like Cursor, VS Code Copilot, Claude, and Claude Code can pull accurate, up-to-date information from RevRing docs while helping you build integrations.
Whether you’re writing API integration code, configuring agents programmatically, or building custom workflows — connecting this MCP server gives your AI assistant direct access to every guide, API reference, and code example in our documentation.

Connect to Cursor

Install RevRing MCP server in Cursor Click the button above to install the RevRing MCP server in Cursor. Or configure it manually: Add the following to .cursor/mcp.json in your project directory (or ~/.cursor/mcp.json for global access):
To verify it’s working, ask Cursor a question about RevRing — for example, “How do I send an outbound call with the RevRing API?”

Connect to VS Code

Install in VS Code — click to add the RevRing MCP server automatically. Or configure it manually: Create a .vscode/mcp.json file in your project root:
Open GitHub Copilot chat and ask a question about RevRing. VS Code may prompt you to trust the MCP server on first use — select Allow to enable it.

Connect to Claude

1

Open Claude settings

Navigate to the Connectors page in your Claude settings.
2

Add the RevRing MCP server

Select Add custom connector and enter:
  • Name: RevRing
  • URL: https://docs.revring.ai/mcp
3

Use in conversations

When chatting with Claude, select the attachments button (the + icon) and choose the RevRing connector. Claude can now search RevRing docs to answer your questions.

Connect to Claude Code

Run the following command in your terminal:
Verify the connection:

Connect to ChatGPT

1

Create a connector

In ChatGPT, navigate to your Connectors settings and create a new connector with the URL:
2

Use in conversations

Start a new chat, select the + menu, choose More, and select the RevRing connector.

What’s available

The MCP server exposes a search tool that AI applications use to query all indexed RevRing documentation. This covers:
  • Platform guides — telephony setup, inbound/outbound calls, agent tools, knowledge bases, webhooks, and more
  • API reference — every endpoint, request/response schema, and error code
  • Code examples — integration patterns and configuration samples
Most AI clients will call the search tool automatically when your question is relevant to RevRing. You can also explicitly ask your AI tool to search RevRing docs.

Use cases

  • Building API integrations — ask your AI tool to write code that sends calls, manages agents, or processes webhooks, and it will pull the correct endpoints and schemas from RevRing docs
  • Configuring agents — get accurate instructions for setting up tools, knowledge bases, conversation flows, and advanced settings
  • Debugging — describe an issue and your AI tool can search for relevant error codes, troubleshooting steps, and configuration requirements
  • Learning the platform — explore RevRing capabilities through natural conversation with any connected AI tool