- 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
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/mcp.json) and VS Code (.vscode/mcp.json, under servers with "type": "http"):
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.Connect to Cursor
.cursor/mcp.json in your project directory (or ~/.cursor/mcp.json for global access):
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:
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: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
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