Echo MCP Server

Echo AI MCP Server

A remote MCP server for Echo AI, a no-code platform for building AI chatbots, assistants and agents.

Connecting an Echo AI account to any MCP-compatible client lets the agent:

• List the Echos you choose to share
• Read an Echo's configuration and analytics
• Review recent conversations
• Send messages to an Echo
• Fetch a ready-to-paste embed snippet for any website or app
• Get the full headless integration guide (REST API, streaming chat, commerce, booking, tickets, voice)

Endpoint

https://auth.echoai.so/functions/v1/mcp

Transport: Streamable HTTP (MCP spec 2025-06-18)

Authentication

OAuth 2.1 with PKCE and Dynamic Client Registration.

First connection triggers an in-browser approval screen where you sign in to Echo AI and pick which Echos to share. The connected client receives a scoped access token that only works for the selected Echos.

Discovery

• https://echoai.so/.well-known/oauth-authorization-server
• https://echoai.so/.well-known/oauth-protected-resource
• https://echoai.so/brand/mcp/server.json

MCP client config

{
  "mcpServers": {
    "echo-ai": {
      "url": "https://auth.echoai.so/functions/v1/mcp"
    }
  }
}

Cursor

One-click install:

Manual install: open Cursor Settings > Tools & MCP > New MCP Server, or edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "echo-ai": {
      "url": "https://auth.echoai.so/functions/v1/mcp"
    }
  }
}

On first use Cursor registers itself automatically and opens the Echo AI OAuth approval screen.

Lovable

1. Open Lovable Connectors, scroll to the bottom of the All view and pick the Custom card labelled MCP ("Connect your own MCP").
2. Server name: Echo AI
3. Server URL: https://auth.echoai.so/functions/v1/mcp
4. Authentication: leave OAuth selected, then click Add & authorize.
5. Sign in to Echo AI and choose which Echos to share.

Lovable can then read your Echos as live context while you build, for example: "Using the Echo AI connector, get the embed snippet for my support Echo and add it to this page."

Windsurf

1. Open Windsurf and go to Settings > Tools > Windsurf Settings > Add Server.
2. If Echo AI is not in the template list, click View raw config and edit ~/.codeium/mcp_config.json.
3. Add the Echo AI entry:

{
  "mcpServers": {
    "echo-ai": {
      "serverUrl": "https://auth.echoai.so/functions/v1/mcp"
    }
  }
}

1. Save and press Refresh in the MCP panel. The first time you use a tool, Windsurf opens the Echo AI OAuth approval screen in your browser.

Supported scopes

• echos:read - list Echos, read config, analytics, conversations
• echos:chat - send messages to an Echo

Tools

• list_echos - list the Echos the connected account can access
• get_echo - full configuration for one Echo
• get_embed_snippet - copy-paste widget embed code for an Echo
• get_headless_integration - full headless build guide: REST API, streaming chat, commerce, booking, tickets, voice and a ready React component
• get_echo_analytics_summary - conversations, messages and usage summary
• list_recent_conversations - recent chat sessions for an Echo
• get_conversation_history - messages in one conversation
• send_message_to_echo - chat with an Echo (consumes the owner's Echo AI credits)

Resources

• Website: https://echoai.so
• Docs: https://echoai.so/api#mcp
• Privacy: https://echoai.so/privacy
• Terms: https://echoai.so/terms
• Support: dens@echoai.so
• Logo pack: https://echoai.so/brand/mcp/echo-mcp-logo-pack.zip

Reviewer test account

Available on request for directory reviewers. Contact dens@echoai.so.