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Connect SmartAlex to ChatGPT, Claude, Cursor, and other AI assistants, then run your entire voice platform just by chatting: “create an agent for my clinic,” “start the follow-up campaign,” “show me yesterday’s calls.”
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ChatGPT

Hosted cloud endpoint. No install.
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Claude

Claude Desktop and Claude web, in two minutes.
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Claude Code

Cloud or local, one command.
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Cursor

Add to your .cursor/mcp.json.
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Gemini

Gemini CLI via settings.json.

Any MCP client

VS Code, Windsurf, and any MCP-compatible app.

New here? Connect in under 2 minutes

The Getting Started guide walks you through it step by step. No coding needed for the cloud option.

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What is MCP?

The Model Context Protocol is an open standard that connects AI assistants to external tools and data. Think of it as a universal adapter between your AI and SmartAlex. Instead of switching between dashboards, you just ask your AI assistant to manage contacts, launch campaigns, analyze calls, and track deals, all through conversation. MCP is supported by Claude, Claude Code, Cursor, VS Code (GitHub Copilot), ChatGPT, Gemini CLI, and a growing ecosystem of AI clients.

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What you can do

The SmartAlex MCP server exposes 28 tools, 7 resources, and 5 prompts, giving AI assistants full operational access to your SmartAlex workspace. Your AI client sits on one side, your workspace on the other, and MCP connects them across eight domains. At a glance, you can:
  • Manage contacts: list, create, update, and organize your contact database
  • Create voice agents: build an agent from a website URL or fully customize it, with automatic voice sync
  • Run campaigns: create campaigns, add contacts, start calling, and track progress
  • Analyze calls: browse call history and read full transcripts with sentiment data
  • Track deals: manage your sales pipeline from lead to closed
  • Set up webhooks: create event-driven integrations with external systems
  • Monitor the platform: check health, usage stats, and system status

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Tools (28)

SmartAlex exposes 28 tools across 8 domains, all prefixed smartalex_ so they never clash with other MCP servers.

Full tools reference

Every tool with its parameters, examples, and responses.

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Resources and prompts

Beyond tools, the server ships 7 read-only resources that give your AI client ambient context about your workspace, and 5 prompts that are ready-made workflows (campaign strategy, lead qualification, call analysis, and more).

Resources & prompts

The 7 context resources and 5 workflow prompts, and how to use them together.

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Supported AI clients

The SmartAlex MCP server works with any MCP-compatible client:

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Connect and authenticate

The server runs two ways: a hosted cloud endpoint you connect to by URL, or a local install over stdio. Both authenticate with an API key or OAuth.

Getting started

Connect a client in under two minutes.

Authentication

API keys, OAuth, scopes, and rate limits.

Architecture

Cloud vs local, and how it all fits.

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Next steps