What is mcp server (model context protocol)?
An MCP server implements the Model Context Protocol, exposing a platform's capabilities as tools that AI assistants and agents can call directly — so an assistant can search, reveal, and verify contacts as first-class actions rather than scraping a web page.
The Model Context Protocol is a standard way to give AI agents real tools. Instead of an assistant guessing at data or scraping a UI, an MCP server publishes a clear set of actions the agent can invoke — and the agent calls them the way a developer would call an API, but in natural language. It's the bridge between conversational AI and live systems.
For a contact platform, the MCP server turns the dataset into something an agent can use natively. Tools like search_leads, reveal_contact, and verify_email let an assistant build a prospect list, pull verified details, and check deliverability inside a single conversation or an automated agent workflow. The agent does the orchestration; the MCP server does the data.
This is where the AI-native distribution channel lives. Tools like Clay and a growing class of AI SDRs increasingly compose data sources through MCP rather than bespoke integrations. Exposing an MCP server from day one means an agent can adopt the platform without anyone writing custom glue code — the agent simply discovers the tools and uses them.
Crucially, the MCP server shares the platform's guarantees. It draws from the same credit balance, applies the same verification (invalids refunded), respects the same suppression, and uses the same never-expiring credits as the app and the REST API. An agent gets exactly the same honest data a human does — just through a different door.
Frequently asked questions
What is the Model Context Protocol?
A standard that lets AI assistants and agents call a service's capabilities as tools — search, reveal, verify — in natural language, rather than scraping a UI. An MCP server publishes those tools for any compatible agent to use.
What tools does the MCP server expose?
Contact actions such as search_leads, reveal_contact, and verify_email. They share the app's credits, verification guarantee (invalids refunded), suppression, and never-expiring balance, so an agent gets the same honest data a human does.