Apollo.io MCP Server

The Apollo.io MCP Server bridges the powerful Apollo.io data platform with AI assistants that speak Model Context Protocol (MCP). By exposing Apollo’s enrichment, search, and job‑posting endpoints as first‑class MCP tools, it lets developers give Claude or other AI assistants instant access to verified contact and company information without writing custom API wrappers. This solves the common problem of integrating third‑party data sources into conversational agents: instead of manually handling authentication, request formatting, and response parsing, the server presents a clean, type‑safe interface that the AI can invoke directly.

At its core, the server hosts a FastMCP service built on a lightweight . The client encapsulates all HTTP interactions with Apollo.io, handling rate limits and error mapping. Each MCP tool—such as , , or —is a thin wrapper around the corresponding Apollo endpoint. The data models in the package define precise input schemas (e.g., a single email or company domain) and output contracts, ensuring that the AI receives structured, predictable results. This type safety is crucial for downstream reasoning or chaining of tools.

Key capabilities include:

• People Enrichment: Pull detailed profile data for a single individual, including job title, company, and social links.
• Organization Enrichment: Retrieve comprehensive corporate information—size, industry, revenue, and headquarters—from a company domain or name.
• People Search: Find prospects by name, title, or location, returning a list of matched contacts.
• Organization Search: Locate companies based on industry, size, or geography.
• Job Postings Retrieval: Enumerate open positions for a target organization, enabling job‑matching or hiring workflows.

Developers can integrate these tools into Claude for Desktop by adding a simple entry in the configuration file, after setting the . Once registered, an AI assistant can request enriched data or search results in a single prompt, and the MCP server will handle all API calls transparently. This tight integration removes boilerplate code from application logic, allowing teams to focus on higher‑level business value rather than API plumbing.

In practice, the server shines in sales enablement, recruiting automation, and market research. A conversational assistant can answer questions like “Who is the current VP of Engineering at Acme Corp?” or “Show me all open software developer roles in Seattle for companies larger than 500 employees.” The assistant fetches the data from Apollo.io on demand, returning structured JSON that can be rendered in a UI or fed into further reasoning steps. By providing a unified, type‑checked interface, the Apollo.io MCP Server empowers developers to build richer, data‑driven AI experiences with minimal friction.