Apollo.io MCP Server
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- AlicenseBqualityDmaintenanceA Model Context Protocol server implementation that enables AI assistants to interact with Apollo.io data, allowing for people and organization enrichment, search capabilities, and job posting retrieval through natural language commands.7102 npmMIT
- FlicenseBqualityCmaintenanceA Model Context Protocol (MCP) server for the Apollo.io API, giving AI coding assistants direct access to Apollo.io's sales intelligence platform for prospecting, enrichment, CRM operations, and outreach.505-
- AlicenseNot gradedqualityDmaintenanceMCP server for the Apollo.io API that lets LLMs search and enrich people and company data.66 npmMIT
- AlicenseBqualityAmaintenanceMCP server for Apollo.io B2B database enabling people and company search, enrichment, and insights through conversational interfaces.92,939 npm19MIT

Apollo.io MCP Serverofficial
AlicenseNot gradedqualityCmaintenanceApollo.io MCP server for prospecting, lead enrichment, sales intelligence, and outreach workflows. Integrates Apollo.io go-to-market data into MCP-compatible AI applications.28MIT- AlicenseAqualityDmaintenanceMCP server for Apollo.io B2B sales intelligence API. Enables searching and enriching people and organizations via natural language.717 npm4MIT
TDQS
Scored across 7 tools
Most tools have distinct purposes, but there is some potential overlap between organization_search and organization_enrichment, as both involve company data retrieval. However, their descriptions clarify that search is for finding organizations while enrichment is for augmenting data on a known company, which helps mitigate confusion. The other tools target clearly different resources like employees, emails, job postings, and people.
The naming follows a consistent snake_case pattern throughout, which is good. However, there is a minor inconsistency: most tools use a verb_noun format (e.g., organization_search, people_enrichment), but employees_of_company uses a noun_of_noun structure, deviating slightly from the pattern. This does not severely impact readability but is a noticeable deviation.
With 7 tools, the count is well-scoped for a sales intelligence or recruitment domain, covering key operations like searching and enriching data for both organizations and people. Each tool appears to earn its place without feeling excessive or sparse, aligning well with the server's apparent purpose of data enrichment and lookup.
The tool set provides solid coverage for core workflows in the domain, including search and enrichment for both organizations and people, plus specific functions like finding employees and emails. A minor gap is the lack of update or delete operations, but this is reasonable for a read-heavy enrichment server. The surface supports common agent tasks without obvious dead ends.