apollo-io-mcp
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- AlicenseAqualityDmaintenanceMCP server for Apollo.io B2B sales intelligence API. Enables searching and enriching people and organizations via natural language.723 npm4MIT
- AlicenseAqualityCmaintenanceMCP server for Apollo.io B2B data discovery and enrichment, enabling company search, people search, contact enrichment, and organization firmographics through Apollo's REST API.8Apache 2.0

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.25MIT- AlicenseNot gradedqualityDmaintenanceMCP server for the Apollo.io API that lets LLMs search and enrich people and company data.85 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 gradedqualityDmaintenanceAn open-source, self-hosted MCP server for Apollo.io that gives AI agents direct access to Apollo's B2B sales intelligence database.MIT
TDQS
Scored across 9 tools
Most tools are clearly distinct by resource type (person vs. organization) and action (enrich vs. bulk enrich vs. search vs. get). Minor overlap exists between enrich_company and get_complete_organization_info, both retrieving organization details, but the descriptions and ID-vs-name/domain distinction clarify usage.
All tool names use a consistent snake_case pattern with the apollo_ prefix, and verbs are predictably structured (enrich, bulk_enrich, get, search). The naming is highly predictable and readable.
Nine tools are well-scoped for an Apollo data enrichment and search server, covering single and bulk operations without excessive duplication. Each tool has a clear purpose and the count is appropriate for the domain.
The surface covers enrichment, bulk enrichment, search, organization details, job postings, and news articles, which is strong coverage for Apollo's main use cases. Minor gaps exist, such as retrieving a person by ID directly or more granular job posting search, but agents can likely work around them via existing enrichment and search tools.