DataForB2B MCP Server
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Alternatives to DataForB2B MCP Server
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- AlicenseNot gradedqualityCmaintenanceEnables users to size audiences, search for B2B people by role, company, industry, and location, and enrich contacts with verified work emails and mobile numbers inside MCP clients such as Claude, ChatGPT, and Cursor.MIT
- AlicenseAqualityDmaintenanceGive your AI agent access to 60M+ companies and 300M+ verified contacts. Enrich leads, find work emails, discover tech stacks, and identify buying intent — directly from Claude, Cursor, Windsurf, or any MCP-compatible AI agent.1119 npmMIT

FullEnrich MCPofficial
AlicenseNot gradedqualityAmaintenanceEnables AI agents to search B2B people and companies, enrich contacts with verified emails and mobile phone numbers via waterfall enrichment across 25+ providers, and export results as CSV or JSON. Supports prospecting, org mapping, candidate sourcing, and outreach workflows through OAuth-authenticated remote access from any MCP-compatible client.10MIT- FlicenseNot gradedqualityCmaintenanceEnables B2B lead intelligence through seven tools for company lookup, domain enrichment, person search, email finding, and startup discovery, accessible via MCP for AI agents.-

Basile MCPofficial
AlicenseNot gradedqualityCmaintenanceConnects MCP clients such as Claude, ChatGPT, Cursor, and VS Code to a hosted French B2B database for finding companies, executives, and contacts, counting results for free, and exporting prospects through OAuth without an API key.MIT- FlicenseBqualityDmaintenanceExposes Apollo.io API functionalities as MCP tools for people and organization enrichment, search, and job postings. Enables natural language interaction with Apollo.io data.516-
TDQS
Scored across 6 tools
Each tool targets a distinct resource type (people, companies, posts, jobs) or a distinct action (search vs. enrich). The descriptions clearly differentiate search_people from enrich_profile and search_company from enrich_company, with no overlapping purposes.
All tool names follow a consistent verb_noun pattern: search_* for discovery and enrich_* for data augmentation. This predictable structure makes it easy to infer function from the name alone.
With 6 tools, the set is well-scoped for a B2B data platform. Each tool covers a distinct data operation (search people, companies, posts, jobs; enrich profiles, companies) without redundancy or bloat.
The tool surface covers the full expected lifecycle for a B2B data provider: discovery via search across all major entity types, and enrichment for deeper data on individuals and companies. No obvious dead ends or missing critical operations like retrieving by ID or exporting results.