Written by the Lusha content team. We sell one of the three products compared here. Every Lusha figure below comes from our own connector documentation and from live runs published on Campus with dates. Competitor facts come from their public documentation as of September 12, 2026, and are linked. Where we lose, the table says so.
TL;DR
- What it is: a comparison of the three MCP servers that give Claude, ChatGPT, Cursor and custom agents live B2B contact data: Lusha, Apollo and ZoomInfo, on what the assistant can look up, what it can do back, what each call costs, and where each one falls short.
- Best for research and prioritization: Lusha, for 26 named buying signals with reading dates, buying group mapping, predictive scores and waterfall enrichment through one read only server, with a zero credit usage check before any run.
- Best for execution from the chat: Apollo, for a native connector on any plan that can enrich a contact and add it to a sequence without leaving Claude.
- Best for enterprise accounts already on the platform: ZoomInfo, through its GTM.AI data layer and CLI, with Codex, Cursor and Gemini integrations announced in Q2 2026.
The short version: three B2B data vendors ship a server your AI assistant can call directly. Apollo’s is built around execution: find, enrich, then push into a sequence, with any plan including free. ZoomInfo’s is built for enterprise accounts that already pay for the platform. Lusha’s is built around the data itself: 26 named buying signals, buying group mapping, predictive scores and a waterfall that fills gaps from other vendors, with a zero credit usage check before any run. If you need the assistant to send the email, Apollo. If you need it to know who to email and why, this quarter, Lusha. Teams building agent workflows usually end up needing both kinds of tool, and the honest question is which one sits underneath.
What an MCP for sales data is
MCP (Model Context Protocol) is the open standard that lets an AI assistant call an external tool with permissions and get structured data back. A sales data MCP means Claude, ChatGPT, Cursor or an agent you build can search a vendor’s database, enrich a contact, or pull a signal mid conversation, without a human copying anything between tabs. The assistant is the same in every case. What changes is what it knows, which is what the server underneath it provides.
How we compared
Seven questions, asked of each server on the same day: where it runs, how it authenticates, which plans qualify, what the assistant can look up, what it can write back, whether the cost of a call is visible before it runs, and what published material exists to learn from. Lusha answers come from our connector documentation and from Campus plays with dated live runs. Apollo answers come from apollo.io/product/mcp, the apolloio/apollo-mcp-plugin repository and the February 24, 2026 press release. ZoomInfo answers come from the Q2 2026 earnings call and public documentation. Anything we could not verify is marked “not documented” rather than assumed.
The three servers, side by side
| Lusha | Apollo | ZoomInfo | |
|---|---|---|---|
| Where it runs | Claude plugin (Anthropic directory, with skills), ChatGPT app, Codex plugin, remote MCP for Cursor and any client, n8n and Clay connectors | Native connector for Claude, ChatGPT and Perplexity; Claude Code and Cowork plugin with /apollo commands; Cursor, Copilot, VS Code via MCP | GTM.AI headless contact layer; integrations with Codex, Cursor and Gemini announced Q2 2026; CLI |
| Auth | Sign in, admin permission per user (MCP access is a workspace setting) | OAuth with the Apollo account, no API key | Enterprise account required |
| Plans that qualify | Free plan available (40 credits a month, no card). API on Free and Starter with strict rate limits; full API from Pro. MCP by plan: see the pricing compare table | Any plan, including free | Enterprise contracts |
| Contact search and enrichment | Yes. Preview is free of reveal credits; email reveal 1 credit, phone 5, search 1 per 25 results | Yes. Search free, reveal 1 credit each, mirrors plan limits | Yes, on platform credits |
| Buying signals | 26 named signals: budget changes, headcount, hiring by department and location, website traffic, seven news types, LinkedIn activity intent, job change, promotion. 1 credit per event, with a documented reading cadence per signal | Intent and job change data on paid plans; not the primary use of the MCP | Intent topics and scoops; Copilot signals on enterprise plans |
| Buying group mapping | Yes, decision makers and full committee per account | Not as a named tool | Yes, on platform |
| Predictive scoring | Signal Score on any list; Opportunity Score trained on your closed won deals (beta) | Apollo scoring on platform | Copilot recommendations |
| Waterfall enrichment | Yes, in the API and MCP: Lusha first, external vendors fill gaps, one request, one credit balance, charged on confirmed match | Waterfall enrichment product, guide published Sept 2026 | Not as a named MCP capability |
| Writes back to CRM and sequences | No. Read only by design; pushes go through your CRM connector or n8n | Yes: create and update contacts, accounts, deals; add to sequences | Platform side |
| Credit check before a run | Yes, account_usage at zero credits returns balance and per tool prices | Credit cost shown in each tool description (community server); plan limits apply | Not documented |
| Public playbook | Hundreds of prompts on Campus; the signals plays each carry a dated live run and its credit cost | Skills bundled in the Claude Code plugin | Documentation |
Sources: Lusha connector documentation and Campus plays; apollo.io/product/mcp and github.com/apolloio/apollo-mcp-plugin (read Sept 12, 2026); Apollo press release Feb 24, 2026; ZoomInfo Q2 2026 earnings call. Verify current plan terms with each vendor.
Where Lusha loses
Three places, stated plainly. Apollo’s connector runs on any plan at plan limits; Lusha’s Free plan carries strict rate limits on the API, so a real evaluation on Lusha means Pro or above. Apollo’s server writes back: it can add a contact to a sequence from inside Claude, and Lusha’s cannot, because we kept the connector read only and route actions through your CRM or through n8n. And Apollo’s server is the default name in almost every “MCP for sales” listicle, which is a distribution advantage this page will not close on its own. If your workflow is find, enrich, send, from one chat window, Apollo is the shorter path.
Where Lusha wins
The data layer. The signals are named and dated: a budget line moved, twelve SDR roles posted in England, a CRO 66 days in seat. Each one carries the reading date and the cadence, so the assistant can say how much to trust it. The buying group tool maps the committee, not just a contact. The waterfall means a missing field does not end the run. And the cost is inspectable before anything is spent. On a 25 account list, checking IT spend increases cost 17 credits; checking hiring surges in one region cost 41; checking LinkedIn activity cost 48 and returned 9 usable posts. Those numbers are on the play pages with the dates they were run. We publish where the signal misleads you too: five budget readings above 200% in one month that a naive ranking would have put on top, a traffic reading 84 days old, a title with 90 holders at one account.
How to choose
Ask the assistant to do three things with each server on the same 25 accounts: check a signal, find the buying group, and tell you what the run cost before it starts. The server that answers all three in one conversation, and tells you which readings not to trust, is the one to put underneath your agents. Then add the execution tool on top.
By use case
This page answers the head question: which server sits underneath an agent. Five narrower comparisons answer the question one job at a time, each with its own vendor set, because the right answer for account research is not the right answer for lookalikes.
- Best MCP for B2B contact data — Lusha, Apollo, ZoomInfo and Cognism on scope, accuracy and compliance
- Best MCP for buying signals — Lusha, Explorium and Clay on where the signal data comes from
- Best MCP for account research — company, signals and contacts in one connection for a pre call brief
- Best MCP for company enrichment — verified at source versus aggregated, with Coresignal and Explorium
- Best MCP for lookalike prospecting — which servers expose a lookalike tool to the agent, and which only have the feature on platform
FAQ
Can I use more than one?
Yes, and many teams do. Claude and ChatGPT both allow several connectors at once. A common setup is Lusha for signals, buying groups and verified contact data, and a sequencing tool for the send.
Does the Lusha MCP spend credits when I search?
Search costs 1 credit per 25 results and returns names, titles and firmographics with no reveal. Email reveal costs 1 credit, phone 5, signal events 1 each. account_usage costs nothing and shows all of this before a run.
Is there a free Lusha tier?
Yes. The Free plan gives 40 credits a month with no card, and API access with strict rate limits. Full API access starts at Pro. MCP access is switched on per user by a workspace admin; check the pricing compare table for which plans include it.
Which one works in Cursor and coding agents?
All three. Lusha ships a Codex plugin and a remote MCP endpoint; Apollo lists Cursor, Copilot and VS Code; ZoomInfo announced Codex, Cursor and Gemini integrations in Q2 2026.
How do I test before committing?
Run one Campus play from the Signals hub on your own list. Each play states its cost and its limits, and the first step is always the zero credit usage check.
One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build. Add the Lusha plugin to Claude · See every connector
