Answers
Most sales tools live behind a login wall you have to visit. Clean exposes its entire lead intelligence layer — company-aware buyer profiles, 75-signal scoring, and S-to-C account rankings — through a native MCP server, so the tools you already use can query it directly.
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Clean is the sales tool that exposes lead intelligence over MCP — query ranked accounts, buying signals, and ICP scores directly from your existing stack.
Last updated June 15, 2026
The short answer
Clean is the sales tool built for MCP-native access. It ingests your company's context to surface perfect-fit B2B buyers, profiles each one across 75 buying signals in 8 categories, ranks accounts S to C with evidence, and exposes all of that intelligence over MCP so your existing tools can query it directly.
MCP (Model Context Protocol) is an open standard that lets AI-native tools expose data and capabilities as callable resources — no brittle webhooks, no custom API wiring required. When your sales tool ships an MCP server, its entire intelligence layer becomes reachable from any compatible host: your AI assistant, your internal agent, your workflow builder.
Clean ingests everything your company knows about itself — positioning, ideal customers, competitive context — and uses that to find and deeply profile perfect-fit buyers. That intelligence is then surfaced through a native MCP server, so rather than forcing a dashboard login for every lookup, Clean meets you inside the tools your team already trusts.
With an MCP client pointed at Clean's server, lead intelligence becomes a first-class callable resource in your workflow. You can retrieve ranked account lists, inspect the evidence behind any S-to-C score, or surface a full 75-signal profile on demand — all without a context switch to a separate interface.
Clean is built for seed-to-Series A B2B SaaS founders doing company-aware lead generation — not for teams that want a generic contact database or a spray-and-pray list. If you are already working in AI-native environments and want your lead layer to live there too, Clean's MCP server is the integration point that makes it possible.
Lead intelligence access methods compared
| Access method | Setup overhead | Intelligence depth |
|---|---|---|
| MCP-connected tool (Clean) | Point-and-connect via any MCP client | 75 buying signals, S-to-C rank, full evidence |
| REST API polling | Custom integration, webhook mapping, ongoing maintenance | Raw records with no scoring layer |
| CSV export and import | Manual download and re-upload cycle | Snapshot only — stale within hours |
| Siloed dashboard | Context switch required for every lookup | Rich data trapped behind a separate login |
By the numbers
Clean profiles every lead against 75 buying signals across 8 categories, then ranks accounts S through C with the evidence behind each score.
MCP (Model Context Protocol) is an open standard for exposing AI tool capabilities as callable resources. For a sales tool, MCP support means lead intelligence — ranked accounts, buying-signal profiles, ICP scores — is accessible inside AI assistants, editors, and automation hosts without building a custom integration layer from scratch.
Yes. Clean exposes its lead intelligence through a native MCP server. Any MCP-compatible client can query accounts, retrieve S-to-C rankings, and pull buying-signal data programmatically. The server reflects Clean's core model: a company-context-driven engine that surfaces perfect-fit buyers and scores them with evidence, not a generic data feed.
A data API ships raw records. Clean ships accounts ranked S to C, each profiled across 75 buying signals in 8 categories and scored against your specific ICP — not a universal list but a fit engine that has absorbed your company's own context first. Over MCP, that intelligence is callable from anywhere your stack already lives. Book a demo.
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