DiscoLike MCP Server

DiscoLike

DiscoLike is a B2B target account discovery platform that uses website-level matching across 65M+ business domains. This bundle enables finding ideal customer profiles and high-fit prospects that traditional sales intelligence misses.

Capabilities

Account discovery:

• Search for businesses matching specific criteria (industry, size, technology, behavior)
• Find lookalike companies based on existing customers or target profiles
• Discover prospects across 65M+ business domains

Profile matching:

• Define ideal customer profiles (ICP) with weighted criteria
• Score companies against your ICP for fit ranking
• Filter by firmographic, technographic, and behavioral signals

Data enrichment:

• Get company details (domain, industry, employee count, technology stack)
• View website-level signals and digital footprint data

Workflows

Define your ICP: Specify the attributes of your ideal customer (industry, company size, technologies used). DiscoLike builds a matching model from these criteria.

Discover new accounts: Run a search against the business domain database. Results are ranked by fit score. Review top matches and their company profiles.

Find lookalikes: Provide a list of existing customers or target accounts. DiscoLike identifies similar companies based on website-level signals and firmographic data.

Gotchas

• Website-level matching: DiscoLike matches at the domain level, not individual contacts. It finds companies, not people.
• Data freshness: Business domain data is periodically updated. Very new companies or recent changes may not be reflected.
• Fit scores are relative: Scores rank prospects relative to your ICP definition. Adjusting ICP criteria changes all scores.