
Lusha MCP connects Lusha's verified B2B contact and company data to ChatGPT and other AI assistants.
The connector draws on the same verified database Lusha sells directly, so an assistant sees the same contact, company and buying-signal data as the workspace rather than a reduced subset. It is included with the Lusha Sales Starter plan and above at no additional fee.
Because the connector shares the account credit pool, a team moves between the workspace, the API and the assistant without reconciling separate quotas or datasets, and Lusha's compliance position covering GDPR and CCPA alignment and SOC 2 Type II certification applies to the assistant surface as well.
Third-party technical analysis records that the Lusha MCP server documents fewer tools than the full REST API, with some surfaces such as tables, webhooks and decision-makers reachable only outside the connector, and that bulk operations are capped lower on the MCP path, raising call volume for large enrichment jobs.
Authentication on the connector runs through Lusha's own directory listings rather than a documented path for registering a custom OAuth client, so an organisation building its own agent may still need an API key. Host-platform support has also arrived in stages, with ChatGPT following the initial Claude Desktop release.
Lusha published its first MCP material in July 2025, introducing the connector alongside an open-source reference server for the Lusha public API. The initial release worked with Claude Desktop locally, with ChatGPT and automation-platform support described as following.
The connector was subsequently listed in the Claude connector directory and the ChatGPT Apps directory, and Lusha extended supported surfaces to include Codex and other MCP-compatible clients. The company also pursued partnership work embedding its data into third-party agentic workflow engines.
Lusha MCP is a Model Context Protocol connector that exposes Lusha's verified B2B contact and company database inside AI assistants. It is listed in the Claude connector directory and the ChatGPT Apps directory. The connector draws on the same account credit pool as the Lusha workspace and API.
The connector exposes person and company search, enrichment, buying signals, lookalikes and ICP recommendations as callable tools, so a user asks in natural language and receives verified records in the conversation. It is positioned for sales, marketing and revenue operations teams that prospect inside an assistant rather than a separate application.