New! Claude now connects directly to Lusha’s verified B2B data
New! Claude now connects directly to Lusha’s verified B2B data

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Glama

Install the official Lusha MCP server from Glama and bring verified B2B data into any MCP client

MCP Built by Lusha

What is Glama?

Glama is an MCP server registry, inspector, and gateway. It indexes tens of thousands of MCP servers and hosted connectors, scans and scores each one for quality, security, and maintenance, and lets developers test servers in the browser before they install them. Developers and AI teams use Glama to find the right MCP server for their agents and get it running fast.

Lusha and Glama

The official Lusha MCP server is listed on Glama. It connects any MCP-compatible client, such as Claude Desktop or a custom AI agent, to the Lusha API, so your AI tools can search, enrich, and look up B2B contacts and companies with verified data.

Glama shows you what the server does before you install it: the full tool set, the configuration options, and a quality score. Lusha supplies the data: verified emails and direct dials, firmographics, and company details. Your agent goes from a name, domain, or LinkedIn URL to a complete, reachable record in a single tool call, with bulk lookups of up to 100 contacts per request.

How to connect Lusha and Glama

Find the Lusha MCP server on Glama, then add it to your MCP client's configuration using the @lusha-org/mcp npm package and your Lusha API key. Restart the client, and the Lusha tools for contact and company search, enrichment, and bulk lookup appear in your agent. Lusha results use your Lusha credits. For setup details, see the Lusha MCP integration docs.

Common use cases

01

Enrich lead lists in bulk

Send up to 100 contacts at once by email, LinkedIn URL, or name and company, and get verified contact data back in a single request. Example: Your agent takes a list of 100 webinar sign-ups and returns verified emails, direct dials, and job titles for each one.

02

Build prospect lists from your ICP

Use Lusha contact and company search with filters to find the accounts and decision-makers that match your ideal customer profile. Example: Ask your agent for Heads of RevOps at US SaaS companies with 200 to 1,000 employees and get a list your team can work right away.

03

Add company intelligence to agent workflows

Look up companies by name or domain and pull firmographics like size, industry, revenue, and location into any step of an agent workflow. Example: Before scoring a new inbound account, your agent enriches the domain with company size, industry, and revenue from Lusha.

04

Evaluate the server before you build

Review the Lusha MCP server's tools, schema, and quality score on Glama before you wire it into production agents. Example: A developer checks the available tools on Glama, installs the server locally, and runs a first contact lookup in minutes.

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