LeadMCP MCP server

LeadMCP is an official MCP server providing a B2B contact database with 375M+ contacts. It allows AI agents to search for specific job titles and companies, count matching leads for free, enrich contacts with verified emails and phone numbers, and export data as CSV files. The service includes unlimited searches and flat-rate pricing with no extra cost for phone numbers.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-19Operated by LeadMCP

MCP endpoint (Streamable HTTP)

https://mcp.leadmcp.ai

Vendor documentation

What you can do with it

Find sales VPs and directors in the US
Export contacts with emails and mobile numbers
Count matching leads before spending credits
Enrich LinkedIn URLs with contact data

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http leadmcp https://mcp.leadmcp.ai

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add leadmcp --url https://mcp.leadmcp.ai

Cursor

Merge this server into .cursor/mcp.json in your project, then enable leadmcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "leadmcp": {
      "url": "https://mcp.leadmcp.ai"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "leadmcp": {
      "type": "streamableHttp",
      "url": "https://mcp.leadmcp.ai",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start leadmcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "leadmcp": {
      "type": "http",
      "url": "https://mcp.leadmcp.ai"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http leadmcp https://mcp.leadmcp.ai

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "leadmcp": {
      "url": "https://mcp.leadmcp.ai"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "leadmcp": {
      "serverUrl": "https://mcp.leadmcp.ai"
    }
  }
}

Ground your agent in cited data

LeadMCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.

Connect Koskamo Browse datasets

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Do you run LeadMCP?

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