@Bingeljell/Lead Gen

MCP server for AI-assisted B2B lead generation. Discover, extract, score, and export company leads — from any MCP-compatible agent (Claude Desktop, Cursor, Windsurf, Codex, etc.).

Context

• This started as a lead pipeline inside Alfred — a personal AI agent built for outbound sales work
• Extracted into a standalone MCP server so anyone selling to small and mid-sized businesses can use it with their agent of choice
• Works across agents — not Claude-specific
• Still under active development. See docs/release_notes.md for what's in each release

Tools

Tool	What it does
lead_discover	Search for companies matching a query and rank them by ICP fit. No browser required.
lead_extract	Deep-extract a single company's name, emails, industry, and size from a URL via headless browser.
lead_generate	Full pipeline: search → rank → extract → filter → save to CSV.

Requirements

• Node.js ≥ 20
• A search provider — SearXNG (self-hosted), Brave API key, or nothing (falls back to DuckDuckGo automatically)
• An LLM key (Anthropic or OpenAI) — optional but improves extraction quality

Setup

Option A — Use via npx (no clone needed)

The server runs on demand. Just configure your agent to call it with npx:

"command": "npx",
"args": ["-y", "@bingeljell/lead-gen-mcp"]

Option B — Clone and build locally

git clone https://github.com/bingeljell/lead-gen-mcp
cd lead-gen-mcp
npm install
npx playwright install chromium   # one-time ~130MB browser download
npm run build

Point your agent at the built file:

"command": "node",
"args": ["/absolute/path/to/lead-gen-mcp/dist/server.js"]

---

Agent configuration

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "lead-gen": {
      "command": "npx",
      "args": ["-y", "@bingeljell/lead-gen-mcp"],
      "env": {
        "SEARXNG_BASE_URL": "http://localhost:8888",
        "ANTHROPIC_API_KEY": "sk-ant-...",
        "LEAD_GEN_OUTPUT_DIR": "/Users/you/leads"
      }
    }
  }
}

Restart Claude Desktop. The three tools appear automatically.

Cursor / Windsurf

Same config format — add to your MCP settings JSON and restart the editor.

OpenAI Agents SDK (Codex)

from agents import Agent
from agents.mcp import MCPServerStdio

lead_gen = MCPServerStdio(
    command="npx",
    args=["-y", "@bingeljell/lead-gen-mcp"],
    env={
        "SEARXNG_BASE_URL": "http://localhost:8888",
        "ANTHROPIC_API_KEY": "sk-ant-...",
        "LEAD_GEN_OUTPUT_DIR": "./leads"
    }
)

agent = Agent(name="LeadResearcher", mcp_servers=[lead_gen])

Claude Code (CLI)

claude mcp add lead-gen \
  -e SEARXNG_BASE_URL=http://localhost:8888 \
  -e ANTHROPIC_API_KEY=sk-ant-... \
  -e LEAD_GEN_OUTPUT_DIR=/Users/you/leads \
  npx -y @bingeljell/lead-gen-mcp

---

Environment variables

# Search — set at least one (falls back to DuckDuckGo if none set)
SEARXNG_BASE_URL=http://localhost:8888   # self-hosted SearXNG
BRAVE_SEARCH_API_KEY=                    # https://api.search.brave.com

# LLM — optional, improves extraction accuracy
ANTHROPIC_API_KEY=
OPENAI_API_KEY=

# Output directory for CSVs
LEAD_GEN_OUTPUT_DIR=./leads

Copy .env.example for a template.

---

ICP profiles

The profile parameter tunes candidate ranking for different buyer types:

Profile	Target
generic	Any business
msp	Managed service providers (IT/cybersecurity)
si	Systems integrators / Microsoft partners
event_planner	Event planning / wedding businesses

Example prompts

"Find 10 MSPs in Austin, Texas and save their contact emails."

"Search for small systems integrators in the UK, vertical msp_uk, max 5 leads."

"Discover event planning companies in Chicago — profile: event_planner."

License

MIT