72bpm-leadgen-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@72bpm-leadgen-mcp-serverdiscover SaaS companies in Berlin"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
72BPM Lead-Gen MCP Server
An MCP server that turns discovery → enrichment → scoring → outreach into callable tools, scoped to 72BPM's four practice areas:
SaaS Product Development
E-mobility (EV) Applications & Infrastructure
IoT Platforms
AI Agent Creation
Why no LinkedIn API/scraper?
LinkedIn's Terms of Service prohibit automated scraping, and LinkedIn actively detects and blocks it — both technically (rate limits, IP bans) and legally. Rather than build something that breaks on day one and creates legal exposure, this server:
Crawls companies' own public websites directly (careers pages, blog posts, about pages) — fully fair game, standard practice.
Uses a real search engine (Brave Search API) to read back publicly indexed snippets — including of LinkedIn company/people pages — the same way a human researcher googling
site:linkedin.com/company acmewould. This is a search-engine query, not a scrape of linkedin.com itself.Reads public job postings the same way.
If your team later gets access to LinkedIn's official Talent/Sales
Navigator API (via their Partner Program) or a compliant data provider,
swap src/services/searchProvider.ts — every tool depends only on that
one file's webSearch() function.
Related MCP server: Commonality MCP Server
Tools
Tool | Purpose |
| Search-based candidate discovery for one category + region |
| Crawl a company's site + indexed LinkedIn/job signal, matched against all 4 categories |
| Weighted 0-100 fit score + tier (hot/warm/cold) + confidence for one category |
| Search-based candidate engineering contact (CTO/VP Eng/etc.) — unverified, always double-check before outreach |
| Drafts 2 outreach email variants using the value-lead framework |
| Simple pipeline tracking (JSON file by default) |
Typical workflow: discover → enrich → score → find_contact →
generate_pitch → save_lead, then update_lead as deals progress.
Setup
npm install
cp .env.example .env
# edit .env and set BRAVE_API_KEY (free tier: https://brave.com/search/api/)
npm run buildRun locally (stdio) — for Claude Desktop / Claude Code
npm startAdd to your Claude Desktop / Claude Code MCP config:
{
"mcpServers": {
"72bpm-leadgen": {
"command": "node",
"args": ["/absolute/path/to/72bpm-leadgen-mcp-server/dist/index.js"],
"env": {
"BRAVE_API_KEY": "your-key-here"
}
}
}
}Run as a hosted server (streamable HTTP) — for team-wide access
TRANSPORT=http PORT=3000 npm start
# or: npm run start:httpExposes POST /mcp (the MCP endpoint) and GET /health. Point your
team's MCP clients at https://your-host/mcp. Deploy behind your normal
reverse proxy/TLS termination — this server does not handle auth itself,
so put it behind your existing auth layer if exposing it beyond your VPN.
Customizing the ICP signals
src/constants.ts holds the weighted signal dictionary per category
(ICP_SIGNALS). These are the phrases the scoring engine looks for and how
many points each is worth. Tune them as you learn what actually converts —
e.g. if "battery swapping" mentions never turn into real deals, drop its
weight; if a new signal phrase keeps showing up in your best deals, add it.
Tier thresholds (tierFromScore) and confidence thresholds
(confidenceFromSourceCount) live in the same file.
Customizing outreach voice
src/tools/pitch.ts has one AUTHORITY_LINES entry per category — the
"parallel domain authority" sentence 72BPM's pitches lean on. Edit these to
match your team's actual case studies as they accumulate; specific,
verifiable claims outperform generic ones.
Known limitations (by design, not oversights)
No paid enrichment APIs (Apollo/Clearbit/Crunchbase/BuiltWith) — you said you don't have those yet. The signal quality here is real but bounded by what's publicly crawlable. If you add API keys later, this is the natural next upgrade — add a new
services/client and feed its text intomatchSignals()alongside the site crawl.Contact finding is unverified —
leadgen_find_contactparses search snippet text, which is sometimes ambiguous. It's a research shortcut, not a verified contact database. Always confirm before sending outreach.Pipeline storage is a JSON file — fine for one person or a small team running the stdio server locally. For the hosted HTTP deployment with multiple concurrent users, swap
src/services/storage.tsfor a real database (Postgres/SQLite) — every other tool only depends on the four functions that file exports.Brave Search rate limits apply — the free tier is fine for exploration but will need a paid tier for high-volume prospecting.
Project structure
src/
├── index.ts # Entry point, dual transport (stdio/HTTP)
├── constants.ts # ICP signal weights, category labels, thresholds
├── types.ts # Shared TypeScript types
├── services/
│ ├── searchProvider.ts # Brave Search API wrapper (swap for another provider here)
│ ├── webCrawler.ts # Company-site crawler (robots.txt-aware)
│ ├── companyIntel.ts # Combines crawl + search into cached text bundles
│ ├── scoring.ts # Weighted signal matching + scoring
│ └── storage.ts # JSON-file lead pipeline (swap for a DB for hosted use)
└── tools/
├── discover.ts
├── enrich.ts
├── score.ts
├── contact.ts
├── pitch.ts
└── pipeline.tsMaintenance
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