Alpha OSINT Prospector

B2B prospecting inside Claude. Describe your ideal customer once, and get back a ranked list of companies that are hiring for the roles you sell into, with funding data, a 0-100 score you can audit, named decision-makers and verified work emails.

It is a Claude Code plugin: an MCP server with 14 tools, a local SQLite lead store, and 6 skills. It researches. It never sends anything.

Built by Alpha OSINT on our own Apify Actors.

Why another prospecting tool

Most Claude prospecting tools read LinkedIn, one URL at a time, and ask the model to say "High / Medium / Low". That leaves gaps this project fills:

Related MCP server: Job Lead Converter MCP

The pipeline

ICP  ->  source (job postings)  ->  enrich (firmographics + funding)  ->  emails + decision-makers  ->  score  ->  leads.csv

Related Actors you can chain by hand: LinkedIn Profile API, LinkedIn Posts API, PitchBook Company API, Google Maps Place ID Contact API.

Install

You need uv, an Apify account (a paid plan is recommended, see Cost) and Claude Code. New to Claude Code? Try it with this referral link.

In Claude Code:

/plugin marketplace add johnisanerd/alphaosint-prospector

/plugin install alphaosint-prospector@alphaosint

Then add your Apify token and restart Claude Code:

mkdir -p ~/.alphaosint && echo "APIFY_TOKEN=your_token_here" >> ~/.alphaosint/.env

MCP server only (Claude Desktop, Cursor, anything that speaks MCP):

{
  "mcpServers": {
    "alphaosint-prospector": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/johnisanerd/alphaosint-prospector", "alpha-prospector", "serve"]
    }
  }
}

Use it

Say what you want:

• "Set up my ICP. We sell sales engagement software to US SaaS companies with 50 to 1000 people."

• "Find me 25 leads."

• "Why did the third one score low?"

• "Get me the VP of Sales and an email for the top five."

• "Export the list."

Or run the whole thing without Claude:

uvx --from git+https://github.com/johnisanerd/alphaosint-prospector alpha-prospector run --icp examples/icp.example.json --max-companies 10 --budget 2

Skills

MCP tools

get_config, get_icp, set_icp, estimate_cost, source_companies, enrich_companies, find_contacts, find_emails, score_leads, list_leads, get_lead, export_leads, list_runs, get_spend.

The ICP

One JSON object drives sourcing, filtering and scoring. See examples/icp.example.json.

The score

Unknown data scores zero and the reason says "unknown". An account nobody has enriched cannot outrank one that was checked.

Cost

You pay Apify for the Actor runs, per result. The server estimates each call at list price before it runs, refuses calls over your caps, and starts every run with a platform-side maximum charge.

Defaults: $2.00 per session, $1.00 per call. Change them in ~/.alphaosint/.env (see .env.example).

Two things to know:

• The email Actor refuses runs whose charge cap is under $0.50, so that stage needs $0.50 of session budget left even when the real cost is a few cents.

• On Apify's free plan that Actor prices its lead and verification add-ons at $0.10 each instead of about half a cent. Use a paid plan, or set leads_per_domain=0.

Limits

• Crunchbase shows round structure and investors publicly, not dates or amounts. Round dates come from the LinkedIn funding summary when LinkedIn has one.

• Job boards match titles loosely. Postings whose title does not contain every word of one of your hiring keywords are ignored and counted, so add each real variant as its own keyword.

• LinkedIn job rows carry no website, so those accounts need enrichment before emails can be found.

• People search depends on public search indexing of LinkedIn profiles. Small companies often return nobody. The email step usually finds named people where search does not.

• A catch_all or unknown email verdict means unverified. The export says so.

Privacy and terms

Data is stored locally in ~/.alphaosint/prospector.db. Named contacts and work emails are personal data under GDPR and similar laws; you need a lawful reason to hold and use them. The Actors read public pages. You are responsible for complying with the terms of the sites involved and with anti-spam law where you operate. This project sends no messages.

Development

git clone https://github.com/johnisanerd/alphaosint-prospector && cd alphaosint-prospector

uv venv && uv pip install -e ".[dev,xlsx]" && uv run pytest -q

Tests use a fake Apify backend and spend nothing.

Credits

Inspired by insaight by Spiros Baxevanakis, which showed how well an MCP server plus skills works for prospect research. Prospector is an independent implementation with a different scope: account sourcing, multi-source enrichment and scoring.

Disclosure: apify.com links carry the author's affiliate code, and the johnvc/* Actors are built by the author.

MIT License.