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findleadsbot-mcp

v1.0.0

Published

MCP server for FindLeadsBot — Reddit lead discovery, AI intent scoring, and reply drafting for Claude Code

Readme

FindLeadsBot MCP Server

MCP server that connects Claude (or any MCP host) to the FindLeadsBot API for Reddit lead discovery, AI intent scoring, and reply drafting.

Quick Start

npx findleadsbot-mcp

Get your API key at findleadsbot.com/settings/api.

Configuration

Claude Code

Add to .mcp.json in your project root (or ~/.claude/.mcp.json for global access):

{
  "mcpServers": {
    "findleadsbot": {
      "command": "npx",
      "args": ["-y", "findleadsbot-mcp@latest"],
      "env": {
        "FINDLEADSBOT_API_KEY": "flb_your_key_here"
      }
    }
  }
}

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "findleadsbot": {
      "command": "npx",
      "args": ["-y", "findleadsbot-mcp@latest"],
      "env": {
        "FINDLEADSBOT_API_KEY": "flb_your_key_here"
      }
    }
  }
}

Environment Variables

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | FINDLEADSBOT_API_KEY | Yes* | — | Your API key (starts with flb_) | | FINDLEADSBOT_BASE_URL | No | https://findleadsbot.com | API base URL |

*Only required for find_leads, analyze_post, and draft_reply. The score_post tool works without a key.

Tools

find_leads

Discover Reddit leads with AI-powered intent scoring. Costs 1 credit.

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | keywords | string[] | Yes | Search keywords (1-5) | | subreddits | string[] | No | Limit to these subreddits | | intent | "all" \| "buying" \| "pain_point" \| "other" | No | Filter by intent type | | time_filter | "hour" \| "day" \| "week" \| "month" \| "year" \| "all" | No | Time range | | limit | number | No | Max leads (default 50, max 100) | | include_analysis | boolean | No | Include AI intent analysis (default true) |

Returns: Array of leads with intent classification, pain points, and metadata.

analyze_post

Analyze a single Reddit post URL for buying intent, pain points, and urgency. Costs 1 credit.

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | url | string | Yes | Reddit post URL |

Returns: Analysis with intent type, confidence, pain points, buying signals, and urgency level.

score_post

Score a post for lead quality using rule-based signals. Free (no API call, instant).

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | title | string | Yes | Post title | | body | string | No | Post body/selftext | | created_utc | number | No | Unix timestamp of creation | | num_comments | number | No | Comment count | | score | number | No | Reddit score (upvotes - downvotes) | | has_buying_intent | boolean | No | AI-detected buying intent | | has_pain_point | boolean | No | AI-detected pain point |

Returns:

{
  "total": 78,
  "intentScore": 32,
  "recencyScore": 25,
  "engagementScore": 6,
  "competitorScore": 15,
  "signals": ["looking for", "tired of", "mentions: gummysearch"],
  "tier": "hot",
  "isHighIntent": true
}

Scoring breakdown:

  • Intent (0-40): Matches against 25 high-intent and 16 medium-intent signal phrases
  • Recency (0-25): Based on post age (6h=25, 24h=20, 48h=15, 1w=10, 1mo=5)
  • Engagement (0-20): 1 point per 3 comments (max 12) + 1 per 25 upvotes (max 8)
  • Competitor (0-15): Bonus for mentions of known competitors

Tiers: hot (60+ total or 30+ intent with 15+ recency), warm (35+ total or 20+ intent), cold (below thresholds)

draft_reply

Generate a helpful, human-sounding Reddit reply. Costs 1 credit.

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | post_title | string | Yes | Title of the post | | post_body | string | No | Body/selftext | | subreddit | string | Yes | Target subreddit | | product_name | string | Yes | Your product name | | product_description | string | Yes | What your product does | | problems_solved | string[] | Yes | Problems your product solves |

Returns: AI-generated reply text that addresses the post naturally.

How It Works

Claude Code / Claude Desktop / Any MCP Host
    | (MCP protocol over stdio)
findleadsbot-mcp
    | (HTTPS + Bearer auth)
FindLeadsBot API

Exception: score_post runs locally — pure function, no network call, no credits used.

License

MIT