lead-generation

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Finds and qualifies B2B leads from X/Twitter conversations using keyword search, profile analysis, and intent scoring. Combines MCP tools for automated prospecting pipelines. Use when prospecting, finding potential customers, or mining social conversations for leads.

nirholas By nirholas schedule Updated 2/25/2026

name: lead-generation description: Finds and qualifies B2B leads from X/Twitter conversations using keyword search, profile analysis, and intent scoring. Combines MCP tools for automated prospecting pipelines. Use when prospecting, finding potential customers, or mining social conversations for leads. license: MIT metadata: author: nichxbt version: "4.0"

Lead Generation

MCP-powered workflow for finding and qualifying B2B leads from X/Twitter conversations and profiles.

MCP Tools Used

Tool Purpose
x_search_tweets Find conversations by keyword/intent
x_get_profile Qualify leads with profile data
x_get_tweets Assess activity level and interests
x_get_followers Check audience size and quality
x_get_following Identify competitor usage / peer network

Workflow

  1. Define search queries -- Build 3-5 keyword queries combining pain points, competitor names, or buying signals (e.g., "looking for {tool}", "anyone recommend {category}", "switching from {competitor}").
  2. Search conversations -- Call x_search_tweets for each query with limit: 30. Collect unique usernames.
  3. Qualify profiles -- Call x_get_profile for each. Filter by: has bio, followers > 100, account age > 6 months.
  4. Score intent -- Assign 1-5 score:
    • 5: Explicit buying intent ("need a tool for...", "budget approved")
    • 4: Comparing solutions ("X vs Y", "switching from")
    • 3: Pain point discussion ("struggling with...")
    • 2: Topic interest (engages with industry content)
    • 1: Tangential mention
  5. Gather context -- For top leads (4-5), call x_get_tweets with limit: 20.
  6. Check network -- Call x_get_following for high-value leads to see competitor follows.
  7. Export lead list -- Format as structured output.

Browser Script Integration

Enhance MCP workflows with browser scripts:

Goal Script
Monitor keywords in real-time src/keywordMonitor.js
Analyze potential lead's audience src/audienceDemographics.js
Check overlap with your audience src/audienceOverlap.js
Engage with leads' content src/engagementBooster.js
Auto-follow qualified leads src/automation/keywordFollow.js

Output Template

## Lead List: {search_topic}
Generated: {date} | Total qualified: {count}

| Username | Score | Followers | Signal | Tweet URL |
|----------|-------|-----------|--------|-----------|
| @{user}  | {1-5} | {count}   | {type} | {url}     |

### High-Priority Leads (Score 4-5)

**@{username}** -- Score: {n}/5
- Signal: "{tweet excerpt}"
- Bio: {bio}
- Suggested approach: {personalized outreach note}

Tips

  • Run searches at different times to catch varied audiences
  • Refresh weekly -- buying signals are time-sensitive
  • Cross-reference with x_get_followers to find warm intros
  • Use src/keywordMonitor.js for ongoing keyword monitoring
Install via CLI
npx skills add https://github.com/nirholas/XActions --skill lead-generation
Repository Details
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