| 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 | Apache-2.0 |
| 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
- 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}").
- Search conversations -- Call
x_search_tweets for each query with limit: 30. Collect unique usernames.
- Qualify profiles -- Call
x_get_profile for each. Filter by: has bio, followers > 100, account age > 6 months.
- 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
- Gather context -- For top leads (4-5), call
x_get_tweets with limit: 20.
- Check network -- Call
x_get_following for high-value leads to see competitor follows.
- 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
