B2B Buyer-Signal MCP — Intent Layer for AI Sales Agents
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B2B Buyer-Signal MCP — Intent Layer for AI Sales Agents
Under maintenanceMCP for AI sales agents: structured B2B buyer-intent signals (hiring posts, funding events, tech-stack changes, leadership shifts, expansion). 6 tools. Composite intent score 0-100. Disclaimer: interpretation framework; verify with primary sources.
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Pay per usage
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Elisabeth
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B2B Buyer-Signal MCP
Intent layer for AI sales agents — structured signal interpretation, not data scraping.
By Elisabeth Hitz — 10+ years B2B enterprise sales experience.
Disclaimer. Outputs are structured reasoning frameworks for agent decisioning. Not financial advice. Not a guarantee of buyer behavior.
What This Solves
Your AI SDR can scrape signal sources (job postings, funding events, exec moves). It cannot interpret what those signals MEAN for sales prioritization, outreach angle, or deal probability.
This MCP gives the AI agent structured reasoning over buyer intent.
Tools (6)
interpret_hiring_signal— what new roles say about company strategy / paininterpret_funding_event— Series A vs B vs C signals different buyer statesinterpret_executive_move— new CRO / CMO / CFO = different windowsinterpret_tech_stack_change— vendor swaps reveal buying patternsscore_buying_intent— composite score across signalsrecommend_outreach_angle— signal-aligned messaging pivot
Use Cases
- AI SDR platforms wanting smarter signal-based prioritization
- ABM platforms layering intent on top of firmographics
- Sales-intelligence vendors enriching their data products
- In-house AI ops teams building proprietary scoring models
Pricing
Pay-per-event. Compute units billed per Apify standard.
Integration
MCP-compatible: Claude Desktop, Cursor, Cline, Continue, VS Code Copilot Agent, custom MCP clients.
License
MIT.
Author
Elisabeth Hitz — Swiss-American B2B sales executive based in Barcelona. 10+ years closing enterprise deals across ad-tech, SaaS, media, finance, and global hiring. Five-year stretch overshooting quota in publicly-listed B2B SaaS. Building MCP infrastructure for AI sales agents.