"author:alphaparkinc" matching MCP servers:

Enables autonomous multi-turn negotiation by calculating the Zone of Possible Agreement, modeling concession decay curves, enforcing reservation price thresholds, and generating structured bargaining counter-offers. It supports agentic commerce and contract negotiation workflows through a native MCP interface.

Enables autonomous agents to score customer leads and evaluate interaction velocity to predict conversions, exposing deterministic, zero-dependency evaluation as an MCP tool. Integrates with MCP clients like Claude Desktop and Cursor for programmatic lead assessment.

Enables multi-provider waterfall enrichment of B2B prospect data, combining firmographic details and verified decision-maker emails with automated fallback and deliverability filtering.

Enables autonomous B2B lead enrichment through a waterfall cascade and technographic stack verification, producing structured output dossiers for AI agents and enterprise pipelines.

Enables predictive B2B outbound buying propensity scoring by aggregating time-decayed hiring, funding, and technographic signals, then classifying accounts into outbound action tiers.