Using Claude Code with MCP Tools for Automated Lead Prospecting
Automating Sales Prospecting with AI Agents
A Reddit user shared their experience using Claude Code with Model Context Protocol (MCP) tools to automate lead research workflows. Previously, they spent 2-3 hours each morning manually researching leads through LinkedIn Sales Navigator, enrichment tools, company websites, and scoring against their Ideal Customer Profile (ICP) before pasting everything into spreadsheets.
Technical Implementation
The user connected Claude Code to MCP tools that can query real data sources and return structured lead lists. They use prompts like: "Find 50 VP/Director-level prospects at fintech companies in the Northeast US with 200–500 employees. Enrich with contact info and score against our ICP."
Claude processes these requests and returns ready-to-use lead lists in under a minute. The user added an orchestration layer behind the MCP tools using Latenode to handle enrichment logic and scoring workflows, allowing Claude to call a single tool instead of juggling multiple APIs.
Results and Workflow Impact
The automation reduced prospecting research time from several hours daily to about 30 minutes. This shift allowed the user to spend more time actually talking to prospects rather than conducting manual research. The user is curious if others are using Claude Code, Cursor, or other coding agents for similar sales workflows.
📖 Read the full source: r/ClaudeAI
👀 See Also
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