An MCP server that turns an AI lead management system into a conversational tool any MCP-compatible AI client can control directly, with tools, resources, and prompts for lead classification, tracking, and weekly reviews.
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process.env. You'll be asked to provide them before it can run.API_PORTLEADMIND_DB_PATHGROQ_API_KEY— Edit .env and optionally fill inGROQ_MODELLEADMIND_API_KEY— Set LEADMIND_AUTH_ENABLED=true and =<secret> for SSE / webhook deployments.LEADMIND_AUTH_ENABLED— Set =true and LEADMIND_API_KEY=<secret> for SSE / webhook deployments.CACHE_TTL_SECCACHE_MAX_ENTRIESDEMO_MODE— "": "true"DEMO_RESET_INTERVAL_SEC— When DEMO_MODE=true (default), the DB is reset to seed data every 6 hours (configurable via ).MCP_TRANSPORT— sse MCP_PORT=8080 python mcp_server.pyMCP_PORT— MCP_TRANSPORT=sse =8080 python mcp_server.pyN8N_WEBHOOK_URLGMAIL_NOTIFY_TO— 3. (Optional) Set env var to enable outbound notifications on new Hot leads.PORTWEBHOOK_PORT[](https://m8ven.ai/mcp/mansisonani07-leadmind-mcp-akbmkw)