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[Overview](#overview)\n2. [Features](#features)\n3. [Architecture](#architecture)\n4. [Prerequisites](#prerequisites)\n5. [Installation](#installation)\n6. [Configuration](#configuration)\n7. [Running the Server](#running-the-server)\n8. [API Documentation](#api-documentation)\n9. [Examples](#examples)\n10. [Advanced Configuration](#advanced-configuration)\n11. [Troubleshooting](#troubleshooting)\n12. [Contributing](#contributing)\n13. [License](#license)\n14. [Roadmap](#roadmap)\n15. [Support](#support)\n\n---\n\n## Overview \nA production-grade lead generation system built on:\n- **MCP Python SDK** for protocol-compliant AI services\n- **Crawl4AI** for intelligent web crawling\n- **AsyncIO** for high-concurrency operations\n\nImplements a full lead lifecycle from discovery to enrichment with:\n- UUID-based lead tracking\n- Multi-source data aggregation\n- Smart caching strategies\n- Enterprise-grade error handling\n\n---\n\n## Features \n| Feature | Tech Stack | Throughput |\n|---------|------------|------------|\n| Lead Generation | Google CSE, Crawl4AI | 120 req/min |\n| Data Enrichment | Hunter.io, Clearbit [Hubspot Breeze] | 80 req/min |\n| LinkedIn Scraping | Playwright, Stealth Mode | 40 req/min |\n| Caching | aiocache, Redis | 10K ops/sec |\n| Monitoring | Prometheus, Custom Metrics | Real-time |\n\n---\n\n## Architecture \n```mermaid\ngraph TD\n A[Client] --> B[MCP Server]\n B --> C{Lead Manager}\n C --> D[Google CSE]\n C --> E[Crawl4AI]\n C --> F[Hunter.io]\n C --> G[Clearbit]\n C --> H[LinkedIn Scraper]\n C --> I[(Redis Cache)]\n C --> J[Lead Store]\n```\n\n---\n\n## Prerequisites \n- Python 3.10+\n- API Keys:\n ```bash\n export HUNTER_API_…","publisher":null,"homepage":"https://github.com/bashirk/inbound-mcp","repository":"https://github.com/bashirk/inbound-mcp","version":"0.1.0","license":"Apache-2.0","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_bashirk-inbound-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.monitoring","name":"Monitoring & Observability","confidence":0.871,"provenance":"derived"},{"slug":"research.people-companies","name":"People & Company Research","confidence":0.848,"provenance":"derived"},{"slug":"data.web-scraping","name":"Web Scraping","confidence":0.814,"provenance":"derived"}],"categories":["data","dev","research"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_bashirk-inbound-mcp","registry":"pypi","observedAt":"2026-11-03T05:27:06.523Z","publishedAt":"2026-02-05T07:20:54.059054Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_bashirk-inbound-mcp","url":"https://pypi.org/project/iflow-mcp_bashirk-inbound-mcp/","firstSeenAt":"2026-09-09T18:20:40.193Z","fetchedAt":"2026-11-03T05:26:15.329Z","normalizedAt":"2026-11-03T05:26:15.329Z"}]},"firstSeenAt":"2026-09-09T18:20:40.193Z","updatedAt":"2026-11-03T05:27:06.523Z"}