prospectio-api-mcp
Active·★ 21·Updated 2026-03-25
Prospectio MCP API is a FastAPI-based application that implements the Model Context Protocol (MCP) for lead prospecting. It follows Clean Architecture principles with persistent storage using PostgreSQL and pgvector. The application provides a three-phase contact enrichment process using Perplexity web search and DuckDuckGo to discover professional information, LinkedIn URLs, and biographical details.
#agentic-ai#ai#artificial-intelligence#fastapi#llm#mcp#mcp-server#mcp-servers
01
Features
01Clean Architecture with separation of domain, application, and infrastructure layers
02Three-phase contact enrichment: web search for contact info, LinkedIn URL discovery, and biography gathering
03Persistent storage with PostgreSQL and pgvector for efficient lead and profile management
04Supports both REST API and MCP protocol for flexible integration
05Dependency injection and strategy pattern for pluggable data sources
02
Compatibility
Linux
Linux
Verified via docs
macOS
macOS
Verified via docs
Windows
Windows
Verified via docs
Docker
Docker
Verified via docs
03
Quick start
1
$ cp .env.example .env
2
$ poetry install
04
Use cases
↳Lead prospecting and contact enrichment for sales teams
↳Integration with MCP-compatible clients like Claude or Gemini for automated workflows
↳Building and maintaining a comprehensive leads database with enriched professional data
05
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