prospectio-api-mcp
🥇GoldThe Prospectio API MCP is a powerful server designed to connect with various lead generation applications. Built with FastAPI and Python, it enhances your prospecting efforts by integrating multiple tools for efficient lead management.
1940Updated 2mo ago
Intermediate15 minutes to implementsales
Saves ~120 min per use
Quick InstallView Source
claude install prospectio-ai/prospectio-api-mcpWorks with:
ChatGPTGitHub Copilot
Overview
About This Skill
Prospectio API MCP is a FastAPI-based Model Context Protocol server built for lead generation and prospecting workflows. It implements a sophisticated three-phase contact enrichment process: Phase 1 uses Perplexity web search to discover professional contact information including names, emails, phone numbers, and job titles; Phase 2 performs targeted LinkedIn profile URL discovery via DuckDuckGo HTML search with fallback strategies; Phase 3 gathers biographical details and professional summaries. The application follows Clean Architecture principles and integrates PostgreSQL with pgvector for persistent lead storage and management. Sales teams and AI agents can use this MCP to automate lead research, enrich prospect data with verified contact details, and streamline prospecting workflows.
How to Use
Deploy using Docker Compose or Poetry. Configure environment variables for Perplexity web search (model, timeout, concurrent requests) and DuckDuckGo LinkedIn search (timeout, max results, rate limiting). Run database migration to add bio columns if upgrading. Access via FastAPI routes for lead management and MCP integration.
Use Cases
Integrate multiple lead generation tools
Automate prospecting workflows
Enhance lead data management
Streamline sales processes
Best For
SDRAEMarketingRevOps
Tags
Setup & Installation
Quick Install
Terminal
claude install prospectio-ai/prospectio-api-mcpAlternative Install (Git Clone)
git clone https://github.com/prospectio-ai/prospectio-api-mcpRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an expert in sales prospecting using the Prospectio API MCP. I need to integrate [LEAD_GENERATION_TOOL] with [CRM_SYSTEM] for [COMPANY] in the [INDUSTRY] sector. Provide a step-by-step guide to set up the API connections, including authentication methods, data mapping, and synchronization schedules. Also, suggest best practices for maintaining data integrity and handling API rate limits.
Example Output
## Integration Guide for [LeadGenPro] with [Salesforce] using Prospectio API MCP
### Step 1: Authentication Setup
- Generate API keys from both [LeadGenPro] and [Salesforce]
- Store keys securely in the Prospectio MCP configuration file
- Use OAuth 2.0 for [Salesforce] and Basic Auth for [LeadGenPro]
### Step 2: Data Mapping
```
{
"leadgenpro": {
"first_name": "firstName",
"last_name": "lastName",
"email": "emailAddress",
"company": "companyName"
},
"salesforce": {
"first_name": "FirstName",
"last_name": "LastName",
"email": "Email",
"company": "Company"
}
}
```
### Step 3: Synchronization Schedule
- Set up daily sync at 2 AM UTC to avoid peak hours
- Configure incremental sync to only process new/updated records
- Implement error handling for failed sync attempts
### Best Practices
- Monitor API usage to stay within rate limits
- Regularly update API keys for security
- Validate data before sync to maintain integrityApply to these tools
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