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prospect-research-mcp

Provides tools for conducting prospect research, including semantic search, webpage scraping, and batch processing of search queries. Enhances research tasks with a focus on understanding context and intent behind queries.

Author

prospect-research-mcp logo

jzhang17

No License

Quick Info

GitHub GitHub Stars 1
NPM Weekly Downloads 0
Tools 1
Last Updated 2026-02-19

Tags

mcpprospecttoolsprospect researchresearch mcpbusiness tools

Prospect Research MCP Server

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A Model Context Protocol (MCP) server implementation focused on prospect research tools, deployed on Smithery Web infrastructure.

Features

  • Semantic Search: Contextual search that understands meaning and intent behind queries
  • Webpage Scraping: Extract and process content from multiple web pages
  • Batch Search Processing: Execute multiple search queries in parallel
  • Comprehensive Coverage: Combine different search approaches for thorough research

Tools

  • web-search
  • A semantic search engine (Tavily) that understands the contextual meaning and intent behind queries
  • Inputs:

    • query (string): The search query to look up
  • scrape-webpages

  • Scrape the provided web pages for detailed information
  • Inputs:
    • links (array): A list of URLs to scrape (optimally less than 10)
  • Processes content to remove images and returns combined content from provided URLs

  • batch-web-search

  • Traditional keyword-based search (Google via Search1API) that processes multiple queries simultaneously
  • Inputs:
    • queries (array): List of search queries to process in parallel (optimally less than 30)
  • Executes multiple distinct search queries in parallel

Prompts

  • simple-assist - A basic prompt for general queries
  • research - A prompt for detailed research questions
  • review-code - A prompt for code review

Configuration

Required API Keys

This server requires the following API keys: - TAVILY_API_KEY - For semantic web search functionality - JINA_API_KEY - For webpage scraping - SEARCH1API_KEY - For batch web search

These are configured in the Smithery Web environment for the deployed version.

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "prospect-research": {
      "transport": "sse",
      "url": "https://smithery.ai/server/@jzhang17/prospect-research-mcp",
      "env": {
        "TAVILY_API_KEY": "YOUR_TAVILY_API_KEY",
        "JINA_API_KEY": "YOUR_JINA_API_KEY",
        "SEARCH1API_KEY": "YOUR_SEARCH1API_KEY"
      }
    }
  }
}

For Other MCP Clients

Configure your client to connect to the server using the SSE transport type and the Smithery-hosted URL.

Structure

  • /src/index.ts - Main server entrypoint
  • /src/tools/ - MCP tool implementations (web search, webpage scraping, batch search)
  • /src/prompts/ - MCP prompt implementations
  • /src/types/ - TypeScript type definitions

Deployment

This server is deployed to Smithery Web platform. To access the deployed server:

  1. Visit Smithery.ai
  2. The server is available at the URL provided by Smithery Web

References

See Also

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