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Prospect Research Server

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Enables prospect research through semantic web search, webpage scraping, and batch search using multiple APIs.

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About

Enables prospect research through semantic web search, webpage scraping, and batch search using multiple APIs.

README

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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

from github.com/jzhang17/prospect-research-mcp

Installing Prospect Research Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/jzhang17/prospect-research-mcp

FAQ

Is Prospect Research Server MCP free?

Yes, Prospect Research Server MCP is free — one-click install via Unyly at no cost.

Does Prospect Research Server need an API key?

No, Prospect Research Server runs without API keys or environment variables.

Is Prospect Research Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Prospect Research Server in Claude Desktop, Claude Code or Cursor?

Open Prospect Research Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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