Prospect Research MCP Server
Performs parallel keyword-based web searches using Google's search engine via the Search1API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Prospect Research MCP ServerResearch recent news about OpenAI"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Prospect Research MCP Server
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 queriesresearch- A prompt for detailed research questionsreview-code- A prompt for code review
Configuration
Required API Keys
This server requires the following API keys:
TAVILY_API_KEY- For semantic web search functionalityJINA_API_KEY- For webpage scrapingSEARCH1API_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:
Visit Smithery.ai
The server is available at the URL provided by Smithery Web
References
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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