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Websets MCP connects AI assistants to Exa’s Websets API for building and enriching collections of web entities like companies, people, and research papers. What you can do:
  • Find AI startups in San Francisco with funding over $10M
  • Build a database of companies and enrich with CEO names, revenue, employee counts
  • Create a list of research papers and extract key findings
  • Monitor industries for new companies matching your criteria

Installation

Get your Exa API key

Connect to Websets MCP:
https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY
Install with one clickOr add to ~/.cursor/mcp.json:
{
  "mcpServers": {
    "websets": {
      "url": "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"
    }
  }
}


Available Tools

ToolDescription
create_websetCreate a collection with search query, criteria, and enrichments
list_websetsList all websets in your account
get_websetGet details about a webset
update_websetUpdate a webset’s metadata
list_webset_itemsList items in a webset with their data
get_itemGet details about a specific item
create_searchAdd more entities to a webset
get_searchCheck search status
cancel_searchCancel a running search
create_enrichmentExtract data from items (text, number, date, email, phone, url, options)
get_enrichmentCheck enrichment status
delete_enrichmentDelete an enrichment
cancel_enrichmentCancel a running enrichment
create_monitorAuto-update a webset on a schedule

Free searches are included. A Websets plan is required for continued use.

Key Concepts

Entity Types: Search for different kinds of entities:
  • company - companies and startups
  • person - individuals (e.g., for recruiting)
  • research_paper - academic papers
  • article - blog posts and news articles
  • custom - define your own entity type
Enrichment Formats: Extract data in different formats:
  • text - free-form text (CEO name, description)
  • number - numeric values (employee count, revenue)
  • date - dates (founding date, funding date)
  • email, phone, url - contact info
  • options - multiple choice (e.g., funding stage: Seed, Series A, Series B)
Criteria: Natural language filters to verify entities:
  • “Founded after 2020”
  • “Has raised more than $10M in funding”
  • “Located in the United States”
  • “Has more than 50 employees”


Create a Webset
Create a webset of AI startups in San Francisco founded after 2020. Find 10 companies and enrich with CEO name and funding amount.
Add More Entities
Search for 5 more AI companies that have raised Series A funding.
Extract Data
Add an enrichment to extract employee count for each company.
Set Up Monitoring
Create a monitor to check for new AI startups every Monday at 9am.