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Explorer/MCP/exa-labs/websets-mcp-server

Exa Websets

REMOTE
exa-labs/websets-mcp-server

Create and manage collections of companies, people, and papers, automatically discovering and verifying relevant entities. Enrich items with custom fields like CEO name, funding amount, or company stage, and inspect detailed results. Schedule recurring searches to keep collections fresh and catch new additions.

Tools
16
Indexed
169d ago
Deployment
remote
Endpoint
https://websets-mcp-server--exa-labs.run.tools
Tools (16)
create_webset
Create a new Webset collection. Websets are collections of web entities (companies, people, papers) that can be automatically searched, verified, and enriched with custom data. IMPORTANT PARAMETER FORMATS: - searchCriteria: MUST be array of objects like [{description: "..."}] (NOT array of strings) - enrichments: Each must have description field, optional format and options - enrichment options: MUST be array of objects like [{label: "..."}] (NOT array of strings) Example call: { "name": "AI Startups", "searchQuery": "AI startups in San Francisco", "searchCriteria": [{"description": "Founded after 2020"}], "enrichments": [ {"description": "CEO name", "format": "text"}, {"description": "Company stage", "format": "options", "options": [{"label": "Seed"}, {"label": "Series A"}]} ] }
list_websets
List all websets in your account. Returns a paginated list of webset collections with their current status and item counts.
get_webset
Get details about a specific webset by ID or externalId. Returns full webset information including status, item count, and metadata.
update_webset
Update a webset's metadata. Use this to add or update custom key-value pairs associated with the webset.
delete_webset
Delete a webset and all its items. This action is permanent and cannot be undone.
list_webset_items
List all items in a webset. Returns entities (companies, people, papers) that have been discovered and verified in the collection.
get_item
Get a specific item from a webset by its ID. Returns detailed information about the item including all enrichment data.
create_search
Create a new search to find and add items to a webset. The search will discover entities matching your query and criteria. IMPORTANT PARAMETER FORMATS: - entity: MUST be an object like {type: "company"} (NOT a string) - criteria: MUST be array of objects like [{description: "..."}] (NOT array of strings) Example call: { "websetId": "webset_123", "query": "AI startups in San Francisco", "entity": {"type": "company"}, "criteria": [{"description": "Founded after 2020"}], "count": 10 }
get_search
Get details about a specific search, including its status, progress, and results found.
cancel_search
Cancel a running search operation. This will stop the search from finding more items.
create_enrichment
Create a new enrichment for a webset. Enrichments automatically extract custom data from each item using AI agents (e.g., 'company revenue', 'CEO name', 'funding amount'). IMPORTANT PARAMETER FORMATS: - options (when format is "options"): MUST be array of objects like [{label: "..."}] (NOT array of strings) Example call (text format): {"websetId": "webset_123", "description": "CEO name", "format": "text"} Example call (options format): {"websetId": "webset_123", "description": "Company stage", "format": "options", "options": [{"label": "Seed"}, {"label": "Series A"}]}
get_enrichment
Get details about a specific enrichment, including its status and progress.
update_enrichment
Update an enrichment's metadata. You can associate custom key-value pairs with the enrichment.
delete_enrichment
Delete an enrichment from a webset. This will remove all enriched data for this enrichment from all items.
cancel_enrichment
Cancel a running enrichment operation. This will stop the enrichment from processing more items.
create_monitor
Create a monitor to automatically update a webset on a schedule. Monitors run search operations to find new items. IMPORTANT PARAMETER FORMATS: - cron: MUST be 5-field format "minute hour day month weekday" (e.g., "0 9 * * 1") - entity: MUST be an object like {type: "company"} (NOT a string) - criteria: MUST be array of objects like [{description: "..."}] (NOT array of strings) Example call: { "websetId": "webset_123", "cron": "0 9 * * 1", "query": "New AI startups", "entity": {"type": "company"}, "criteria": [{"description": "Founded in last 30 days"}], "count": 10 }
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