webdatatools-leads-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APIFY_TOKEN | Yes | Your Apify API token. Every tool call runs a WebDataTools Actor under your Apify account and is billed to your Apify credit. Get a free token at https://console.apify.com/settings/integrations |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| company_360A | Company 360 turns a domain into one rich profile row: contacts, tech stack, DNS/e-mail security, TLS/security headers, on-page SEO, hiring signals and company facts (HQ, employees, revenue, founders) merged from our own scraper suite. Billed to your own Apify account: ~$0.05 per company (Apify free-plan price, lower on paid plans). |
| hiring_signalsA | Scrape company job postings and hiring signals from Greenhouse, Lever, Ashby and Workable job boards — one row per job, or one hiring summary per company. Billed to your own Apify account: ~$0.002 per result (Apify free-plan price, lower on paid plans). |
| yc_companies_scraperA | Y Combinator company directory scraper — batch, industry, hiring status, one-liner, description and founder names/titles/LinkedIn/Twitter for every YC-funded startup, one row per company. Billed to your own Apify account: ~$0.002 per result (Apify free-plan price, lower on paid plans). |
| wikidata_entity_enrichmentB | Wikidata Entity & Company Enrichment resolves a QID, company name, or Wikipedia URL to its Wikidata item and returns facts (country, HQ, founders, CEO, employees, revenue), identifiers (ISIN, Crunchbase, LinkedIn) and social/media links — one row per entity. Billed to your own Apify account: ~$0.001 per result (Apify free-plan price, lower on paid plans). |
| email_validatorA | Email Validator checks syntax, MX/A DNS records, disposable/free-provider/role classification and typo suggestions for a list of email addresses — one scored row per address, no SMTP mailbox probing. Billed to your own Apify account: ~$0.0005 per email (Apify free-plan price, lower on paid plans). |
| overpass_poi_extractorA | OpenStreetMap POI Extractor returns shops, cafes, restaurants and any tagged place within a radius, a bounding box, or a named area — one row per point of interest, powered by the free Overpass API. Billed to your own Apify account: ~$0.0005 per place (Apify free-plan price, lower on paid plans). |
| market_quotesA | Live-delayed stock, ETF, index, cryptocurrency and foreign-exchange quotes in one call — price, change, day range, volume and optional history, from free public endpoints with no API key. Billed to your own Apify account: ~$0.001 per Quote (Apify free-plan price, lower on paid plans). |
| remote_jobs_aggregatorA | Merge and de-duplicate remote job listings from RemoteOK, We Work Remotely and Hacker News' Who is Hiring thread into one clean row per job — title, company, salary, tags and apply link. Billed to your own Apify account: ~$0.001 per Job (Apify free-plan price, lower on paid plans). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Most tools target distinct data sources or use cases, but there is some overlap in company enrichment (company_360, wikidata_entity_enrichment, yc_companies_scraper) and job data (hiring_signals, remote_jobs_aggregator, plus hiring signals inside company_360). Descriptions clarify boundaries by specifying input types and sources, so an agent can usually pick correctly, but a few selections require careful reading.
All tool names use snake_case and are descriptive noun phrases, which is consistent and readable. Minor deviations exist in suffix patterns (scraper, extractor, aggregator, validator, enrichment, signals, quotes) and one name includes a number (company_360), but overall the convention is predictable.
Eight tools is well within the ideal 3–15 range for a data enrichment and leads toolkit. Each tool covers a distinct data source or processing need, so the count feels scoped and purposeful.
The surface covers company profiles, hiring signals, email validation, local POIs, market quotes, and YC data, which is broad for a leads-oriented server. Minor gaps remain, such as generic company discovery by criteria or person-level contact enrichment beyond what company_360 offers, but agents can work around them.