WebDataTools Developer, app & research data MCP server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| package_health_checkerA | Package health checker for npm, PyPI and Crates.io — deprecation, last publish date, licence, weekly downloads, maintainers, GitHub stars and a 0-100 health score, one row per package. Billed to your own Apify account: ~$0.002 per result (Apify free-plan price, lower on paid plans). |
| github_repo_healthA | GitHub Repository Health & Activity Report returns stars, commit activity, contributors, latest release and community-health files for any repo list or org: — one scored row per repo. Billed to your own Apify account: ~$0.002 per result (Apify free-plan price, lower on paid plans). |
| vscode_marketplace_extensionsA | VS Code Marketplace Extension Scraper returns installs, ratings, version, categories, tags, repository and license for any VS Code extension id, marketplace URL or search keyword — one row per extension. Billed to your own Apify account: ~$0.0015 per result (Apify free-plan price, lower on paid plans). |
| chrome_web_store_extensionsA | Chrome Web Store Extension Scraper returns users, rating, version, size, category and developer contact for any Chrome extension id or store URL — one row per extension. Billed to your own Apify account: ~$0.0015 per result (Apify free-plan price, lower on paid plans). |
| google_play_scraperA | Google Play Scraper returns app title, developer, rating, price, installs, category, media links, and optional reviews for any package id, Play Store URL or search term — one row per app. Billed to your own Apify account: ~$0.002 per app (Apify free-plan price, lower on paid plans). |
| app_store_lookupA | App Store lookup for iOS apps: ratings, price, version, update date, size, genres and description from any app id, bundle id, store URL or search term — plus Top Free and Top Paid charts. Billed to your own Apify account: ~$0.001 per result (Apify free-plan price, lower on paid plans). |
| crossref_doi_lookupA | CrossRef DOI & Citation Metadata Lookup resolves DOIs, DOI URLs or citations via the CrossRef API and returns title, authors, journal, citation count, abstract and license — one row per item. Billed to your own Apify account: ~$0.001 per result (Apify free-plan price, lower on paid plans). |
| openfda_recall_monitorA | FDA Recalls & Adverse Events Monitor returns food, drug and device recalls, drug and device adverse-event reports, and drug labels from openFDA — one flat, scored row per record for a date range you choose. Billed to your own Apify account: ~$0.002 per result (Apify free-plan price, lower on paid plans). |
| ical_calendar_extractorA | iCal / ICS Calendar Feed to Events Extractor reads any ICS or webcal:// URL and returns one row per event instance, expanding RRULE recurring events within a date window, with times converted to UTC. Billed to your own Apify account: ~$0.0005 per result (Apify free-plan price, lower on paid plans). |
| shopify_products_scraperA | Shopify Store Products Scraper reads any Shopify store's public products.json feed — title, price, compare-at price, discount %, stock, SKU and images, one row per product or variant. Billed to your own Apify account: ~$0.001 per result (Apify free-plan price, lower on paid plans). |
| hacker_news_scraperA | Search Hacker News stories, comments, Show HN and Ask HN posts by keyword, or pull the current front page — via the free Algolia HN API, no API key. One row per story or comment with points, author, comment count and text. Billed to your own Apify account: ~$0.0005 per Story (Apify free-plan price, lower on paid plans). |
| github_trending_scraperA | Scrapes github.com/trending: the daily, weekly or monthly trending repositories or developers, by programming language and spoken language. One row per repo or developer with stars, forks, stars-in-period and description — no API key, no proxies. Billed to your own Apify account: ~$0.002 per Repository (Apify free-plan price, lower on paid plans). |
| stackexchange_scraperA | Search Stack Overflow or any Stack Exchange site's free public API by keyword or tag and get one row per question — score, tags, author, view/answer counts and the accepted answer's text. Billed to your own Apify account: ~$0.0005 per Question (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 13 tools
Each tool targets a distinct data source or platform (npm/PyPI, GitHub, VS Code, Chrome, Google Play, App Store, CrossRef, openFDA, iCal, Shopify, Hacker News, GitHub trending, Stack Exchange). The only slight overlap is between github_repo_health and github_trending_scraper, but they serve different purposes (health metrics vs trending repos), so confusion is minimal.
Names follow a general noun/action pattern but mix conventions: some use underscores (package_health_checker), some use camelCase-like concatenation (github_repo_health), and some are verb phrases (app_store_lookup). The inconsistency is noticeable but each name remains readable and descriptive.
13 tools is a reasonable count for a multi-source data aggregation server. Each tool covers a distinct data source, so the set is well-scoped, though it could be considered slightly heavy if more sources are added without grouping.
The server covers a broad range of developer, app, and research data sources with read-only scraping/lookup operations. However, it lacks tools for write operations (e.g., posting to Hacker News, managing repositories) and some potential sources (e.g., Reddit, Product Hunt), but for a data retrieval server, the surface is fairly complete.