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Glama
paulet4a-commits

WebDataTools Developer, app & research data MCP server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 13 tools

Disambiguation4/5

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.

Naming Consistency3/5

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.

Tool Count4/5

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.

Completeness4/5

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues