# io.github.Neji402/engedi (npm · @neji402/engedi-mcp) 93 tools: finance, weather, news, travel, knowledge, SEO. 27 free + 66 paid via USDC x402. - Trust score: 68/100 (medium) - Change this week: +22 - Registry status: active - Liveness: live - Owner verified: no - Last scored: 2026-08-04 ## Components - npm · `@neji402/engedi-mcp`: 68/100 (this document), [markdown](https://verifymcp.io/servers/neji402-engedi/neji402-engedi-mcp.md), [page](https://verifymcp.io/servers/neji402-engedi/neji402-engedi-mcp) ## Channel facts - Registry: `npm` - Package: `@neji402/engedi-mcp` - Version: `1.2.1` - Transport: `stdio` ## Trust breakdown How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog) Scored 2026-08-04. - **Supply Chain Security**: 83/100 - No malware found by supply-chain analysis. - CVE check failed: a known medium-severity CVE affects hono 4.12.33, reached via @modelcontextprotocol/sdk > hono. A fixed version is available. - No install/post-install scripts declared. - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. - **Provenance & Transparency**: 45/100 - Source repository is publicly reachable at the declared URL. - Provenance check failed: no build-provenance attestation is published. - Clear OSI-approved license (MIT). - Actively maintained (last published 13 days ago). - Disclosure check failed: no security disclosure policy was found in the source repository. - **Schema Quality & AI Usability**: 71/100 - AI-judged instruction clarity (good). - Tool/resource definitions use about 7533 tokens (~81/item across 93 items; 93 tools + 0 resources), lean. - Usage-examples check failed: none of the tools include examples. - **Stability & Change Management**: 30/100 - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses. - **Tool Coverage**: 100/100 - 100% of tools have a non-trivial description (not blank, and not just the tool's name). - 100% of tool parameters carry a description. - **Capabilities**: 100/100 - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28. ## Install ### Claude ```bash claude mcp add neji402-engedi -- npx -y @neji402/engedi-mcp ``` ### Codex ```bash codex mcp add neji402-engedi -- npx -y @neji402/engedi-mcp ``` ### opencode ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "neji402-engedi": { "type": "local", "command": [ "npx", "-y", "@neji402/engedi-mcp" ], "enabled": true } } } ``` ### OpenClaw ```bash openclaw mcp add neji402-engedi --command npx --arg -y --arg @neji402/engedi-mcp ``` ### Hermes ```yaml mcp_servers: neji402-engedi: command: "npx" args: ["-y", "@neji402/engedi-mcp"] ``` ### Other ```json { "mcpServers": { "neji402-engedi": { "command": "npx", "args": [ "-y", "@neji402/engedi-mcp" ] } } } ``` ## Changelog Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims. ### 2026-08-04 (score 68, 0) - [security regression] CVE-2026-69207 affects this package: medium - [security regression] Known CVEs: partial → fail ### 2026-08-03 (score 68, +1) No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-08-02 (score 67, +46) - [security regression] Provenance: unverified → fail - [security improvement] Install scripts: unverified → pass - [security improvement] Known CVEs: unverified → partial - [security improvement] Malware scan: unverified → pass - [functional improvement] Dependency health: unverified → partial - [functional improvement] Maintenance: unverified → pass - [functional improvement] MCP protocol: unverified → pass - [functional improvement] Stability: unverified → 0.23 - [functional improvement] Schema quality: unverified → good - [functional improvement] License: unverified → pass - [functional] Licence: MIT ### 2026-07-31 (score 21, −7) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-30 (score 28, −18) - [security regression] Malware scan: pass → unverified ### 2026-07-27 (score 46) First indexed and scored. ## MCP tools (93) ### `get_weather` (~114 tokens) Get current weather for any city or coordinates. Returns temperature, feels-like, humidity, wind speed, UV index, 3-day forecast, hourly breakdowns, sunrise/sunset times, and moon phase. Use this when a user asks about current weather conditions, temperature, or whether to bring an umbrella. Do NOT use for multi-day forecasts (use get_weather_forecast instead). Input parameters: - `location` (string, required): City name or coordinates, e.g. 'New York' or '40.7128,-74.0060' ### `get_news` (~93 tokens) Get latest news headlines from BBC, NYT, and Arstechnica RSS feeds. Returns article titles, summaries, source, publication date, and links. Use when a user asks for current events or news on a topic. Do NOT use for searching news by keyword (use search_news instead). Input parameters: - `topic` (string): Filter by topic: technology, finance, science, world, health. Omit for all topics. ### `get_hacker_news` (~121 tokens) Get top Hacker News stories with scores, comment counts, and direct links. Returns ranked stories sorted by community votes. Use when a user wants to see what's trending on HN or asks about tech news from the developer community. Sort by 'best' for highest quality, 'new' for freshest. Input parameters: - `limit` (number): Number of stories to return (default 25, max 100) - `sort` (string): Sort order: 'best' for highest quality (default), 'new' for freshest, 'top' for most popular ### `get_stock` (~98 tokens) Get real-time stock price and basic market data for any ticker symbol. Returns current price, volume, 52-week high/low, and price change. Some fields like market cap and P/E may be unavailable due to upstream rate limits. Use when a user asks about a stock price. Supports US and international tickers. Input parameters: - `symbol` (string, required): Ticker symbol, e.g. 'AAPL', 'TSLA', 'MSFT' ### `search_movies` (~66 tokens) Search for movies and TV shows with ratings, overview, genres, and poster images. Returns title, release year, rating, vote count, and overview. Use when a user asks about a movie or wants recommendations. Input parameters: - `query` (string, required): Movie or TV show title to search for ### `get_crypto` (~137 tokens) Get cryptocurrency price and market data from CoinGecko. Returns current price, 24h change, volume, market cap (if available). For single coins: includes 7d/30d changes, ATH/ATL, supply data, and sentiment. Multi-coin queries return price, volume, and 24h change only. Free endpoint. Input parameters: - `coin` (string, required): CoinGecko coin ID, e.g. 'bitcoin', 'ethereum', 'solana', 'dogecoin' - `currency` (string): Fiat currency for pricing (default: 'usd'). Options: usd, eur, gbp, jpy, etc. ### `get_geoip` (~93 tokens) Get geolocation data for any IP address. Returns country, region, city, ISP, ASN, and whether the IP is mobile, proxy, or hosting. Use when a user asks where an IP is located or needs network info about an address. Defaults to the caller's IP if none provided. Free endpoint. Input parameters: - `ip` (string): IP address to look up. Omit to use the caller's IP. ### `get_country_info` (~78 tokens) Get country data including capital city, population, languages, currency, flag emoji, and Wikipedia link. Use when a user asks about a country's facts, population, official language, or currency. Free endpoint. Input parameters: - `country` (string, required): Country name or ISO code, e.g. 'United States', 'US', 'France', 'JP' ### `get_exchange_rates` (~117 tokens) Get currency exchange rates with currency names, symbols, and conversion examples. Data from ECB/Frankfurter. Use when a user needs to convert between currencies or check current forex rates. Returns rates relative to a base currency. Cost: $0.005 USDC. Input parameters: - `base` (string): Base currency code (default: 'USD'). e.g. 'EUR', 'GBP', 'JPY' - `target` (string): Target currency code for focused results, e.g. 'EUR', 'GBP'. Omit for all rates. ### `get_stock_news` (~94 tokens) Get recent news articles for a specific stock ticker from Yahoo Finance and Google News RSS. Returns article titles, summaries, publication dates, and source links. Use when a user asks about recent news affecting a specific company or stock. Deduplicates across sources. Cost: $0.01 USDC. Input parameters: - `symbol` (string, required): Stock ticker symbol, e.g. 'AAPL', 'TSLA', 'NVDA' ### `get_timezones` (~103 tokens) Get current time for any timezone with abbreviation, DST status, country name, and a list of 90+ available timezones. Use when a user asks what time it is somewhere, or needs to schedule across timezones. Cost: $0.005 USDC. Input parameters: - `timezone` (string): IANA timezone name, e.g. 'America/New_York', 'Europe/London', 'Asia/Tokyo'. Omit to list all available timezones. ### `get_holidays` (~117 tokens) Get public holidays for any country with days-until countdown, long weekend detection, and holiday type classification. Use when a user asks about upcoming holidays, wants to plan around public holidays, or needs to know if a date is a holiday. Cost: $0.005 USDC. Input parameters: - `country` (string, required): ISO 3166-1 alpha-2 country code, e.g. 'US', 'GB', 'DE', 'JP', 'AU' - `year` (number): Year to check (default: current year) ### `geocode` (~97 tokens) Convert an address or place name to coordinates (latitude/longitude) with timezone, elevation, country, and admin hierarchy. Use when a user provides a location name and you need coordinates for other API calls (weather forecast, sunrise, etc.) or mapping. Cost: $0.005 USDC. Input parameters: - `query` (string, required): Address or place name, e.g. '1600 Pennsylvania Ave, Washington DC' or 'Eiffel Tower' ### `get_weather_forecast` (~140 tokens) Get multi-day weather forecast with detailed daily descriptions, feels-like temperature, humidity, UV index, precipitation probability, and sunrise/sunset times. Use when a user needs a forecast for specific dates or wants to plan outdoor activities. Requires coordinates (use geocode first if needed). Cost: $0.005 USDC. Input parameters: - `days` (number): Number of forecast days (default: 7, max: 16) - `latitude` (number, required): Latitude of the location (e.g. 40.7128 for New York) - `longitude` (number, required): Longitude of the location (e.g. -74.006 for New York) ### `get_sunrise_sunset` (~115 tokens) Get sunrise/sunset times, golden hour, blue hour, day length, and next equinox/solstice for any location. Use when a user asks when the sun rises or sets, wants to plan photography during golden hour, or needs day length info. Requires coordinates. Cost: $0.005 USDC. Input parameters: - `date` (string): Date in YYYY-MM-DD format (default: today) - `latitude` (number, required): Latitude of the location - `longitude` (number, required): Longitude of the location ### `get_earthquakes` (~137 tokens) Get recent earthquakes worldwide from USGS with magnitude labels, depth context, tsunami warnings, and felt reports. Use when a user asks about recent seismic activity, wants earthquake alerts, or needs data for a specific region. Returns events sorted by time. Cost: $0.01 USDC. Input parameters: - `days` (number): How many days back to search (default: 7) - `limit` (number): Maximum results to return (default: 20) - `minMagnitude` (number): Minimum magnitude (default: 4.5). Use 2.0+ for local, 5.0+ for significant. ### `get_air_quality` (~118 tokens) Get air quality index (AQI) for any city with EU and US AQI categories, health recommendations, dominant pollutant, and WHO guideline comparison. Use when a user asks about air pollution, breathing conditions, or whether it's safe to go outside. Cost: $0.01 USDC. Input parameters: - `city` (string, required): City name, e.g. 'Beijing', 'Los Angeles', 'Delhi' - `country` (string): ISO country code for disambiguation, e.g. 'CN', 'US', 'IN' ### `get_url_metadata` (~88 tokens) Extract metadata from any URL including page title, description, Open Graph tags, Twitter cards, favicon, and images. Use when a user shares a link and you need to understand what the page is about, or when building link previews. Cost: $0.01 USDC. Input parameters: - `url` (string, required): Full URL to extract metadata from, e.g. 'https://example.com/article' ### `take_screenshot` (~131 tokens) Capture a full screenshot of any webpage. Returns a base64-encoded PNG image. Use when a user wants to see what a website looks like, needs visual verification, or wants to capture a page for reference. Supports custom viewport sizes. Cost: $0.05 USDC. Input parameters: - `fullPage` (boolean): Capture entire scrollable page (default: false, viewport only) - `height` (number): Viewport height in pixels (default: 720) - `url` (string, required): URL to screenshot - `width` (number): Viewport width in pixels (default: 1280) ### `generate_pdf` (~135 tokens) Generate a PDF document from a URL or raw HTML. Returns a base64-encoded PDF. Use when a user needs to convert a webpage to PDF, generate a printable document, or create a PDF report from HTML. Cost: $0.05 USDC. Input parameters: - `format` (string): Paper format: 'A4', 'Letter', or 'Legal' (default: A4) - `html` (string): Raw HTML string to convert to PDF - `landscape` (boolean): Landscape orientation (default: false) - `url` (string): URL to convert to PDF (provide either url or html, not both) ### `search_news` (~116 tokens) Search news articles by keyword across BBC, NYT, and Arstechnica RSS feeds. Returns matching articles with titles, summaries, and links. Use when a user wants to find news about a specific topic, company, or event. Cost: $0.01 USDC. Input parameters: - `query` (string, required): Search query, e.g. 'artificial intelligence', 'climate change', 'Apple earnings' - `sources` (string): Comma-separated source filter, e.g. 'bbc,nyt'. Omit for all sources. ### `translate` (~131 tokens) Translate text between 30+ languages with automatic language detection, confidence scores, and alternative translations. Use when a user provides text in one language and wants it in another, or asks what language something is written in. Cost: $0.005 USDC. Input parameters: - `source` (string): Source language code (e.g. 'en', 'fr', 'de'). Omit to auto-detect. - `target` (string): Target language code (default: 'es' for Spanish). e.g. 'en', 'fr', 'ja', 'zh' - `text` (string, required): Text to translate ### `get_wikipedia` (~119 tokens) Get a Wikipedia article summary with extracted infobox, word count, categories, and metadata. Use when a user asks about a topic that has a Wikipedia article, needs factual background information, or wants a concise summary of a subject. Cost: $0.005 USDC. Input parameters: - `lang` (string): Language code (default: 'en'). e.g. 'de', 'fr', 'ja' for other languages - `title` (string, required): Wikipedia article title, e.g. 'Artificial intelligence', 'Eiffel Tower', 'Bitcoin' ### `search_wikipedia` (~113 tokens) Search Wikipedia articles across languages with word count and snippet extraction. Use when a user wants to find Wikipedia articles about a topic but doesn't know the exact article title. Returns ranked results with page IDs. Cost: $0.005 USDC. Input parameters: - `lang` (string): Language code (default: 'en') - `limit` (number): Maximum results to return (default: 5) - `q` (string, required): Search query, e.g. 'machine learning', 'World War II', 'quantum physics' ### `get_random_wikipedia` (~89 tokens) Get random Wikipedia articles for discovery and exploration. Use when a user wants to learn something new, needs inspiration, or wants a random knowledge bite. Returns article summaries with links. Cost: $0.005 USDC. Input parameters: - `count` (number): Number of random articles (default: 1, max: 10) - `lang` (string): Language code (default: 'en') ### `define_slang` (~94 tokens) Look up slang and colloquial terms on Urban Dictionary with definitions, sentiment analysis, vote ratios, and related keywords. Use when a user asks what a slang term means, wants to understand internet culture, or needs informal language definitions. Cost: $0.005 USDC. Input parameters: - `term` (string, required): Slang word or phrase to define, e.g. 'yeet', 'gaslighting', 'vibe check' ### `get_random_slang` (~53 tokens) Get a random Urban Dictionary word with its definition, example usage, and sentiment score. Use for fun, educational content, or when a user wants to learn random slang. Cost: $0.005 USDC. ### `search_books` (~175 tokens) Search over 40 million books via Open Library with reading level estimation, genre classification, and subject facets. Use when a user wants book recommendations, needs to find a specific book, or wants to explore a topic through reading. Returns results with cover images and editions. Cost: $0.005 USDC. Input parameters: - `limit` (number): Maximum results per page (default: 10) - `page` (number): Page number for pagination (default: 1) - `q` (string, required): Search query: book title, author name, ISBN, or topic, e.g. 'Dune Frank Herbert', '978-0-441-01359-3' - `sort` (string): Sort order: 'relevance' (default), 'new' (newest first), 'old' (oldest first) ### `get_book` (~95 tokens) Get detailed information about a specific book by its Open Library ID (OLID). Returns full description, reading level, genres, editions, and cover image. Use when you have an OLID from a previous search_books call and need more details. Cost: $0.005 USDC. Input parameters: - `olid` (string, required): Open Library ID, e.g. 'OL45804W' for Dune. Found in search_books results. ### `get_joke` (~122 tokens) Get a random joke with category, type (single or two-part), and safe mode filtering. Use when a user wants to hear a joke, needs humor content, or asks for something funny. Supports category filtering and NSFW filtering. Cost: $0.001 USDC. Input parameters: - `category` (string): Joke category: 'Programming', 'Misc', 'Pun', 'Spooky', 'Christmas', or 'Any' for random from all - `safe` (boolean): Safe/work-appropriate mode (default: true). Set false for uncensored jokes. ### `get_joke_categories` (~49 tokens) List all available joke categories. Use before get_joke if you need to show the user what categories are available, or to validate a category name. Cost: $0.001 USDC. ### `search_jokes` (~98 tokens) Search jokes by keyword across all categories. Use when a user wants jokes about a specific topic, e.g. 'programming', 'cats', 'lawyer'. Returns matching jokes with category and type. Cost: $0.001 USDC. Input parameters: - `q` (string, required): Search keyword, e.g. 'programming', 'lawyer', 'cat' - `safe` (boolean): Safe/work-appropriate mode (default: true) ### `get_cat_fact` (~48 tokens) Get a random cat fact with category classification and sentiment analysis. Use for fun content, pet-related topics, or when a user asks for cat facts. Cost: $0.001 USDC. ### `get_cat_breeds` (~59 tokens) Get cat breed data with temperament scores, personality traits, origin country, and care requirements. Use when a user asks about cat breeds, wants to choose a cat, or needs breed comparison data. Cost: $0.001 USDC. ### `search_flights` (~147 tokens) Search real-time flight prices and schedules from Google Flights. Returns airlines, departure/arrival times, number of stops, duration, and prices. Use when a user wants to find flights, compare travel options, or plan a trip. Cost: $0.10 USDC. Input parameters: - `date` (string, required): Travel date in YYYY-MM-DD format, e.g. '2026-08-15' - `destination` (string, required): Destination airport IATA code, e.g. 'NRT', 'CDG', 'MIA' - `origin` (string, required): Origin airport IATA code, e.g. 'SFO', 'JFK', 'LAX', 'LHR' ### `search_hotels` (~115 tokens) Search real-time hotel prices and availability from Google Hotels and Booking.com. Returns hotel names, star ratings, guest reviews, amenities, pricing, and booking links. Use when a user is planning travel and needs accommodation options. Cost: $0.10 USDC. Input parameters: - `checkin` (string, required): Check-in date in YYYY-MM-DD format - `checkout` (string, required): Check-out date in YYYY-MM-DD format - `city` (string, required): City name, e.g. 'New York', 'Tokyo', 'Paris' ### `search_products` (~90 tokens) Search real-time product prices, ratings, and availability from Walmart. Use when a user wants to compare prices, find a product, or check availability of an item. Returns product names, prices, ratings, and direct links. Cost: $0.05 USDC. Input parameters: - `query` (string, required): Product search query, e.g. 'wireless headphones', 'iPhone 16', 'running shoes' ### `search_jobs` (~118 tokens) Search remote and on-site job listings with salary ranges, company info, and required skills from Remotive and The Muse APIs. Use when a user is looking for job opportunities, wants to know about hiring in a field, or needs salary data. Real listings only. Cost: $0.05 USDC. Input parameters: - `location` (string): Location filter, e.g. 'San Francisco', 'Remote', 'New York' - `query` (string, required): Job search query, e.g. 'software engineer', 'data scientist', 'product manager' ### `search_restaurants` (~112 tokens) Search restaurants with hours, cuisine type, features, and service options from OpenStreetMap. Use when a user asks for restaurant recommendations, wants to find places to eat in a city, or needs restaurant info for planning. Cost: $0.05 USDC. Input parameters: - `city` (string, required): City name, e.g. 'San Francisco', 'Austin', 'Chicago' - `cuisine` (string): Cuisine type filter, e.g. 'pizza', 'sushi', 'italian', 'mexican' ### `search_courses` (~90 tokens) Search online courses with ratings, reviews, provider info, difficulty level, and duration from Coursera. Use when a user wants to learn a new skill, find educational courses, or compare learning options. Returns real course data with enrollment links. Cost: $0.05 USDC. Input parameters: - `query` (string, required): Course search query, e.g. 'machine learning', 'python programming', 'data analysis' ### `search_real_estate` (~115 tokens) Search property listings with prices, bedrooms, bathrooms, square footage, and descriptions from Compass and Redfin. Use when a user is looking to buy or rent property, wants to know housing prices in an area, or needs real estate market data. Cost: $0.10 USDC. Input parameters: - `city` (string, required): City name, e.g. 'Austin', 'San Francisco', 'Miami' - `state` (string, required): US state code, e.g. 'TX', 'CA', 'FL', 'NY' ### `check_domain` (~92 tokens) Check domain availability and retrieve DNS records (A, AAAA, MX, NS, TXT, CNAME, SOA) via Google DNS. Use when a user wants to register a domain, needs DNS info for troubleshooting, or wants to verify domain configuration. Cost: $0.001 USDC. Input parameters: - `domain` (string, required): Domain name to check, e.g. 'example.com', 'myapp.io' ### `check_url_safety` (~93 tokens) Analyze a URL for phishing indicators, suspicious patterns, and threat scoring with TLD reputation data. Use when a user shares a link and wants to know if it's safe, or when verifying URLs before clicking. Returns a threat score and detailed risk assessment. Cost: $0.001 USDC. Input parameters: - `url` (string, required): Full URL to analyze, e.g. 'https://suspicious-site.com/login' ### `read_url` (~98 tokens) Extract clean readable text content from any webpage URL. Returns the main article text, title, author, and publication date stripped of ads, navigation, and boilerplate. Use when a user wants to read an article, needs content from a page, or wants to summarize a URL. Cost: $0.002 USDC. Input parameters: - `url` (string, required): URL to extract content from, e.g. 'https://en.wikipedia.org/wiki/Oasis' ### `take_live_screenshot` (~122 tokens) Capture a live screenshot of a webpage with configurable viewport dimensions. Returns a base64-encoded JPEG image. Use when a user wants a current visual of a website, needs to verify page content visually, or wants to capture a dynamic page. Cost: $0.002 USDC. Input parameters: - `height` (number): Viewport height in pixels (240-1080, default: 720) - `url` (string, required): URL to screenshot - `width` (number): Viewport width in pixels (320-1920, default: 1280) ### `detect_changes` (~71 tokens) Detect website content changes by computing a SHA-256 hash of the page content. Use when monitoring a page for updates, verifying content hasn't changed, or building a change detection workflow. Returns hash and change status. Cost: $0.003 USDC. Input parameters: - `url` (string, required): URL to monitor for changes ### `extract_data` (~91 tokens) Extract structured data from unstructured text: email addresses, phone numbers, URLs, IP addresses, and physical addresses. Use when a user provides raw text and needs to pull out specific data points, or when parsing contact info from documents. Cost: $0.003 USDC. Input parameters: - `text` (string, required): Raw text to extract structured data from, e.g. a block of text containing emails and phone numbers ### `fact_check` (~103 tokens) Verify a factual claim against Wikipedia and major news RSS feeds with confidence scoring. Use when a user states a fact and wants verification, needs to check if something is true, or wants source-backed confirmation. Returns supporting or contradicting evidence with confidence level. Cost: $0.005 USDC. Input parameters: - `claim` (string, required): Factual claim to verify, e.g. 'The Eiffel Tower is 1000 feet tall' or 'Bitcoin was created in 2009' ### `detect_language` (~91 tokens) Detect the language of input text from 13 supported languages using n-gram analysis and common word patterns. Use when a user provides text in an unknown language and needs identification, or when processing multilingual input. Minimum 3 characters required. Cost: $0.001 USDC. Input parameters: - `text` (string, required): Text to identify (minimum 3 characters), e.g. 'Bonjour le monde' or 'こんにちは' ### `detect_ai_content` (~99 tokens) Analyze text for AI-generation patterns using vocabulary richness, burstiness analysis, transition word frequency, and sentence structure patterns. Use when a user wants to check if text was likely written by AI, needs content authenticity verification, or wants a second opinion on authorship. Minimum 20 words required. Cost: $0.003 USDC. Input parameters: - `text` (string, required): Text to analyze (minimum 20 words). Paste the full passage for accurate detection. ### `check_license` (~138 tokens) Check the license of an npm or PyPI package and verify compatibility with your project's license. Returns license type, permissions, and compatibility assessment. Use when evaluating dependencies for legal compliance, or when a user asks about package licensing. Cost: $0.001 USDC. Input parameters: - `ecosystem` (string): Package ecosystem: 'npm' (default) or 'pypi' - `package` (string, required): Package name, e.g. 'express', 'requests', 'lodash' - `projectLicense` (string): Your project's license for compatibility check, e.g. 'MIT', 'Apache-2.0', 'GPL-3.0' ### `extract_content` (~66 tokens) Extract clean readable content from a URL. Returns the main text, title, and metadata stripped of ads and navigation. Use when a user wants to read an article or get page content. Cost: $0.002 USDC. Input parameters: - `url` (string, required): URL to extract content from ### `get_translate_languages` (~45 tokens) List all supported languages for the translate endpoint with their codes and names. Use before calling translate if you need to show the user available languages or validate a language code. Free endpoint. ### `get_x402_diagnostics` (~42 tokens) Get x402 payment protocol diagnostics including facilitator status, network info, and wallet details. Use when debugging payment issues or verifying x402 configuration. Free endpoint. ### `hash_text` (~65 tokens) Generate SHA-1, SHA-256, SHA-512, or MD5 hash from any text. Free endpoint. Input parameters: - `algorithm` (string): sha1, sha256, sha512, md5 (default: sha256) - `text` (string, required): Text to hash ### `generate_uuid` (~18 tokens) Generate a random UUID v4. Free endpoint. ### `base64_encode_decode` (~46 tokens) Base64 encode or decode text. Free endpoint. Input parameters: - `action` (string): encode or decode (default: encode) - `text` (string, required): Text to encode/decode ### `url_encode_decode` (~44 tokens) URL encode or decode text. Free endpoint. Input parameters: - `action` (string): encode or decode (default: encode) - `text` (string, required): Text to encode/decode ### `get_timestamp` (~32 tokens) Get current timestamp with timezone conversion. Free endpoint. Input parameters: - `timezone` (string): IANA timezone (default: UTC) ### `generate_password` (~37 tokens) Generate a random password with configurable complexity. Free endpoint. Input parameters: - `length` (number): Password length 8-128 (default: 16) ### `validate_json` (~49 tokens) Validate, format, or minify JSON. Free endpoint. Input parameters: - `action` (string): validate, format, or minify (default: validate) - `text` (string, required): JSON string to process ### `convert_color` (~58 tokens) Convert colors between hex, RGB, and HSL formats. Free endpoint. Input parameters: - `color` (string, required): Hex color (e.g., #ff0000) - `format` (string): rgb, hsl, or hex (default: rgb) ### `generate_qr` (~53 tokens) Generate QR code URL for any text. Free endpoint. Input parameters: - `size` (number): QR size in pixels 50-1000 (default: 200) - `text` (string, required): Text to encode in QR ### `generate_robotstxt` (~45 tokens) Generate robots.txt content for a site. Free endpoint. Input parameters: - `disallow` (string): Comma-separated paths to disallow - `sitemap` (string): Sitemap URL ### `dns_lookup` (~83 tokens) DNS records lookup via Google DNS (A, AAAA, MX, NS, TXT, CNAME, SOA). Cost: $0.001 USDC. Input parameters: - `domain` (string, required): Domain to lookup - `type` (string): Record type: A, AAAA, MX, NS, TXT, CNAME, SOA, ALL (default: A) ### `cert_check` (~37 tokens) SSL certificate and security header check for a domain. Cost: $0.001 USDC. Input parameters: - `domain` (string, required): Domain to check ### `http_headers` (~37 tokens) Fetch HTTP response headers from any URL. Cost: $0.001 USDC. Input parameters: - `url` (string, required): URL to fetch headers from ### `redirect_chain` (~39 tokens) Follow and map the full redirect chain for a URL. Cost: $0.001 USDC. Input parameters: - `url` (string, required): URL to follow redirects ### `port_check` (~37 tokens) Check if common ports are open on a domain. Cost: $0.001 USDC. Input parameters: - `domain` (string, required): Domain to check ### `sentiment_analysis` (~36 tokens) Basic sentiment analysis with positive/negative scoring. Cost: $0.001 USDC. Input parameters: - `text` (string, required): Text to analyze ### `summarize_text` (~51 tokens) Extractive text summarization by sentence scoring. Cost: $0.001 USDC. Input parameters: - `sentences` (number): Number of sentences (default: 3) - `text` (string, required): Text to summarize ### `analyze_text` (~39 tokens) Text statistics: word count, reading time, top words. Cost: $0.001 USDC. Input parameters: - `text` (string, required): Text to analyze ### `html_to_markdown` (~35 tokens) Convert HTML to clean Markdown. Cost: $0.001 USDC. Input parameters: - `html` (string, required): HTML to convert ### `text_diff` (~46 tokens) Compare two texts with word-level similarity scoring. Cost: $0.001 USDC. Input parameters: - `text1` (string, required): First text - `text2` (string, required): Second text ### `seo_audit` (~42 tokens) Basic SEO audit with score, issues, and recommendations for a URL. Cost: $0.002 USDC. Input parameters: - `url` (string, required): URL to audit ### `page_speed` (~43 tokens) Page speed metrics: TTFB, page size, resource counts, grade. Cost: $0.002 USDC. Input parameters: - `url` (string, required): URL to test ### `meta_extract` (~45 tokens) Extract all meta tags, Open Graph, and Twitter Card data from a URL. Cost: $0.001 USDC. Input parameters: - `url` (string, required): URL to extract meta from ### `schema_extract` (~39 tokens) Extract JSON-LD structured data from a page. Cost: $0.001 USDC. Input parameters: - `url` (string, required): URL to extract schema from ### `link_check` (~39 tokens) Check all links on a page for broken URLs. Cost: $0.003 USDC. Input parameters: - `url` (string, required): URL to check links on ### `analyze_stock` (~92 tokens) AI-powered stock analysis with buy/sell/hold signal, confidence, reasoning, and risk assessment. Use when a user wants to know whether to buy, sell, or hold a stock. Returns structured analysis with signal, confidence, key factors, and risk level. Cost: $0.005 USDC. Input parameters: - `symbol` (string, required): Stock ticker symbol (e.g., AAPL, MSFT, GOOG) ### `analyze_weather` (~77 tokens) Practical weather advice: should I bring an umbrella, what to wear, best time to go outside. Returns impact assessment for travel, outdoor activities, and clothing recommendations. Cost: $0.002 USDC. Input parameters: - `location` (string, required): City name or coordinates (e.g., London, 40.7128,-74.0060) ### `news_briefing` (~69 tokens) Executive news summary: what happened today, overall sentiment, key entities, and emerging trends. Use when a user wants a quick overview of current events. Cost: $0.005 USDC. Input parameters: - `topic` (string): Topic: technology, business, science, general (default: general) ### `analyze_news` (~52 tokens) News sentiment analysis with entity extraction and trend detection. Returns per-article sentiment and overall mood. Cost: $0.003 USDC. Input parameters: - `topic` (string): Topic filter (e.g., technology, business) ### `analyze_crypto` (~67 tokens) Crypto analysis with buy/sell/hold signal, trend direction, volatility level, and risk assessment. Use when a user wants investment advice on a cryptocurrency. Cost: $0.005 USDC. Input parameters: - `coin` (string, required): Coin ID (e.g., bitcoin, ethereum, solana) ### `analyze_seo` (~50 tokens) SEO analysis with prioritized fixes ranked by impact. Returns top 3 fixes with exact instructions and estimated score improvement. Cost: $0.003 USDC. Input parameters: - `url` (string, required): URL to analyze ### `compare_stocks` (~58 tokens) Compare multiple stocks side by side with best/worst performer identification and average change. Cost: $0.01 USDC. Input parameters: - `symbols` (string, required): Comma-separated stock symbols (e.g., AAPL,MSFT,GOOG) ### `get_trust_score` (~55 tokens) Get crowdsourced data quality trust score for any endpoint. Shows review count, trust level, and data quality rating. Free endpoint. Input parameters: - `endpoint` (string, required): Endpoint to check (e.g., stocks, weather, news) ### `submit_review` (~70 tokens) Submit a data quality review for an endpoint and earn credits. Rate accuracy 1-5. Free endpoint. Input parameters: - `accuracy` (number, required): Accuracy rating 1-5 - `endpoint` (string, required): Endpoint to review (e.g., stocks, weather) - `notes` (string): Optional review notes ### `stocks_calculate` (~60 tokens) Technical indicators for stocks: RSI, MACD, SMA, EMA, Bollinger Bands, support/resistance, volatility. Pure math, no AI. Free endpoint. Input parameters: - `symbol` (string, required): Stock ticker (e.g., AAPL, TSLA) ### `crypto_calculate` (~64 tokens) Crypto metrics: trend, volatility, risk score, ATH/ATL distance, momentum score. Pure math, no AI. Free endpoint. Input parameters: - `coin` (string, required): Coin ID (e.g., bitcoin, ethereum) - `currency` (string): Currency (default: usd) ### `portfolio_calculate` (~55 tokens) Portfolio metrics: total value, PnL, position weights. Pure math, no AI. Free endpoint. Input parameters: - `positions` (string, required): JSON array: [{"symbol":"AAPL","amount":10,"avgCost":150}] ### `get_logs` (~79 tokens) Recent API request logs with payment tracking. Shows request timing, payment status, and error details. Free endpoint. Input parameters: - `evt` (string): Filter: pay_ok, pay_fail, settle_fail, api_call - `limit` (number): Max results (default 50, max 200) - `payer` (string): Filter by payer address fragment ### `job_match` (~99 tokens) AI job matching: match score, skill gaps, salary assessment, career advice. Free endpoint. Input parameters: - `location` (string): Preferred location (e.g., San Francisco, Remote) - `role` (string, required): Job role (e.g., software engineer, product manager) - `salary` (string): Expected salary (e.g., $150k) - `skills` (string): Your skills (comma-separated, e.g., React, Python, AWS) ## Diagnostics Captured diagnostic sections: Provenance, Vulnerabilities, Dependencies. The full working is on the page: https://verifymcp.io/servers/neji402-engedi/neji402-engedi-mcp#diagnostics ## Score history - 2026-08-04: 68 - 2026-08-03: 68 - 2026-08-02: 67 - 2026-08-01: 21 - 2026-07-31: 21 - 2026-07-30: 28 - 2026-07-28: 46 - 2026-07-27: 46 ## Links - npm package: https://www.npmjs.com/package/@neji402/engedi-mcp - Socket report: https://socket.dev/npm/package/@neji402/engedi-mcp - Repository: https://github.com/Neji402/engedi-mcp - Changelog RSS feed: https://verifymcp.io/servers/neji402-engedi/neji402-engedi-mcp/changelog.xml - Changelog JSON feed: https://verifymcp.io/servers/neji402-engedi/neji402-engedi-mcp/changelog.json - HTML version of this page: https://verifymcp.io/servers/neji402-engedi/neji402-engedi-mcp