GO AI Tools is a remote MCP server that gives an AI agent 31 tools, among them appstore_compare_markets, appstore_search, bpm_delay_calculator. It answers at https://goaichat.app/mcp-tools/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 7 of 7 times since 8 September 2026; the last check, on 18 October 2026, succeeded.
31 no-AI tools: image conversion and EXIF stripping, App Store assets, colour maths. No API key.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
appstore_compare_markets | Looks up one app (by numeric App Store id, or a pasted apps.apple.com URL) in up to 30 App Store storefronts in a single call, via Apple's public iTunes Lookup API, and reports per-market availability, localized title, price and rating. Cap Inputs: appIdOrUrl, storefronts |
appstore_search | Searches one Apple App Store country storefront by term, via Apple's public iTunes Search API (the same request the GO AI "App Store storefront checker" tool makes from the browser), and returns matching apps with title, seller, price, rati Inputs: term, country, entity |
bpm_delay_calculator | Resolves a musical tempo — either a direct BPM, or a set of tap timestamps/intervals run through the same median-filtered outlier rejection and 2-second session-reset logic as GO AI's tap-tempo tool — then returns the full straight/dotted/t Inputs: bpm, tapTimesMs, tapIntervalsMs, timeSignature, bars, seconds |
build_app_privacy_label | Given which SDKs and features are present in an iOS app (analytics, crash reporting, ads, attribution, accounts, in-app purchases, location, HealthKit, contacts, search, etc.), returns the App Store Connect privacy data types those items mo Inputs: items |
build_app_store_link | Builds a correct apps.apple.com URL for an app ID or a pasted App Store URL, in a chosen two-letter storefront, with optional App Store Connect campaign attribution parameters (pt, ct, and mt=8). Always returns the assembled URL and a param Inputs: appIdOrUrl, store, pt, ct, mt, includeQr |
calculate_app_store_net_revenue | Computes what a developer actually receives from an App Store sale: first removes the storefront's VAT/GST already baked into the customer-facing sticker price, then applies Apple's commission (standard 30%, Small Business Program 15%, or t Inputs: price, countryCode, taxRatePercent, commissionScenario |
calculate_bmi_and_body_fat | Computes BMI (with its standard weight-category label) and body fat percentage via the US Navy circumference method from height, weight, neck, waist, and (for females) hip measurements, plus the resulting lean body mass. The Navy equations Inputs: sex, units, height, weight, neck, waist |
calculate_tdee | Calculate Basal Metabolic Rate with Mifflin-St Jeor and Harris-Benedict (plus Katch-McArdle when body_fat_percent is given), then Total Daily Energy Expenditure, a goal-adjusted calorie target (cut/maintain/bulk), and a protein/fat/carb mac Inputs: sex, age, units, height_cm, height_ft, height_in |
check_contrast | Computes the WCAG 2.x contrast ratio between a foreground (text) and background hex colour, and reports AA/AAA pass or fail for normal text, large text, and UI components (icons/borders/focus rings) separately, since WCAG grades each case o Inputs: foreground, background |
check_strings_files | Compares two or more iOS Localizable.strings files (sent as base64-encoded raw file bytes, not text) against a base file and reports keys missing from each other file, keys present in another file but not the base ("extra", reported but not Inputs: files, baseFile |
convert_heic_to_jpg_png | Converts iPhone HEIC/HEIF photos to JPEG or PNG, decoding with a WebAssembly build of libheif (LGPL-3.0) and re-encoding with sharp -- the same pipeline as GO AI's browser-based HEIC converter tool, run server-side. Accepts 1-50 files as {f Inputs: files, format, quality, bundleAsZip |
convert_video_to_gif | Ports GO AI's browser Live Photo-to-GIF tool server-side: trims a SHORT video clip and converts it to an animated GIF, or (a server-side addition the browser tool cannot do) a real MP4/WebM video. Input is base64 video bytes plus its mimeTy Inputs: videoBase64, mimeType, startSeconds, endSeconds, size, fps |
css_clamp_calculator | Generates a CSS clamp() declaration (in rem) that linearly interpolates a size between a value at a small viewport width and a value at a large one, exactly matching GO AI's clamp() calculator tool (same slope/intercept math, rounded to 4 d Inputs: minSizePx, minViewportPx, maxSizePx, maxViewportPx, rootFontSizePx, previewViewportsPx |
estimate_ai_tokens | Heuristic estimate (NOT a real per-model BPE tokenizer) of how many tokens a piece of text will become, ported from GO AI's browser-side token counter. Blends a chars/4 and words/0.75 baseline with surcharges for punctuation, digits and non Inputs: text, inputPricePerMillionUsd, outputPricePerMillionUsd, expectedOutputTokens, calls, contextWindows |
estimate_window_light | Estimates the indoor light level a window gives a plant, in the category words houseplant care guides use (Direct sun / Bright indirect / Medium light / Low light / Too dark), from the window's hemisphere, compass aspect, what obstructs it, Inputs: hemisphere, aspect, blocked, distance |
find_nearest_passing_color | Given a foreground/background hex pair, moves only the lightness of one side (hue and saturation held fixed) in the smallest step that clears a target WCAG contrast ratio, so a failing brand colour can be fixed without draining its hue. Def Inputs: foreground, background, adjust, target |
generate_app_icon_set | Turns one source image into a ZIP containing a complete iOS Xcode AppIcon.appiconset (AppIcon.png at 1024x1024, plus a hand-written Contents.json Xcode accepts, and optionally AppIcon-Dark.png and AppIcon-Tinted.png for the appearance varia Inputs: imageBase64, variants, backgroundColor |
generate_favicon_set | Turns one source image into a complete favicon set: favicon.ico (a real multi-resolution ICO container holding 16, 32 and 48px PNG-encoded entries -- not a single-size file with an .ico extension), favicon-96x96.png, apple-touch-icon.png (1 Inputs: imageBase64, siteName, shortName, themeColor, backgroundColor, maskablePadding |
image_compress | Downscales an image to fit within a maximum dimension (default 1600px on the longer side, never enlarges -- matching GO AI's browser compressor tool) and re-encodes it as JPEG, WebP or AVIF at a given quality (1-100 scale, default 75). Inpu Inputs: imageBase64, format, quality, maxDimension |
image_compression_curve | Analysis-only tool (no image bytes returned): re-encodes an image at the same fixed 14 quality levels GO AI's browser compressor samples to draw its size-against-quality curve (5, 10, ..., through 100 -- see the qualities in each returned p Inputs: imageBase64, format, maxDimension |
inspect_mobileprovision | Reads an iOS/macOS provisioning profile (.mobileprovision or .provisionprofile, given as base64) by byte-searching its CMS/PKCS7-signed container for the embedded '<?xml ... </plist>' property list and parsing that XML -- it never validates Inputs: base64 |
oklch_convert | Converts a color to and from OKLCH. Accepts either a CSS color string via `color` (hex, rgb()/rgba(), hsl()/hsla(), or oklch()) or explicit OKLCH lightness/chroma/hue via l, c and h — supply one or the other. Returns the canonical oklch() t Inputs: color, l, c, h |
oklch_ramp | Builds a perceptually even OKLCH swatch ramp from a base color (same `color` or l/c/h input as oklch_convert) by sweeping one channel — hue, lightness, or chroma — while holding the other two fixed, so every swatch keeps the same visual wei Inputs: color, l, c, h, mode, steps |
plant_watering_calendar | Builds a soil-check interval per houseplant from a fixed drought-tolerance table (32 common houseplants), adjusted by pot size, pot material, light and season, and returns both a schedule breakdown and the full text of a downloadable RFC 55 Inputs: plants, potSize, potMaterial, light, season, startDate |
project_weight_goal_date | Projects the calendar date a goal body weight is reached under a fixed daily calorie intake. Unlike a naive straight-line calculator (kg to lose x 7700 / deficit, also returned here for comparison), this recomputes Mifflin-St Jeor maintenan Inputs: sex, age, units, heightCm, heightFt, heightIn |
recipe_convert_ingredient | Converts an amount of one ingredient between cup, tablespoon, teaspoon, millilitre, gram and ounce using that specific ingredient's own USDA FoodData Central portion weight, not a single water-based figure applied to everything -- a cup of Inputs: ingredient, variant, amount, unit, cupSizeMl |
recipe_scale | Scales a pasted recipe (one ingredient per array entry, e.g. '2 cups all-purpose flour') from one servings count to another, multiplying each line's leading amount by the ratio and reformatting it as a whole number or simple/mixed fraction Inputs: fromServings, toServings, lines, cupSizeMl |
recommend_ai_model | Static editorial recommendation -- NOT a live benchmark or leaderboard -- for which of six AI models (GPT-5, Gemini, Grok 4, Claude, DeepSeek, Kimi) to use for a given kind of task, ported from GO AI's own daily side-by-side-use judgement, Inputs: task, priority |
render_app_store_screenshot | Composite one or more app screenshots into a drawn device frame (rounded bezel, Dynamic Island on phone-shaped canvases) with a gradient background and optional headline/caption text, and export as PNG at any/all of the 4 official App Store Inputs: pages, texts, backgroundFrom, backgroundTo, joinedScene, size |
resize_images | Resizes a batch of 1+ images to a named real-world preset (App Store screenshots, Open Graph/social cards, Android launcher icon densities, a favicon set) or a custom width/height, using contain (whole picture, padded), cover (fills the fra Inputs: images, preset, fit, customWidth, customHeight, paddingColor |
strip_image_metadata | Reads a JPEG or PNG's hidden metadata (JPEG: EXIF — camera make/model, lens, body/lens serial numbers, capture date, GPS coordinates and altitude — plus XMP, IPTC/Photoshop resources and comment segments; PNG: tEXt/iTXt/zTXt/eXIf/tIME chunk Inputs: image_base64, filename, include_cleaned_image |
Every block below points at https://goaichat.app/mcp-tools/mcp. Pick your client and copy.
claude mcp add --transport http go-ai-tools https://goaichat.app/mcp-tools/mcp
{
"mcpServers": {
"go-ai-tools": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://goaichat.app/mcp-tools/mcp"]
}
}
}{
"mcpServers": {
"go-ai-tools": {
"url": "https://goaichat.app/mcp-tools/mcp"
}
}
}{
"servers": {
"go-ai-tools": {
"type": "http",
"url": "https://goaichat.app/mcp-tools/mcp"
}
}
}{
"context_servers": {
"go-ai-tools": {
"url": "https://goaichat.app/mcp-tools/mcp"
}
}
}{
"mcpServers": {
"go-ai-tools": {
"serverUrl": "https://goaichat.app/mcp-tools/mcp"
}
}
}{
"mcpServers": {
"go-ai-tools": {
"url": "https://goaichat.app/mcp-tools/mcp"
}
}
}name: GO AI Tools
version: 0.0.1
schema: v1
mcpServers:
- name: GO AI Tools
type: streamable-http
url: https://goaichat.app/mcp-tools/mcp{
"mcpServers": {
"go-ai-tools": {
"httpUrl": "https://goaichat.app/mcp-tools/mcp"
}
}
}{
"mcpServers": {
"go-ai-tools": {
"type": "http",
"url": "https://goaichat.app/mcp-tools/mcp"
}
}
}{
"mcpServers": {
"go-ai-tools": {
"url": "https://goaichat.app/mcp-tools/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fgoaichat.app%2Fmcp-tools%2Fmcp&type=streamable_http&id=go-ai-tools&name=GO%20AI%20Tools
It answered our last check on 18 October 2026 in 383 ms. Over 7 checks since 8 September 2026 it answered 7. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by goaichat.app and served from goaichat.app, the vendor's own domain: https://goaichat.app/mcp-tools/mcp.
31, as returned by the server's own tools/list on 8 September 2026: appstore_compare_markets, appstore_search, bpm_delay_calculator, build_app_privacy_label, build_app_store_link, calculate_app_store_net_revenue, calculate_bmi_and_body_fat, calculate_tdee, and 23 more.
It answered our last check on 18 October 2026 in 383 ms. Over 7 checks since 8 September 2026 it answered 7.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://goaichat.app/mcp-tools/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: app.goaichat. Endpoint host: goaichat.app. ARD identifier: urn:air:app.goaichat:mcp:tools.
First indexed 8 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.