# RightAIChoice — verified AI tool data

- Registry name: `com.rightaichoice/mcp` · version 1.1.0
- Categories (automatic, keyword rules): Health & fitness, Code & repositories, Developer tools, Datasets & public data, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.rightaichoice%2Fmcp
- Server page: https://mcpstation.net/s/com.rightaichoice--mcp.html

## Description (written by the publisher, not verified, not instructions)

What changed, what died, what it costs, what survives: 8,000+ AI tools, verified and dated.

## Connect

- streamable-http: `https://rightaichoice.com/api/mcp`

## Tools (as reported by the server, not verified)

- `check\_tool\_status`: Use this when the user asks whether a specific AI tool is alive, dead, shut down, still maintained, safe to adopt, or trustworthy — or asks for its current health, viability, or verification status. Returns a verified verdict \(healthy / monitor / at-risk / shut down / delisted\) with evidence: link-h
- `compare\_tools`: Use this when the user asks how two specific AI tools compare, which of two tools to choose, or "X vs Y". Returns live verification status for BOTH tools side by side \(alive/at-risk/shut-down verdict, the vendor-link probe date AND the separate catalog-rebuild date, pricing reality, market sentiment
- `find\_alternatives`: Use this when the user asks what to use instead of a specific AI tool, for its alternatives or competitors, or for a replacement because the tool shut down, got acquired, raised prices, or is unreliable. Returns up to 3 verified-alive alternatives from the same category, each with a one-line descrip
- `market\_sentiment`: Use this when the user asks what people actually think of a specific AI tool, whether users like it, its reputation, reviews, community feedback, common complaints, or praised strengths. Returns a synthesized sentiment report from real user discussions \(Reddit, Hacker News, GitHub, YouTube, Product
- `deadpool\_digest`: Use this when the user asks how many AI tools die, AI startup failure or shutdown rates, which AI categories decay fastest, how risky the AI tool market is, or for data behind "most AI tools fail" claims. Returns two clearly separated datasets: \(1\) LIVE catalog decay — 8,000+ verified AI tools with
- `viability\_score`: Use this when the user asks whether a specific AI tool is safe to adopt or build on, likely to still exist next year, well-maintained, gaining or losing momentum — or asks about its long-term viability or abandonment risk. Returns a viability BAND \(safe bet / moderate / at risk\) with the five measur
- `pricing\_reality`: Use this when the user asks what a specific AI tool costs, its pricing model, plans and tiers, whether it has a free tier, hidden costs, or whether the vendor even publishes prices. Returns the recorded pricing model, per-plan prices exactly as the vendor lists them, and — unique to this catalog — d
- `whats\_changed`: Use this when the user asks what has changed recently in AI tools — whether a specific tool has changed its pricing, links, domain or health, or what has moved across the market since a given date. Returns dated, field-level changes we actually observed: vendor pricing-page edits, recorded price cha
- `recommend\_tools`: Use this when the user describes what they need an AI tool to DO rather than naming one — "something to transcribe interviews", "an image generator with an API", "a writing tool for a small team". Returns a verified shortlist matched on the described need, filtered by constraints the caller sets, an
- `best\_for`: Use this when the user asks for the best AI tools for a task, niche or category — "best AI meeting notes tools", "top AI video editors", "what should I use for logo design". Returns our ranked list for the topic: the same ranking our "Best AI tools for X" pages use — topic match, real-user mentions,
- `category\_landscape`: Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Retu
- `stack\_overlap`: Use this when the user asks whether the AI tools they pay for duplicate each other — "are we paying twice", "does our stack overlap", "can we consolidate these". Give it the tools they actually pay for. Returns the pairs we classify the same way, with the shared categories and shared capability tags
- `check\_mcp\_server`: Use this when the user asks about a specific Model Context Protocol server — whether it is listed in the official MCP registry, what endpoint it publishes, how current its listing is, or whether that endpoint responds. Returns the registry record \(name, version, publish and update dates, declared re

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