MCP server

RightAIChoice — verified AI tool data Official

com.rightaichoice/mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: rightaichoice.comAbout 5,730 tokens per request once connected13 tools

Website Source

https://rightaichoice.com/api/mcp

At a glance

Type: MCP server
Publisher: rightaichoice.com (verified by the MCP Registry)
Status: Working at last check
Tools: 13
Token cost: About 5,730 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http rightaichoice https://rightaichoice.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.rightaichoice]
url = "https://rightaichoice.com/api/mcp"

Gemini CLI

{"mcpServers":{"rightaichoice":{"httpUrl":"https://rightaichoice.com/api/mcp"}}}

Cursor

{"mcpServers":{"rightaichoice":{"url":"https://rightaichoice.com/api/mcp"}}}

VS Code

{"servers":{"rightaichoice":{"type":"http","url":"https://rightaichoice.com/api/mcp"}}}

Antigravity

agy mcp add rightaichoice https://rightaichoice.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"rightaichoice","server_url":"https://rightaichoice.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"rightaichoice","server_url":"https://rightaichoice.com/api/mcp"}

Tools

best_for ~344 tokens
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 ~430 tokens
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
check_mcp_server ~419 tokens
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
check_tool_status ~512 tokens
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 ~410 tokens
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
deadpool_digest ~392 tokens
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
find_alternatives ~357 tokens
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 ~512 tokens
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
pricing_reality ~407 tokens
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
recommend_tools ~698 tokens
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
stack_overlap ~396 tokens
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
viability_score ~349 tokens
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
whats_changed ~504 tokens
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

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