RightAIChoice — verified AI tool data

What RightAIChoice — verified AI tool data does

RightAIChoice — verified AI tool data provides an MCP interface to a catalog of more than 8,000 AI tools. Its data covers vendor-link health, listed pricing, user sentiment, alternatives, viability signals, and AI-tool mortality statistics. The service is intended to help an assistant check whether a product exists, remains available, and is appropriate to recommend instead of relying only on potentially stale model knowledge.

The server is free, read-only, and does not require an API key. It cannot modify records, run paid actions, scrape arbitrary sites, or access systems outside the verified catalog.

How it works

The remote endpoint is https://rightaichoice.com/api/mcp. MCP clients connect to it over streamable HTTP, and tool schemas are available through the standard tools/list operation. The endpoint is stateless and has CORS enabled, which also supports custom MCP clients and agent frameworks that can make streamable-HTTP connections.

The underlying verification engine probes vendor-published links on a rolling weekly schedule, including websites, documentation, changelogs, and repositories. Sentiment is synthesized from more than 10 community and review sources, while mortality statistics are updated daily. Viability results use five measured signals and report a risk band rather than a single leaderboard score.

Answers include a last-verified date and the method or evidence used. An unknown name is returned as “not in the catalog,” not treated as proof that the product is dead. The service also discloses close or fuzzy matches so an assistant can avoid answering about the wrong tool. Live statistics and dated research snapshots are kept distinct.

Tools and capabilities

RightAIChoice — verified AI tool data exposes these tools:

• check_tool_status: Returns a health verdict, supporting evidence, and verification date.
• compare_tools: Checks two products and provides side-by-side results, with an editorial verdict when available.
• find_alternatives: Finds same-category products with health, verification-age, and pricing information.
• market_sentiment: Summarizes user reports and gives positivity by source and scan date.
• pricing_reality: Reports vendor-listed plan prices and documented additional costs.
• viability_score: Assigns a risk band and explains the weakest of five measured drivers.
• deadpool_digest: Provides current category decay rates and a dated Product Hunt survival study.

These capabilities suit recommendation workflows, tool selection, pricing checks, dependency-risk reviews, and questions about whether AI products remain active.

Setup and configuration

No local installation or environment variables are required. Add the remote URL to an MCP-capable client. The README documents setup for Claude Code, Claude Desktop and claude.ai, Gemini CLI, Cursor, Windsurf, and VS Code Copilot agent mode. Frameworks such as the OpenAI Agents SDK, Vercel AI SDK, and LangChain can point their MCP clients at the same endpoint.

The service accepts up to 30 requests per minute per IP. Request logging uses salted IP hashes. No authentication is needed, and the server is designed for read-only access.

MIT licensing applies to the server. The linked mortality dataset is separately identified as CC BY 4.0, with a DOI archive.