AI & Machine Learning
rightaichoice.com
Provides insights on AI tool health, comparisons, alternatives, sentiment, and market mortality.
ENDPOINT 1
https://rightaichoice.com/api/mcp
MCP server metadata
- Name
- mcp-typescript server on vercel
- Version
- 0.1.0
Known tools 10
check_tool_statusUse 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.
Inferred read-onlycompare_toolsUse this when the user asks how two specific AI tools compare, which of two tools to choose, or "X vs Y".
Inferred read-onlyfind_alternativesUse 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.
Inferred read-onlymarket_sentimentUse 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.
Inferred read-onlydeadpool_digestUse 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.
Inferred read-onlyviability_scoreUse 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.
Inferred read-onlypricing_realityUse 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.
Inferred read-onlywhats_changedUse 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.
Inferred read-onlyrecommend_toolsUse 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".
Inferred read-onlycategory_landscapeUse 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.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.mcp-typescript-server-on-vercel]
url = "https://rightaichoice.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"mcp-typescript-server-on-vercel": {
"type": "http",
"url": "https://rightaichoice.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: mcp-typescript-server-on-vercel
Remote MCP URL: https://rightaichoice.com/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"mcp-typescript-server-on-vercel": {
"url": "https://rightaichoice.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"mcp-typescript-server-on-vercel": {
"type": "http",
"url": "https://rightaichoice.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "mcp-typescript-server-on-vercel",
"transport": "streamable-http",
"url": "https://rightaichoice.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for rightaichoice.com was fetched 2026-08-23T15:32:37.213Z.
rightaichoice.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.