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Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Code & DevOps

RightAIChoice — verified AI tool data

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

Checks passed
15 / 22

0 failed · 7 not measured

Median response
1559 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
13

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Responded

The server completed its last measured handshake. This is an observation, not a guarantee.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
103
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
400
Publisher identityCan the publisher be traced to its source?
402

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 1544 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-11-25, serverInfo.name com.rightaichoice/mcp.

  • Pass
    Lists tools

    tools/list returned 13 tools.

  • Pass
    Current protocol

    Negotiated 2025-11-25. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 1559 ms over 2 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 1572 ms over 2 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    2 of 2 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Pass
    Stable tool list

    No tool was removed and no required parameter was added in the last 30 days.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Pass
    Parameters documented

    30 of 30 parameters have a description (100%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Pass
    Website matches publisher

    The website host matches the reverse-domain namespace.

  • Pass
    Source repo linked

    A repository URL is on file.

  • Not measured
    Repo owner matches

    This namespace is not an io.github login, so the owner comparison does not apply.

  • Pass
    Recently updated

    Updated 2026-11-01T21:24:00.230862Z, within 180 days.

  • Not measured
    Open-source licence

    The GitHub licence lookup has not returned an OSI result yet.

Start using RightAIChoice — verified AI tool data

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http rightaichoice-verified-ai-tool-data https://rightaichoice.com/api/mcp

Capabilities

Tools 13

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, how often AI engines read each tool, and viability, with a founder-reviewed consensus list as a sanity gate. A #1 is named ONLY when the leader clears that gate; otherwise the answer says no single top pick is warranted. Every tool carries its pricing model, viability score and page. Not for: a single named tool (use check_tool_status), two named tools (compare_tools), or a described need with hard filters (recommend_tools).

Discovered
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". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

Discovered
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 remote endpoints, registry status) plus the result of one anonymous request to a registry-published endpoint. Reports observations only. It does NOT assess whether a server is safe, trustworthy, well-built or suitable — we cannot see what a server does with data, and reachability is not safety. Many listed servers require authentication and cannot be queried anonymously; that is normal and is not a fault. Absence from the registry is not evidence a server does not exist. Not for: security assessment, recommending which MCP server to install, or checking AI tools in the RightAIChoice catalog (use check_tool_status).

Discovered
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-health probe results, a 5-signal viability assessment, real-user market sentiment, pricing reality, and verified-alive alternatives. Data comes from the RightAIChoice verification engine: 8,000+ AI tools with every vendor link re-probed on a rolling weekly cycle. Every answer states BOTH dates it stands on and does not merge them: when we last probed the vendor links (what the verdict is built on) and when our catalog record was last rebuilt. Not for: tools outside the AI/software space, historical company research, or legal/financial advice. "Not in the catalog" and a verdict of UNKNOWN are DIFFERENT answers: the first means we hold no entry, the second means we hold one whose signals are not measured yet. Neither is evidence the tool is dead.

Discovered
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) plus an editorial head-to-head verdict when a reviewed comparison exists for the pair. Data comes from the RightAIChoice verification engine: 8,000+ AI tools with every vendor link re-probed on a rolling weekly cycle, and 19,000+ maintained comparison analyses. Not for: single-tool checks (use check_tool_status), comparing more than two tools, or category browsing. If either tool is reported as not in the catalog, that is not evidence it is dead.

Discovered
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 broken vendor-link rates, dead-homepage counts, pricing opacity, and the fastest/slowest-decaying categories, updated daily; (2) a FROZEN dated survival study of 2,291 top Product Hunt launches (of the 2,066 with a determinable outcome, 24.4% are dead within ~2 years). Every figure carries its as-of date. Data comes from the RightAIChoice verification engine; link-decay figures count only VENDOR-published links (site/docs/changelog/repo), never our own derived URLs. Not for: checking one specific tool (use check_tool_status) or predicting a specific tool's future (use viability_score). Decay rates describe categories and cohorts, not individual products.

Discovered
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 description, current health verdict, the date our record of it was last rebuilt, and pricing model. If the asked-about tool shut down, says so (with the recorded reason) and returns live replacements. Alternatives come from the RightAIChoice verification engine (8,000+ AI tools, every vendor link re-probed on a rolling weekly cycle), ranked by category and identity-tag match — never filler from unrelated categories. The response states whether results are curated matches or a category roll-up. Not for: comparing two named tools (use compare_tools) or checking a single tool's status (use check_tool_status).

Discovered
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 Hunt and more): overall sentiment label, per-source positivity, top pros and cons, recurring themes, and mention volume — always stamped with the scan date. Reports come from the RightAIChoice sentiment engine and are served from the verified cache (usability gate: completed scans under 180 days old). If no usable scan is on file, this tool says so honestly instead of guessing. SUBJECT GATE: where we hold a scan but cannot establish that the posts are about this product rather than something else sharing its name, NO score, count or breakdown is returned and the reply says so explicitly. That reply means "we checked and disproved the subject" — it is not an absence of data and not a negative signal about the product. Not for: checking whether a tool is alive (use check_tool_status) or head-to-head choices (use compare_tools). Sentiment reflects public discussion volume, not product quality rankings.

Discovered
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 — documented HIDDEN COSTS: annual-commitment markups, seat minimums, paywalled features, and undisclosed usage fees. Data comes from the RightAIChoice verification engine (8,000+ AI tools re-verified on a rolling weekly cycle). The response distinguishes "the vendor publishes no prices" (their choice — sales call required) from "not recorded in our catalog" (our gap), and never converts currencies. Not for: negotiating quotes, historical price tracking, or financial advice. Prices change frequently — treat the verification date as part of the answer.

Discovered
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, and — unique to this catalog — screened against a survival bar: tools failing our link-health probes or scoring badly on the 5-signal viability model can be excluded outright. Each result carries its own health verdict, the date our record of it was last rebuilt, and pricing model. Matching combines meaning-based search (text embeddings of each listing) with keyword search over 8,000+ verified tools; the response states which methods ran. Tools with no viability measurement yet are listed separately by name rather than silently dropped. Not for: questions about a tool the user already named (use check_tool_status), head-to-head choices (use compare_tools), or filtering by price amount — prices are recorded verbatim in mixed currencies and are never converted or compared numerically.

Discovered
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 named for each pair so the user can judge the claim themselves. IMPORTANT: this compares how RightAIChoice classifies two products — not their features, their APIs, or what a team does with them. It is a prompt to review a pair, never evidence that either is redundant. It never recommends cancelling anything and never totals cost, because plan and seat count are unknown. Not for: feature-by-feature comparison of two named tools (use compare_tools), finding a replacement (use find_alternatives), or calculating spend.

Discovered
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 measured drivers behind it: what the vendor publishes, site health, traction, user sentiment, and recent activity — plus which signal is weakest and why, in plain language. Assessments come from the RightAIChoice verification engine (8,000+ AI tools, every vendor link re-probed on a rolling weekly cycle). A null driver means "not yet measured", which is different from a bad score. Bands are NOT a leaderboard: they classify risk, they do not rank tools against each other. Not for: comparing two tools (use compare_tools), liveness checks alone (use check_tool_status), or investment decisions.

Discovered
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 changes, link health moving, domain and certificate changes, and vendors moving their site. Each carries the date we observed it and how. Reports only VENDOR-OBSERVABLE changes by default — our own editorial rewrites are excluded and the response says so, because our writing changing is not the market moving. Our change record begins on a fixed date stated in every answer; asking about an earlier period returns that date rather than an empty result. Not for: predicting future changes, or a tool's current status (use check_tool_status).

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected1544 ms13
Connected1573 ms13