Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Read public pairwise-preference rankings and their statistical quality evidence. No API key.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://app.aimrank.io/mcp/public在终端中运行这条命令
claude mcp add --transport http aimrank https://app.aimrank.io/mcp/public粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"aimrank": {
"url": "https://app.aimrank.io/mcp/public"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"aimrank": {
"type": "http",
"url": "https://app.aimrank.io/mcp/public"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://app.aimrank.io/mcp/public菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月9日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
aimrank_get_daily_pairFetch today's Daily Pair — the trending matchup chosen at 00:00 UTC. Pairs with the `vote_of_the_day` agent template. Returns the challenge + a fresh matchup. If the cron hasn't run yet, falls back via ok=False so the agent can use `aimrank_get_matchup` instead. api_key is option
aimrank_get_rankingFetch a ranking's metadata + its top 25 entities. Entities carry a Bradley-Terry rating with a 95% interval (ci_95) and a tie-aware rank: entities whose intervals overlap share a rank. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_get_leaderboardGet the top N entities of a ranking with honest uncertainty. Ratings come from a Bradley-Terry fit over the counted votes, each with a 95% interval (ci_95). `rank` is tie-aware — entities the data cannot separate share a rank — and `provisional` is true while any do. `method` say
aimrank_get_matchupGet the next pair of entities to evaluate. Strategies: adaptive (default), swiss, balanced, random, uncertainty, explore, information_gain -- the same selection the web app uses. Left/right order is randomised, and the pair comes with no rating or predicted winner (match_quality
aimrank_search_entitiesFind entities by name substring within a ranking. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_create_share_cardReturn share-ready URLs + embed snippets for a ranking. Formats: "all" (default — everything), "twitter", "linkedin", "embed_leaderboard", "embed_vote", "badge_markdown", "qr_code", "data_card". Pass these to a human to paste into a tweet, blog, Notion page, or Slack message. The
aimrank_predict_matchup_winnerPredict a matchup's winner from the current ratings -- for analysis. Uses Glicko-2 win probability under the same formula matchmaking uses internally. Use it to analyse a ranking, or AFTER a vote to compare the cast vote with what the ratings expected. Never show a prediction to
aimrank_discover_public_rankingsBrowse public rankings — agent equivalent of surfing aimrank.io. Filters: category, media_type ("text" | "image" | "audio" | "video"), sort ("trending" | "recent" | "most_votes" | "random"), limit 1-50. Each result embeds share assets so the agent can hand any ranking back to the
aimrank_list_domain_entitiesList all entities in a domain's pool sorted by rating. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_get_domainGet domain details including entity pool and competition list. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_list_competitionsList all competitions (open voting + brackets) in a domain. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_get_data_cardAuto data card — Layer 7. Provenance + IAA + coverage + per-annotator quality + transitivity + qualification stats in one synthesized markdown audit artefact. Format: 'markdown' (default) or 'json' for structured summary. api_key is optional on the public endpoint; on /mcp/mcp a
aimrank_get_agreementInter-annotator agreement — Layer 4. Returns Cohen's κ (n=2 raters), Fleiss' κ, Krippendorff's α, Scott's π + Landis-Koch interpretation, plus the multi-rater coverage report. `min_raters` overrides the ranking's configured min_raters_per_pair. api_key is optional on the public e
aimrank_get_ceilingPairwise-κ ceiling from qualification attempts. The upper bound any judge / RM can credibly hit on this domain — used to pin the L3 pilot refund clause (refund if κ < ceiling - 5pp). api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_get_plackett_lucePlackett-Luce listwise ranking aggregation — OFFLINE AUDIT ONLY. Reported post-hoc; it NEVER writes ratings, and setting it as a ranking's algorithm returns 400. AimRank has 6 rating engines plus 2 offline aggregators (this and CrowdBT) — never describe it as an 8th rating algori
aimrank_get_crowd_btCrowdBT — joint fit of entity scores + per-annotator reliability η. Surfaces noisy / anti-correlated raters explicitly. Methodology audit, not a live engine. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
aimrank_list_public_judgesBrowse public judge-prompt artifacts shared by other users. Filter by ``category`` (free-text), ``domain_id``, or both. Sort options: ``fork_count`` (default — most-forked first), ``recent``, ``faithfulness``. Returns artifact summaries WITHOUT the full prompt text — call `aimran
aimrank_find_similar_domainsFind public domains most similar to a query or a known domain. Use ``query`` for free-text search ("pharma evaluation") OR ``domain_id`` to find domains similar to one you already know. Exactly one must be provided. TF-IDF + cosine similarity over name + description + category +
aimrank_predictiCOMPLY contract: pairwise prediction with provenance fields. Returns the engine's predicted winner + probability shaped so iCOMPLY's Annex IV section-4 generator can ingest the response directly. See [iCOMPLY_INTEGRATION_STRATEGY.md] for the contract. api_key is optional on the
aimrank_explainiCOMPLY contract: explain a prediction in features + narrative. Returns the Glicko-2 μ/φ inputs for both entities + a deterministic narrative. No LLM-synthesised rationale — these are the actual numbers the math uses, which is exactly what an Annex IV auditor needs to trace. api_
aimrank_healthcheckiCOMPLY contract: liveness + DB-connectivity probe.
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册中心没有列出源代码仓库,因此无法将发布者(aimrank.io)与代码对应起来
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 165 毫秒内响应(HTTP 200)
无需登录
已读取 21 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(4.12.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, SwarmMemo
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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仓库中没有找到 README