原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Replication Radar

作者:ScienceLiveHub版本 0.4.8i★ –i在你的电脑上运行
注册名称org.sciencelive4all/replication-radar

安装

概览

作者提供的说明(英文原文)

Turn the OpenAIRE Graph into a ranked replication queue with a Science Live verification overlay.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:GITHUB_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 0 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: GITHUB_TOKEN, RADAR_OPENAIRE_BASE, RADAR_NANOPUB_SPARQL, RADAR_HTTP_TIMEOUT

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "replication-radar": {
      "command": "uvx",
      "args": [
        "replication-radar"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value",
        "RADAR_OPENAIRE_BASE": "your-value",
        "RADAR_NANOPUB_SPARQL": "your-value",
        "RADAR_HTTP_TIMEOUT": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add replication-radar --env GITHUB_TOKEN=your-value --env RADAR_OPENAIRE_BASE=your-value --env RADAR_NANOPUB_SPARQL=your-value --env RADAR_HTTP_TIMEOUT=your-value -- uvx replication-radar

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "replication-radar": {
      "command": "uvx",
      "args": [
        "replication-radar"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value",
        "RADAR_OPENAIRE_BASE": "your-value",
        "RADAR_NANOPUB_SPARQL": "your-value",
        "RADAR_HTTP_TIMEOUT": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "replication-radar": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "replication-radar"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value",
        "RADAR_OPENAIRE_BASE": "your-value",
        "RADAR_NANOPUB_SPARQL": "your-value",
        "RADAR_HTTP_TIMEOUT": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • GITHUB_TOKEN 机密 env
    Optional GitHub token for higher API rate limits (RADAR_GITHUB_TOKEN also accepted)
  • RADAR_OPENAIRE_BASE env
    OpenAIRE Graph API base (default: https://api.openaire.eu/graph/v1)
  • RADAR_NANOPUB_SPARQL env
    Nanopub SPARQL endpoint (default: https://query.knowledgepixels.com/repo/full)
  • RADAR_HTTP_TIMEOUT env
    Per-request timeout in seconds (default: 30)

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。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

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6日

  • ! 注意

    作者与仓库一致

    发布者(sciencelive4all.org)不是仓库所有者(ScienceLiveHub);可能是其他人代为上架的

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32489 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32489 个服务器的 75% 更新
  • 基础检查结果等于或优于此分类中其他 32489 个服务器的 33%

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。

常见问题

Replication Radar 安全吗?

它在 1 项适用的基础检查中通过了 0 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。

它需要哪些密钥或代码?

你需要填写:GITHUB_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.4.8)于12天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Whisper

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Whisper

作者:whisper-sec

One routable IPv6 per AI agent, verifiable from the DNS root. Keyless tools need no signup.

电脑或云端今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Replication Radar

🔗 Live demo → https://openaire-hackathon.netlify.app
▶ Watch the 3-min demo → https://youtu.be/hVyLafY3Y3E · reproduce it step by step → https://openaire-hackathon.netlify.app/demo.html

A tool that makes the OpenAIRE Graph more useful for replication. Search a research field and it answers the question the Graph structurally cannot: *what high-impact work is worth replicating, has it already been independently checked — with what verdict — and is the software reusable?*

Ships as a live web app (the link above — pure static, queries OpenAIRE + the nanopub network + GitHub/Software Heritage from the browser) and an MCP server (this package) that exposes the same engine to any agent. Built for the OpenAIRE AI Hackathon (Theme B), CC-BY.

OpenAIRE's only value signal is citation-popularity (BIP! influence / popularity / impulse, classes C1–C5) — paper-bound, and orthogonal to whether a claim is *true*. The Radar joins three sources to add a replication layer on top:

  • OpenAIRE Graph — impact-ranks candidate papers (api.openaire.eu/graph/v1).
  • Software Heritage + repo signals — surfaces *reusable* method software.
  • Science Live nanopub verdicts — the "already checked → did it hold" overlay.

OpenAIRE AI Hackathon · Theme B (Build) · CC-BY. Built to be reused through the

forrt-replication-template:

discovery at the *start* of a replication, where the template's existing skills

handle the nanopub chain at the *end*.

Tools

ToolWhat it answers
radar(topic)Impact-ranked replication targets in a field — each OPEN (opportunity) or VERIFIED (done, with verdict) + independent tooling + funder context
find_independent_software(doi, topic)Reusable engines not authored by the original team (author-disjoint = *replication*, not *reproduction*), ranked by reuse signal — repo · Software Heritage · downloads · GitHub stars — not citations (returns stars + rank_score)
replication_status(doi)Has this DOI been replicated, did it hold? Verdict(s) — live from the nanopub network, any signer — with status, CiTO relation, repo, and signed Outcome/CiTO nanopub links; open if not
verified_claims()The whole verified-knowledge corpus — every claim the network holds a verdict for (author-agnostic)
replication_template(doi, topic, owner)The FORRT replication template (the *produce* half) — the scaffold repo, the workflow, and a suggested -replication repo name (checks availability under owner)
find_dataset(topic)Hand-off to the OpenAIRE MCP for datasets — replication-radar doesn't search datasets; this says how to find a citable dataset DOI there

The verdict tools pull live from the nanopub network (the FORRT Outcome/CiTO templates on query.knowledgepixels.com); the bundled verdicts.json is an offline fallback. So the MCP is the verified-knowledge layer — pair it with the OpenAIRE MCP and an agent has both the structural Graph *and* "has this been checked, and did it hold".

The reproduction-vs-replication distinction, made computable

A *reproduction* re-runs the original code; a *replication* tests the same claim by a different route. So the Radar filters tooling by author-disjointness from the original paper — e.g. for Phillips et al. 2009, the dismo package (co-authored by Phillips & Elith) is flagged *rooted* / non-independent, while biomod2 and jSDM are *independent*. That filter is the difference between the two, and it's the thing that makes this replication-aware rather than just "find the code".

Run

pip install -e .                       # installs the `mcp` runtime

python -m replication_radar.server # stdio MCP server

Add to an MCP client (.mcp.json):

{ "mcpServers": {

"replication-radar": { "command": "python", "args": ["-m", "replication_radar.server"] } } }

The core (OpenAIRE client + radar logic) is stdlib-only — try it without the MCP runtime:

PYTHONPATH=src python3 demo_sdm.py     # live vertical-slice demo on SDM

Configuration

Env varDefaultPurpose
RADAR_OPENAIRE_BASEhttps://api.openaire.eu/graph/v1Swap to the Alien AI-Gateway or a mirror — the Radar is endpoint-agnostic
RADAR_HTTP_TIMEOUT30Per-request timeout (s)

Known limits (v1, honest)

  • Keyword-bound discovery. OpenAIRE free-text terms are AND-ed; long queries return nothing. Use short topics. The VERIFIED overlay is *guaranteed* (resolved from the verdict index directly), but OPEN-target recall depends on the query.
  • No graph-relation traversal on the public API (paper→its software/data/grant edges aren't exposed): tooling/data are matched heuristically by topic + author independence, not by a hard relation. Upgrades cleanly if a gateway exposes relations.
  • Funder context is field-level, not per-paper (per-paper funder attribution is not reachable); budgets are frequently reported as 0 in records.
  • The verdict index ships 6 source works / 12 chains (Science Live). Extend data/verdicts.json to grow coverage.
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