Replication Radar

Name: Replication Radar
Author: ScienceLiveHub

by ScienceLiveHubversion 0.4.8i★ –iRuns on your computer

Registry nameorg.sciencelive4all/replication-radar

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: GITHUB_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GITHUB_TOKEN, RADAR_OPENAIRE_BASE, RADAR_NANOPUB_SPARQL, RADAR_HTTP_TIMEOUT

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GITHUB_TOKEN secret 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)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

! Caution
Maker matches the repo
The publisher (sciencelive4all.org) is not the repo owner (ScienceLiveHub); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32589 servers in this category
Published to the registry more recently than 74% of the other 32589 servers in this category
Basic checks equal to or better than 31% of the other 32589 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Replication Radar safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GITHUB_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.8) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Detailing Manager

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Tool	What 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 var	Default	Purpose
`RADAR_OPENAIRE_BASE`	`https://api.openaire.eu/graph/v1`	Swap to the Alien AI-Gateway or a mirror — the Radar is endpoint-agnostic
`RADAR_HTTP_TIMEOUT`	`30`	Per-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.

Replication Radar

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Detailing Manager

README from the maker

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

Tools

The reproduction-vs-replication distinction, made computable

Run

Configuration

Known limits (v1, honest)