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Health: ActiveRecent health check succeeded.Last checked 9/28/2026, 1:16:06 PM

Dimensions Analytics

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository6 GitHub StarsTotal stargazers on GitHub for the source repository (6 stars).Visit Website

Search and analyze Dimensions research data: publications, grants, researchers, patents, trials

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Dimensions Analytics, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Dimensions Analytics MCP

Connect Cursor, Claude Desktop, VS Code, and other MCP clients to Dimensions research data.

Dimensions Analytics MCP lets your AI assistant search publications, grants, researchers, reports, source titles, and more; find topic-similar documents from an abstract; run analytics and trends; look up DOIs and Dimensions IDs; and explore the live Dimensions schema — all through natural language in tools your client already supports.

After a short install, you configure your MCP client once, restart the app, and use dimensions like any other integration. Example prompts and workflows are in docs/USAGE.md.

Prerequisites

  • Node.js 20+ — required for the guided installer and manual setup; Claude Desktop supplies its own Node runtime for the extension
  • Dimensions API key — from your Dimensions account (same key as the Dimensions DSL API)

Don’t have an API key yet? Request a demo or quote here.

Quick install

Claude Desktop (macOS or Windows): download the latest extension, then open Settings → Extensions → Advanced settings → Install Extension… and select the file. Enter your API key in the extension settings. See installation details.

Other MCP clients: use the guided installer below.

Mac / Linux — paste in Terminal:

bash
bash -c "$(curl -fsSL https://raw.githubusercontent.com/digital-science/dimensions-analytics-mcp/main/scripts/install.sh)"

Windows — paste in PowerShell:

powershell
irm https://raw.githubusercontent.com/digital-science/dimensions-analytics-mcp/main/scripts/install.ps1 | iex

The installer checks Node.js, downloads Dimensions Analytics MCP, asks for your API key and, if needed, a custom instance URL, and configures Claude Desktop, Cursor, VS Code (Copilot), or Windsurf. Full details: Installation.

No GitHub token is required. The installer downloads @digital-science-dsl/dimensions-analytics-mcp from npm.

Custom Dimensions instance: If you log in at a URL other than https://app.dimensions.ai (for example https://your-instance.dimensions.ai), you must set DIMENSIONS_BASE_URL to that URL. A key from a custom instance fails with 401 Unauthorized against the standard host. The installer asks for this; for manual config:

json
"env": {
  "DIMENSIONS_API_KEY": "your-api-key",
  "DIMENSIONS_BASE_URL": "https://your-instance.dimensions.ai"
}

When done, restart your AI app and look for dimensions in MCP settings. Guided prefix installs update themselves for same-major npm releases; other install methods log an upgrade warning. Details: Updating.

Using Dimensions in chat

Once connected, ask your assistant to search publications, grants, researchers, reports, journals, run analytics, or look up a DOI.

Tool reference: docs/USAGE.md.

More documentation

  • Installation — guided installer and manual setup
  • Usage guide — workflows for AI assistants
  • Reference — names, env vars, rate limits, schema cache
  • MCP field aliases — field name shortcuts accepted by search tools

Package: @digital-science-dsl/dimensions-analytics-mcp on npm.

License

MIT

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
6
Stargazers on the source repository.
Last commit
5d ago
Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Dimensions Analytics

We don't have a confirmed install command for Dimensions Analytics yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/digital-science/dimensions-analytics-mcp) for the current steps.

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Technical Specs & Signals

Category💻Developer Tools
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Last updatedSep 23, 2026
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars6
GitHub Star CountTotal stargazers on GitHub representing community popularity (6 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 23, 2026
35Quality signal: Fair · 35/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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