Dimensions Analytics MCP — Watchlist

MCP100 Assessment

Watchlist / Tracking

Why we’re tracking it

Follow-up value is specific to Dimensions DSL research analytics through MCP: Do custom instance URLs and licensed query permissions remain explicit across Dimensions deployments?

Reviewed Oct 5, 2026 · Documentation review; complete setup workflow not independently tested

Best fit

Research discovery and analytics over the Dimensions Analytics DSL/API.

What we know

Local MCP that maps the live Dimensions schema into structured search/lookup/similarity/facet/raw-DSL/schema tools across scholarly and innovation datasets.

Maintenance / activity evidence

@digital-science-dsl/dimensions-analytics-mcp 1.4.7 published 2026-10-05T13:35:29.393Z

Tracking evidence observed Oct 5, 2026. These dated signals do not establish current maintenance. Reviewed enrichment confidence: high.

Verification gaps / watch-outs

Installation and comprehensive security have not been independently audited.
Read/search/analysis over licensed research data.
Dimensions API key.
Sensitive access: Licensed research queries/results, API key

Read-oriented, but licensed data and account credentials require care.

Full authority, access and evidence limits are available in Review context and Access & risk.

All limitations / Review context

Do custom instance URLs and licensed query permissions remain explicit across Dimensions deployments?

The bounded review of the publisher's documented Dimensions DSL research analytics through MCP and release notices identified no disclosed material condition preventing an accurately scoped public tracking entry. The resource's operational permissions remain uncertainty; this assessment does not certify installation safety.

Read-oriented, but licensed data and account credentials require care.
Read/search/analysis over licensed research data.
Dimensions API key.
Queries go to configured Dimensions instance; schema is cached locally.
Sensitive access: Licensed research queries/results, API key
Installation, client compatibility and comprehensive security have not been independently audited. Authentication and access depend on the configured services.
Runtime behavior, dependencies and undisclosed vulnerabilities were not independently audited.
Documented tool authority and any remote data handling must be checked before installation or use.
Tool inventory, client matrix and permissions completeness were not requirements for this Radar tracking review.
Requires Dimensions Analytics subscription/API key.
Capabilities depend on live schema/account entitlements.
Deep pagination and limits apply.
No hosted public MCP endpoint was available in reviewed docs.

Original activity observations

@digital-science-dsl/dimensions-analytics-mcp 1.4.7 published 2026-10-05T13:35:29.393Z

Technical identity

npm/@digital-science-dsl/dimensions-analytics-mcp

Exact implementation source: https://www.npmjs.com/package/@digital-science-dsl/dimensions-analytics-mcp ↗
Reviewed resource type: MCP Server
Repository identity: digital-science/dimensions-analytics-mcp
Package identity: npm:@digital-science-dsl/dimensions-analytics-mcp

Evidence & Sources

Evidence basis: Recorded source evidence
Setup runtime verification: Not independently runtime-tested by MCP100 for this setup workflow.

Reviewed Oct 5, 2026 · Latest source observation Oct 8, 2026

Package registry ↗
@digital-science-dsl/dimensions-analytics-mcp
Recorded package identity, distribution or download evidence.
Includes references whose attribution is not established.
GitHub repository ↗
digital-science/dimensions-analytics-mcp
Recorded repository material and project history.
Includes references whose attribution is not established.

Setup · Watchlist

Install & Agents

Publisher instructions.

Source evidence observed Oct 14, 2026.

Additional setup details required — see the specific gaps below.

Warning

npm README delegates full setup to official GitHub docs/INSTALLATION.md; custom Dimensions endpoint requires DIMENSIONS_BASE_URL. No fabricated copyable command without checking guide.
Requires institutional Dimensions access.
Earlier review note retained for provenance; the V3 verified fields take precedence: Targeted 2026-10-13 re-research: Publisher README was sparse; do not fabricate universal client registration or API credentials.
Documentation example; follow publisher prerequisites and confirm host syntax. No execution performed.
Client-specific example. Not interchangeable with VS Code servers or Codex TOML. No runtime test.
Prior reviewed safety note: Do not invent Dimensions credential names, commands or custom DIMENSIONS_BASE_URL values until direct INSTALLATION.md is checked.
Prior reviewed safety note: Do not place orders, spend tokens, modify infrastructure or upload confidential files as a test.
Prior reviewed safety note: Do not invent a one-line reversal command.
Publisher GitHub README or package registry bin metadata reviewed 2026-10-14.
Client unregister, package uninstall, data deletion, and OAuth/API token/wallet permissions are distinct.

Install / connect
Publisher instructions
Earlier local-setup context; current hosted support follows the V3 Configure instructions: Node 20+, Dimensions API key; choose local stdio. Custom Dimensions instance requires DIMENSIONS_BASE_URL. Hosted setup is documented as coming soon.
publisher documented install or registration · Publisher instructions
npm install -g @digital-science-dsl/dimensions-analytics-mcp
publisher documented launch · Publisher instructions
npx -y @digital-science-dsl/dimensions-analytics-mcp
Configure / authenticate
MCP100 setup guide
Dimensions officially supports Claude Desktop .mcpb extension; a guided `scripts/install.sh` installer for local clients, or hosted Streamable HTTP at `https://app.dimensions.ai/mcp` with `Authorization: Bearer <your API key>`. Node >=20 for local; set DIMENSIONS_BASE_URL for a custom Dimensions instance.
claude desktop or cursor mcpServers json · MCP100 composed guide
{ "mcpServers": { "dimensions": { "args": [ "-y", "@digital-science-dsl/dimensions-analytics-mcp" ], "command": "npx", "env": { "DIMENSIONS_API_KEY": "YOUR_DIMENSIONS_API_KEY" } } } }
Check connection
Suggested check
After client restart inspect MCP entry `dimensions` and search publications or DOI read-only. HTTP health alone is not authenticated access.
Remove / uninstall / revoke
MCP100 setup guide
Remove `dimensions` from the MCP client or uninstall its Claude Desktop .mcpb extension (Settings > Extensions). For local guided installs remove the exact registered client entry and optional package; do not delete Dimensions datasets.
Client unregister, package uninstall, data deletion, and OAuth/API token/wallet permissions are distinct.
Remove client registration · Claude Code only · MCP100 composed guide
claude mcp remove dimensions

Official Documentation & Sources

What it does

Local MCP that maps the live Dimensions schema into structured search/lookup/similarity/facet/raw-DSL/schema tools across scholarly and innovation datasets.

Capability: Data & Databases
Resource type: MCP Server
Industry: Education & Research
Best fit: Research discovery and analytics over the Dimensions Analytics DSL/API.

Representative uses

Search publications/grants/researchers/patents/trials/datasets
Resolve DOI/IDs
Find similar documents
Run citation/funding trends/facets
Execute raw DSL and inspect schema

Limitations

Requires Dimensions Analytics subscription/API key.
Capabilities depend on live schema/account entitlements.
Deep pagination and limits apply.
No hosted public MCP endpoint was available in reviewed docs.

Reviewed access

Access & risk

Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.

Authentication: Dimensions API key.
Permissions: Read/search/analysis over licensed research data.
Data handling: Queries go to configured Dimensions instance; schema is cached locally.
Cost: subscription
Risk and cautions: Read-oriented, but licensed data and account credentials require care.

Access scope and cautions

Write actions: None in the reviewed inventory
Sensitive access: Licensed research queries/results API key
Risk level: moderate

FAQ

Based on reviewed evidence as of 2026-10-08. Watchlist tracking is not a recommendation or a security certification.

Which tasks are documented for this implementation?

The reviewed tasks include: Search publications/grants/researchers/patents/trials/datasets; Resolve DOI/IDs; Find similar documents; Run citation/funding trends/facets; Execute raw DSL and inspect schema.

What setup and authentication are documented?

Recorded installation/entrypoint step: npx -y @digital-science-dsl/dimensions-analytics-mcp. Recorded transport: stdio. Recorded environment-variable notes: DIMENSIONS_API_KEY; DIMENSIONS_BASE_URL (optional); DIMENSIONS_MCP_AUTO_UPDATE (optional); DIMENSIONS_MCP_UPDATE_CHECK (optional). No configuration values are supplied here. Prerequisites: Dimensions Analytics subscription; Node.js 20+. These are the documented setup details, not a claim that installation or client compatibility was independently tested. Authentication: Dimensions DSL API key.

Can it modify data or perform write operations?

The reviewed inventory lists no write actions. An empty inventory alone does not establish read-only authority. Recorded permission boundary: Read/search/analysis over licensed research data.

What data-handling boundary should I consider?

Queries go to configured Dimensions instance; schema is cached locally. Recorded sensitive-access context: Licensed research queries/results; API key.

What limitations and risks should I check before use?

Read-oriented, but licensed data and account credentials require care. Requires Dimensions Analytics subscription/API key. Capabilities depend on live schema/account entitlements. Deep pagination and limits apply. No hosted public MCP endpoint was available in reviewed docs. Runtime behavior, dependencies and undisclosed vulnerabilities were not independently audited. Documented tool authority and any remote data handling must be checked before installation or use.

What cost model is recorded?

The reviewed cost model is subscription. This classification does not establish current prices, quotas or the cost of every downstream operation. Check the applicable service terms before authorizing paid actions.

Is this an official MCP?

Digital Science / Dimensions Analytics is listed as First-party MCP in MCP100’s current evidence.