Dimensions · Authentication Profile
Dimensions Authentication
Authentication
Dimensions secures its APIs with apiKey and oauth2 across 2 declared security schemes, as derived from its OpenAPI definitions.
AnalyticsResearchPublicationsGrantsPatentsClinical TrialsJupyter NotebooksScientometricsBibliometricsResearch IntelligenceDatasetsPolicy DocumentsMCP
Methods: apiKey, oauth2
Schemes: 2
OAuth flows:
API key in: header
Security Schemes
jwt apiKey
· in: header (Authorization)
mcp-oauth oauth2
Source
Authentication Profile
generated: '2026-09-06'
method: searched
source: >-
https://docs.dimensions.ai/dsl/api.html (Getting an API Key / Querying the API /
API Endpoints), https://docs.dimensions.ai/dsl/faq.html,
https://github.com/digital-science/dimensions-analytics-mcp/blob/main/docs/REFERENCE.md,
and probed https://www.dimensions.ai/.well-known/oauth-authorization-server
docs: https://docs.dimensions.ai/dsl/api.html
summary:
types:
- apiKey
- oauth2
api_key_in:
- header
note: >-
Two separate auth surfaces. The Analytics API uses an API key exchanged for a
short-lived JWT sent in the Authorization header. The remote MCP endpoint on
www.dimensions.ai uses OAuth 2.0 authorization code with PKCE and is unrelated
to the Analytics API key.
schemes:
- name: jwt
type: apiKey
in: header
parameter: Authorization
value_format: 'JWT {token}'
description: >-
Bearer-style JWT obtained from the token exchange. The scheme keyword is
literally `JWT`, not `Bearer` — sending `Bearer <token>` fails.
applies_to:
- Dimensions Analytics API
sources:
- openapi/dimensions-authentication-api-openapi.yml
- openapi/dimensions-query-api-openapi.yml
- https://docs.dimensions.ai/dsl/api.html
- name: mcp-oauth
type: oauth2
flow: authorization_code
pkce: S256
issuer: https://www.dimensions.ai
authorization_endpoint: https://www.dimensions.ai/oauth/authorize
token_endpoint: https://www.dimensions.ai/oauth/token
revocation_endpoint: https://www.dimensions.ai/oauth/revoke
scopes:
- mcp
token_endpoint_auth_methods_supported:
- none
applies_to:
- Dimensions marketing-site MCP endpoint (https://www.dimensions.ai/wp-json/mcp/mcp-oauth-server)
sources:
- well-known/dimensions-oauth-authorization-server.json
- well-known/dimensions-oauth-protected-resource.json
token_exchange:
step_1:
operationId: authenticate
method: POST
url: https://app.dimensions.ai/api/auth
alt_url: https://app.dimensions.ai/api/auth.json
body: '{"key": "<your API key>"}'
content_type: application/json
response: '{"token": "<JWT>"}'
step_2:
operationId: dslQuery
method: POST
url: https://app.dimensions.ai/api/dsl/v2
header: 'Authorization: JWT {token}'
body: a raw DSL query string (text/plain)
token_lifetime: approximately 2 hours
refresh: no refresh token — re-POST the API key to /api/auth
source: https://docs.dimensions.ai/dsl/api.html
key_management:
issuance: >-
Self-service inside the Dimensions web application once the institution has
API access — "My Account" > settings. Institutional subscription is a
prerequisite; there is no self-serve developer signup.
key_url: https://app.dimensions.ai/account/settings/general
rotation: not documented
scopes: none — the Analytics key carries the subscription's entitlements
storage_warning: >-
The provider's MCP documentation warns that MCP client config files store the
key in plain text and must never be committed or shared.
source: https://docs.dimensions.ai/dsl/mcp.html
multi_tenancy:
pattern: '<tenant>.dimensions.ai'
default_host: https://app.dimensions.ai
note: >-
Keys are host-scoped. A key issued on a custom instance returns 401
Unauthorized against app.dimensions.ai; the base URL must be set to the
issuing host (DIMENSIONS_BASE_URL for the MCP server, `endpoint=` for dimcli).
source: https://github.com/digital-science/dimensions-analytics-mcp/blob/main/docs/REFERENCE.md
failure_modes:
- status: 401
cause: token expired or invalid
remedy: mint a new token via /api/auth
- status: 401
cause: key issued on a different Dimensions instance
remedy: point the client at the issuing host
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