Clarisights · Authentication Profile
Clarisights Authentication
Authentication
Clarisights secures its APIs with delegated-user-login across 1 declared security scheme, as derived from its OpenAPI definitions.
CompanyMarketing AnalyticsMarketing IntelligenceBusiness IntelligenceData IntegrationReportingDashboardsMCPArtificial Intelligence
Methods: delegated-user-login
Schemes: 1
OAuth flows:
API key in:
Security Schemes
clarisights-workspace-login delegated-user-login
Source
Authentication Profile
generated: '2026-08-13'
method: searched
source: https://clarisights.com/marketing-data-mcp
sources:
- https://clarisights.com/marketing-data-mcp
- https://clarisights.com/llms.txt
- https://github.com/clarisights/claude-plugins
note: >-
Derived-from-spec was not possible: Clarisights publishes no OpenAPI, so
derive-authentication.py produced zero schemes (0 spec files). This profile is
SEARCHED from the provider's own Marketing Data MCP documentation, which
describes the auth model for the only programmatic surface the company ships.
summary:
types: [delegated-user-login]
api_key_in: []
oauth2_flows: []
api_keys_issued: false
api_keys_note: >-
Explicitly none. The docs say it twice — "no separate tokens to manage" and
"No separate tokens, no parallel permission tree." There is no developer
key-issuance surface anywhere on the site.
schemes:
- name: clarisights-workspace-login
type: delegated-user-login
surface: mcp
sources: [https://clarisights.com/marketing-data-mcp]
description: >-
The MCP client (Claude, ChatGPT, Cursor, Gemini, or any MCP-compatible tool)
is pointed at a workspace-scoped connection URL and the end user signs in
with their own Clarisights credentials from inside the AI client. Every call
is then made on that logged-in user's behalf, using their auth, their
permissions, and their history.
authorization_model: acl-inherited
authorization_detail: >-
"Whatever that user can see in Clarisights, the AI can see: accounts,
regions, brands, reports. Nothing more." There is no parallel scope or
permission tree for the agent surface — the workspace ACL is the authority.
admin_gate:
control: Settings -> Workspace -> AI access
granularity: global on/off for the whole workspace
actor: workspace admin
enrollment:
- step: 1
action: Workspace admin enables AI access (Settings -> Workspace -> AI access).
- step: 2
action: Signed-in user opens their MCP settings page and copies the workspace connection URL.
- step: 3
action: User pastes the URL into their AI client and signs in with their Clarisights account.
scopes: []
scopes_note: >-
No OAuth scope surface is published, so scopes/ is deliberately not emitted.
Authorization is entirely ACL-inherited rather than scope-granted.
sso:
supported: true
evidence: >-
The Effective Self-Service page (linked from the provider llms.txt) states
"row/column-level security with SSO". No SSO protocol, IdP list, or metadata
endpoint is published publicly.
protocols_published: false
oidc_discovery:
probed: true
result: none
detail: >-
/.well-known/openid-configuration, /.well-known/oauth-authorization-server
and /.well-known/oauth-protected-resource all return 404 on clarisights.com
and 404 on app.clarisights.com (probed 2026-08-13). See
well-known/clarisights-well-known.yml.
data_handling:
stores_user_data: false
evidence: >-
"The MCP server is an interface, not a store. Your data stays in
Clarisights." Documented GDPR-compliant with no region-specific data
residency wrinkles.
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https://apis.io/mcp
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