Parallel · OAuth Scopes

Parallel OAuth Scopes

OAuth 2.0 probed

Parallel uses OAuth 2.0 but publishes no discrete scopes — access is governed by the grant itself (e.g. client-credentials or role-based authorization) rather than per-scope consent.

This index is generated from the provider’s OpenAPI security definitions (and, where available, its documented scope reference) and refreshes on every APIs.io network build. Browse every provider’s scopes at scopes.apis.io.

CompanyArtificial IntelligenceWeb SearchAgentsDeep ResearchWeb ExtractionData EnrichmentWeb MonitoringLLM Tools

Scopes: 0 Flows: Method: probed

Scopes (0)

Parallel implements OAuth 2.0 but publishes no discrete scopes — access is governed by the grant itself (client-credentials or role-based authorization) rather than per-scope consent.

📄 Provider scope reference: https://docs.parallel.ai/integrations/mcp/task-mcp

Source

OAuth Scopes

generated: '2026-08-14'
method: probed
source: https://platform.parallel.ai/.well-known/oauth-authorization-server
also:
- https://task-mcp.parallel.ai/.well-known/oauth-protected-resource
- https://task-mcp.parallel.ai/.well-known/oauth-authorization-server
- https://api.parallel.ai/.well-known/agent-card.json
notes: >-
  The Parallel REST API itself is API-key only (x-api-key) and declares no oauth2
  securityScheme in the OpenAPI, so derive-oauth-scopes.py finds nothing there.
  OAuth 2.0 exists on the AGENT surfaces: the Task MCP server and the A2A Deep
  Research agent both delegate to an authorization server at
  platform.parallel.ai, whose published metadata declares a single scope. The
  OAuth exchange yields a Parallel API key used as a bearer token.
authorization_server:
  issuer: https://platform.parallel.ai
  metadata_url: https://platform.parallel.ai/.well-known/oauth-authorization-server
  http_status: 200
  authorization_endpoint: https://platform.parallel.ai/getKeys/authorize
  token_endpoint: https://platform.parallel.ai/getKeys/token
  registration_endpoint: https://platform.parallel.ai/getKeys/register
  device_authorization_endpoint: https://platform.parallel.ai/getKeys/device/code
  grant_types_supported:
  - authorization_code
  - urn:ietf:params:oauth:grant-type:device_code
  response_types_supported: [code]
  token_endpoint_auth_methods_supported: [none]
  code_challenge_methods_supported: [S256]
  dynamic_client_registration: true
  pkce_required: true
protected_resources:
- resource: https://task-mcp.parallel.ai
  metadata_url: https://task-mcp.parallel.ai/.well-known/oauth-protected-resource
  http_status: 200
  authorization_servers: [https://platform.parallel.ai]
  bearer_methods_supported: [header, body]
  resource_documentation: https://task-mcp.parallel.ai
- resource: https://api.parallel.ai/a2a
  declared_in: a2a/parallel-agent-card.json (securitySchemes.parallel_oauth)
  http_status: 401
  note: A2A Deep Research agent; same authorize/token endpoints.
scopes:
- name: key:read
  description: >-
    Use a Parallel API key to access the agent. Declared in the authorization
    server metadata, the Task MCP protected-resource metadata, and the A2A agent
    card's oauth2 authorizationCode flow.
  surfaces:
  - https://task-mcp.parallel.ai/mcp
  - https://api.parallel.ai/a2a
scope_count: 1
not_applicable:
  rest_api: >-
    https://api.parallel.ai REST endpoints use apiKey (header x-api-key) with no
    scoping; there is no per-scope authorization on the REST surface.
  probe_misses:
  - {url: 'https://api.parallel.ai/.well-known/oauth-authorization-server', status: 404}
  - {url: 'https://search.parallel.ai/.well-known/oauth-authorization-server', status: 404}
  - {url: 'https://search.parallel.ai/.well-known/oauth-protected-resource', status: 404}
docs: https://docs.parallel.ai/integrations/mcp/task-mcp

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