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Documentation Index

Fetch the complete documentation index at: https://trygradient.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

Connectors

Connectors are data sources that candidates can browse and search during an assessment. They simulate the kind of enterprise tools and knowledge bases that professionals use daily — email, project trackers, meeting notes, internal wikis, and enterprise search.

Connector categories

When adding connectors to an assessment, admins choose from categories. Each category has named variants so the connector appears branded to the candidate (e.g., “Gmail” instead of generic “Mail”).
CategoryVariantsDescription
Enterprise SearchEnterprise Search, Glean, CoveoCompany knowledge base with keyword search
Meeting TranscriptsMeeting Transcripts, Granola, OtterSearch meeting notes and call transcripts
MailEmail, Gmail, OutlookSearch email messages and threads
TicketsLinear, Asana, JiraSearch issues and project tasks
Company DocumentsNotion, Confluence, Google DriveSearch company documents and wikis
MCP Server(custom)Connect a real MCP server by URL
All built-in categories use the same TF-IDF search backend — the variant name only affects what the candidate sees and the tool name the AI uses. Meeting Transcripts additionally supports participant and meeting-type filters.

MCP servers

Admins can also connect real Model Context Protocol servers. When adding an MCP Server connector, the admin provides a server URL, probes it to discover available tools, and adds it to the assessment. Candidates interact with MCP connectors the same way — the tools appear in their AI assistant automatically. MCP servers support optional authentication via static bearer tokens or OAuth flows.

How candidates use connectors

During the setup phase, candidates browse available data sources and choose which to connect. During the task phase, they can search connected data sources through the AI assistant using natural language queries. The search is powered by TF-IDF ranking, returning relevant documents that the candidate can then reference in their deliverable.

Signal and noise

Each data source is tagged as either signal (relevant to the task) or noise (a distractor). This distinction is invisible to the candidate — they see all data sources equally and must determine which ones are useful. The scoring engine tracks:
  • Which data sources the candidate connected
  • Which documents they searched for and reviewed
  • Whether they used signal documents in their deliverable
  • Whether they included noise data uncritically

Candidate permissions

Admins can control what candidates can do with connectors via the Candidate Permissions card in the Data tab:
PermissionDefaultEffect
Browse connector documentsOnCandidates can see individual documents within each connector
Add custom MCP serversOffCandidates can connect their own MCP servers
Connector data can be managed programmatically via the Connector Data API. Upload CSV, JSON, TXT, or Markdown files.