Available Connectors
MITHUNAI provides native connectors across six enterprise data categories:Code Repositories
GitHub & GitLab: Ingest source code, READMEs, Markdown documentation, and pull request
discussions with branch filtering and file glob rules.
Documentation & Websites
Web Crawler & Sitemap Parser: Automated crawling of public documentation, developer portals,
and marketing domains with same-origin fencing.
Workspace Knowledge Bases
Notion & Confluence: Enterprise OAuth integrations syncing spaces, pages, databases, and
structured blocks with hierarchy preservation.
Cloud Object Storage
Google Drive & AWS S3: Real-time webhook and S3 event-driven synchronization for PDFs, Word
(.docx) files, and technical whitepapers.
Support & Ticketing
Zendesk, Jira & Linear: Ingest resolved customer support tickets, help center articles, and
bug tracker threads for agent deflection.
Team Communication
Slack & Discord: Index public technical support channels and knowledge-sharing threads with
noise filtering and author attribution.
Code Repositories: GitHub & GitLab
Repository connectors allow MITHUNAI to answer technical implementation questions, explain API signatures, and cross-reference documentation against live code.Configuration Parameters
Connect via API
Web Crawling & Sitemap Connector
The sitemap and web crawler connector indexes public documentation portals, API reference catalogs, and developer guides.Crawl Policy & Guardrails
- Same-Origin Fencing: The crawler never follows hyperlinks pointing outside the declared domain or path prefix.
- Canonical URL Deduplication: Pages declaring
rel="canonical"pointing to another indexed document are automatically deduplicated. - Robots.txt Adherence: The crawler honors
Disallowrules and crawl-delay directives declared by the target server. - Dynamic JavaScript Rendering: Headless Chromium execution ensures single-page applications (React, Vue, Next.js) render complete DOM trees prior to content extraction.
Workspace Knowledge Bases: Confluence & Notion
Confluence spaces and Notion workspaces contain institutional memory, architecture decision records (ADRs), and internal runbooks.Hierarchy & Table Preservation
- Breadcrumb Navigation: Every indexed chunk retains its complete workspace breadcrumb path (e.g.,
Engineering > Infrastructure > Disaster Recovery). - Markdown Table Extraction: Multi-column tables are extracted into GitHub-flavored Markdown tables to preserve cell relationships during vector search.
- Access Control Mapping: Notion and Confluence access permissions can be mapped directly to MITHUNAI collection access roles.
Delta Synchronization & Webhook Triggers
MITHUNAI minimizes computational overhead and API rate limits by evaluating document content hashes (SHA-256) before re-embedding.