The AI-native knowledge layer for engineering teams
ScopeDocs is the AI-native knowledge layer for high-velocity engineering teams. We bridge the gap between fast-moving codebases, team communication, and AI coding assistants by turning raw developer activity into self-updating, source-linked documentation.
AI allows engineers to write code faster than ever, but team context, design decisions, and documentation are falling behind. ScopeDocs eliminates context debt by capturing decisions directly where they happen (commits, Slack threads, and Linear tickets) so human developers and AI tools stay aligned on a single, verifiable ground truth.
Our mission
Turn raw developer activity into self-updating, source-linked documentation so people and AI assistants share one verifiable ground truth.
Why teams choose ScopeDocs
- Self-updating context: Say goodbye to obsolete wikis. ScopeDocs ingests pull requests, architecture decisions, and task discussions in real time, maintaining an accurate knowledge base without manual upkeep.
- 100% provenance: Every doc, summary, and insight links directly to its source thread, commit, or ticket. Zero black-box responses. Zero hallucinations.
- Built for AI agents and humans: Powered by the Model Context Protocol (MCP), ScopeDocs feeds grounded organizational context into tools like Cursor, VS Code, and Claude Code.
- Developer-first and frictionless: Plugs into GitHub, Slack, Linear, Jira, and Supabase via read-only access. No changing your workflow. No forced migration.
How ScopeDocs works
Connect your tools with read-only OAuth, stamp decisions with citations back to originating work, then ask in ScopeDocs or over MCP. The same living record powers onboarding, on-call, delivery handoffs, and coding assistants. Step-by-step: quickstart and product overview.
- Connect: GitHub, Linear, Slack, Notion, Jira, Google Drive, Fathom, Datadog, Confluence, and related systems
- Stamp: Decisions become a durable record with who decided, where it came from, and who confirmed it
- Ask: People search and chat; agents pull the same cited decisions over MCP for Cursor, Claude Code, and ChatGPT
Who it is for
Engineering and product teams that lose context in Slack archaeology, stale wikis, and handoffs. ScopeDocs is for teams that want living documentation for onboarding, on-call, and deep technical dives, without asking humans to maintain a second system of record. Use cases: solutions and features.
Trust and security
Your code and conversations remain yours. ScopeDocs uses strict read-only integrations, enforces workspace-level access controls, and never trains public AI models on proprietary team data. See the privacy policy and homepage trust section.
Who builds ScopeDocs
A founding team across product, engineering, and operations. Meet everyone on the team page.
About FAQ
How is ScopeDocs different from a wiki?
Wikis depend on people remembering to update pages. ScopeDocs generates source-linked documentation from work already happening in your tools. See wiki vs living documentation.
Do you support agents?
Yes. Agents pull the same cited decisions over MCP. See MCP for engineering documentation.
How do we get started?
Join the waitlist or talk to us from the product page, or pick a plan on pricing (Team from $25/user/month).
From the blog
- How to build an engineering knowledge base that updates automatically
- From GitHub PRs to living documentation
- How traceability improves trust in AI-generated docs
- Why teams abandon wikis
- Documentation integrations: what to connect first
- Onboarding with context
- When AI writes the docs, who checks the work?
Concept guides
- What is generative documentation? (markdown)
- What is living documentation? (markdown)
- What is source-linked documentation? (markdown)
- Wiki vs living documentation (markdown)
- Generative documentation vs wikis (markdown)
- MCP for engineering documentation (markdown)
- AI documentation for engineering teams (markdown)
Where to go next
Pick a path. Each link is a short stop on the same source-linked record.
- Homepage · index.md · How it works · Agents · Trust
- Product overview (product.md) · Features (features.md) · Solutions
- Pricing (from $25/user/month) · About · About us · Team
- Docs hub · Quickstart (markdown) · MCP for agents (markdown)
- What is generative documentation? · Living documentation · MCP for engineering docs
- MCP discovery · AGENTS.md · sitemap.xml · llms.txt · llms-full.txt
- Blog · Engineering knowledge base · PRs to living docs
- Traceability and trust · Why teams abandon wikis
- Integrations: connect first
- Privacy · hello@scopedocs.ai
Site directory for agents
Every core URL on scopedocs.ai. Traverse via sitemap.xml, sitemap.md, llms.txt, or llms-full.txt.
| Page | HTML | Markdown twin |
|---|---|---|
| Home | scopedocs.ai | index.md |
| Product | /product | product.md |
| Features | /features | features.md |
| Solutions | /solutions | — |
| Pricing | /pricing | pricing.md |
| About | /about | about.md |
| About us | /about-us | — |
| Team | /team | team.md |
| Blog | /blog | — |
| Privacy | /privacy | privacy.md |
| Terms | /terms-of-service | terms-of-service.md |
| Resource | URL |
|---|---|
| Docs hub | /docs · docs.md |
| Quickstart | /docs/quickstart · quickstart.md |
| MCP for agents | /docs/mcp · mcp.md |
| MCP discovery | /.well-known/mcp.json |
| AGENTS.md | /AGENTS.md |
| llms.txt | /llms.txt |
| llms-full.txt | /llms-full.txt |
| Sitemap | /sitemap.xml · /sitemap.md |
Concept guides
- Generative documentation · .md
- Living documentation · .md
- Source-linked documentation · .md
- Wiki vs living · .md
- Generative docs vs wikis · .md
- MCP for engineering docs · .md
- AI docs for engineering teams · .md
Team profiles
- Vivian Nguyen Lin (Founder & CEO)
- Thao Ha (Founding Product Engineer)
- Radha Parikh (Founding Engineer)
Homepage sections
Solutions use cases
Blog topic hubs
- Generative documentation
- AI documentation
- Developer productivity
- Knowledge management
- Engineering workflows
- Documentation automation
- Onboarding documentation
- On-call documentation
- Documentation debt
- Tribal knowledge