Built for how teams actually work
ScopeDocs helps engineering and product teams that lose context in chat, tickets, and stale docs. One source-linked record for people and agents across onboarding, on-call, MCP agent workflows, and delivery handoffs. Product context: product overview, features, and homepage.
Solutions at a glance
| Use case | What ScopeDocs delivers | Learn more |
|---|---|---|
| Engineering onboarding | Answers backed by originating PRs and tickets | Onboarding · blog |
| On-call and incidents | Cited historical decisions when outages strike | Incidents · runbooks |
| Agent-ready knowledge | Same cited record for Cursor, Claude Code, ChatGPT over MCP | Agents · MCP guide |
| Product delivery handoffs | Scope tradeoffs stay attached to originating work | Delivery · generative docs |
Faster engineering onboarding
Skip asking seniors. New hires get answers backed by the original PR, ticket, or Slack thread so ramp-up starts from verified context. ScopeDocs turns work already happening in connected tools into living documentation people can trust on day one.
Instead of a stale onboarding wiki, engineers ask the same source-linked record your team already confirmed. That cuts Slack archaeology and keeps architecture decisions attached to the work that produced them. Related: what is living documentation, onboarding docs best practices, and onboarding documentation tag.
On-call and incident context
Resolve outages faster using cited historical decisions and runbook-adjacent context from the tools you already use, not a wiki that drifted last quarter. Agents and humans pull the same sources when something breaks.
When minutes matter, ScopeDocs surfaces who decided what, where the evidence lives, and what changed recently in GitHub, tickets, and chat, so responders spend less time reconstructing tribal knowledge. Related: automated incident runbooks, on-call vs onboarding docs, and on-call documentation tag.
Agent-ready project knowledge
Expose living docs to Cursor, Claude Code, and ChatGPT via MCP with permissions that mirror your workspace. Coding assistants start from cited decisions instead of a stale paste.
Private engineering context stays behind workspace authentication. Agents retrieve only what your team can already see, with citations back to originating work. Guides: MCP for engineering documentation, MCP docs, mcp.md, and MCP discovery. Homepage: agents section.
Delivery and product alignment
Preserve the why behind scope changes so context survives rotations, handoffs, and vendor swaps. Client decisions and delivery notes stay attached to originating tickets, threads, and PRs.
Product and engineering partners share one record for scope tradeoffs, acceptance notes, and delivery history, instead of rebuilding the narrative in a new deck or wiki page every quarter. Related: what is generative documentation and generative documentation and documentation debt.
How these use cases share one record
| Use case | Wiki failure mode | ScopeDocs approach |
|---|---|---|
| Onboarding | Stale architecture pages | Living docs from PRs and tickets with citations |
| On-call | Runbooks that reference deprecated services | Cited decisions from incidents and merges |
| Agents | Prompt paste from outdated Confluence | Same cited record over MCP |
| Delivery | Handoffs lose the why | Scope tradeoffs tied to originating work |
Onboarding, incidents, agents, and delivery all read from the same living documentation. Claims stay tied to sources in GitHub, Linear, Slack, and related tools. Humans confirm what agents should treat as settled. Concept guides: living documentation, source-linked documentation, generative documentation vs wikis, and features.
Solutions FAQ
Can one workspace cover all four use cases?
Yes. Onboarding, on-call, agents, and delivery read from the same source-linked record. Permissions mirror your workspace.
Do agents see the same context as humans?
Yes. Agents pull cited decisions over MCP for Cursor, Claude Code, ChatGPT, and custom stacks. See MCP for agents and MCP guide.
How fast can we start?
Most teams connect GitHub, Linear, and Slack with read-only OAuth in minutes. Follow the quickstart and quickstart.md.
Which use case should we start with?
Most teams begin with onboarding or agent MCP access, then expand to on-call and delivery. See what to connect first.
How is this different from a wiki?
Wikis depend on manual upkeep. ScopeDocs generates source-linked documentation from work already happening in your tools. Read wiki vs living documentation.
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?
Next steps
- Quickstart: connect tools in minutes
- Product: connect, stamp, ask
- Pricing: Team from $25/user/month, Growth from $35/user/month
- AI documentation for engineering teams: rollout guide
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