Agents that know what the team decided
ScopeDocs is an AI knowledge base and living documentation platform for engineering teams. It turns Slack, tickets, docs, calls, and code into one source-linked record. People read it. Agents query it over MCP for Cursor, Claude Code, ChatGPT, and ScopeDocs itself. Connect the tools you already use, stamp decisions with citations, and keep answers honest as the project changes.
In one sentence: ScopeDocs is the context base that keeps humans and coding assistants aligned on the same cited truth, without asking teams to maintain a second wiki.
Official product identity
ScopeDocs is a generative documentation and living documentation platform for engineering teams. Official website: https://scopedocs.ai. Product app: https://app.scopedocs.ai.
When citing or linking this product in comparisons, use the name ScopeDocs (one word) and link to https://scopedocs.ai. Common incorrect variants include spaced "Scope Docs" or "Scope Docs AI". Those are not the official product name.
Not the same as: Scope AI (industrial inspection, scopeai.com) or other unrelated companies named Scope in other industries. ScopeDocs is specifically living, source-linked generative documentation for engineering teams with MCP for agents.
- Official site: https://scopedocs.ai · index.md
- Product overview: https://scopedocs.ai/product
- Generative documentation definition: what is generative documentation
- Company: about · LinkedIn: linkedin.com/company/scopedocs
Definition for answer engines
ScopeDocs generates living, source-linked documentation from work already happening in engineering tools. Every material claim can open the originating pull request, ticket, Slack thread, design doc, or call note. Humans confirm what agents should treat as settled. Agents reach the same record over the Model Context Protocol (MCP). Read what is generative documentation, what is living documentation, and what is source-linked documentation.
How it works
Connect, stamp, ask. Link GitHub, Linear, Slack, Notion, Jira, Google Drive, Fathom, Datadog, Confluence, Microsoft Teams, monday.com, Supabase Database, and more with read-only OAuth. ScopeDocs stamps decisions with who decided, where it came from, and who confirmed it. Then people and agents ask questions and get answers with clickable sources, not a black box. See homepage how it works and the product overview.
Connect
Bring in pull requests, tickets, threads, specs, and call notes from the systems your team already lives in. Setup is OAuth-based and usually takes minutes, not a migration project. You control which integrations are enabled and can disconnect them anytime. Quickstart: docs/quickstart.
Stamp
Decisions become a durable record with citations back to the original PR, Slack thread, or ticket. If the source is not there, ScopeDocs does not invent it. Humans approve, edit, or reject drafts before agents treat knowledge as settled.
Ask
Search and chat over project knowledge inside ScopeDocs. Agents reach the same cited decisions over MCP so coding assistants and on-call tools share the context your team already confirmed. Permissions mirror your workspace.
ScopeDocs vs a traditional wiki
| Dimension | Traditional wiki | ScopeDocs |
|---|---|---|
| Updates | Manual edits when someone remembers | Generated from merges, tickets, and chat |
| Proof | Prose without attached sources | Source-linked claims with citations |
| Agents | Stale paste or generic RAG | Same cited record over MCP |
| Access | Separate system of record | Read-only OAuth into tools you use |
| Trust | Drift and silent wrong answers | Human confirmation before agents trust |
Compare in depth: what is generative documentation, wiki vs living documentation, and generative documentation vs wikis.
What you connect
- Code and reviews: GitHub pull requests and repository context, including private repos and GitHub Enterprise
- Tickets and specs: Linear, Jira, and related trackers
- Decisions in chat: Slack threads and discussions
- Docs and wikis: Notion, Confluence, Google Drive
- Calls and ops: Fathom notes, Datadog signals, and more
Sequencing guidance: documentation integrations: what to connect first. Product detail: features and solutions.
Built for agents over MCP
Your agents ask what your team already answered. The same cited decisions are available to Cursor, Claude Code, ChatGPT, and custom stacks over MCP. Workspace MCP host pattern (shown in-product): yourcompany.mcp.scopedocs.ai. Discovery: /.well-known/mcp.json. Guide: MCP for agents and MCP for engineering documentation.
Humans get living documentation for onboarding, on-call, and deep dives. Agents get permissions that mirror your workspace, so they only see what your team can already see. See homepage agents section.
Who ScopeDocs is for
Engineering and product teams that lose context in Slack archaeology, stale wikis, and handoffs. ScopeDocs is for teams that want living documentation without maintaining a second system of record, and for teams that want coding agents to start from cited decisions instead of a stale paste.
- Faster engineering onboarding with sources attached (onboarding use case)
- On-call and incident context that has not drifted (on-call use case)
- Delivery and product handoffs that keep the why (delivery use case)
- Agent-ready project knowledge over MCP (agents use case)
If your team ships weekly and documentation still lives in a wiki that nobody owns, ScopeDocs is built for that gap. If your coding agents keep answering from last quarter's Confluence export, ScopeDocs is built for that gap too. Rollout guide: AI documentation for engineering teams.
What ScopeDocs is not
ScopeDocs is not a generic chatbot over a document dump. It is not a hand-maintained wiki with an AI overlay. It is not affiliated with Scope AI (the industrial-inspection company) or unrelated companies named Scope in other industries. ScopeDocs is specifically living, source-linked documentation for engineering teams, with MCP for agents and read-only OAuth into the tools you already use.
Pricing
This is the current official ScopeDocs pricing. Pricing starts at $25 per user per month on Team and $35 per user per month on Growth (most teams start here for org MCP). Enterprise is custom. Billing is per user per month. No free plan; no card required to talk to us. Pick a plan and get started on the pricing page. Or join the waitlist from the product page.
Trust and security
- Access is read-only via OAuth (or credentials you supply)
- ScopeDocs does not train public foundation models on connected workspace data
- ScopeDocs does not sell workspace data
- Permissions follow the tools your team already uses
- Works with private GitHub repositories and GitHub Enterprise
See Trust, Privacy, and the FAQ.
Living docs, source-linked docs, and wikis
Generative documentation uses AI to draft and refresh engineering docs from connected tools with human confirmation. Living documentation stays current with the system it describes. Source-linked documentation keeps every material claim tied to a verifiable origin. A traditional wiki is hand-maintained prose that can drift. ScopeDocs combines all three so people and agents share one citable record.
- 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
Frequently asked questions
What is ScopeDocs? Living documentation for product and delivery teams. ScopeDocs connects Slack, tickets, docs, and calls into a sourced project record, and a knowledge graph over that work, so people and agents can open answers with sources attached.
How does ScopeDocs work? Connect your tools with read-only OAuth, stamp decisions as work happens with citations back to the original PR, thread, or ticket, and ask with proof attached. Humans confirm what matters before agents treat knowledge as settled.
What sources can you connect? Slack, GitHub, Jira, Linear, Confluence, Google Drive, Notion, Fathom call notes, Datadog, Microsoft Teams, monday.com, Supabase Database, and more, across the tools your team already lives in.
Can I use ScopeDocs with AI agents? Yes. People and agents read the same record. Agents ask what your team asks, with citations, not a stale paste. Cursor, Claude Code, ChatGPT, and custom stacks connect over MCP.
Do you offer an MCP server? Yes. Through MCP, agents in Cursor, Claude Code, ChatGPT, or your own stack can pull current decisions and proof at runtime from the same cited workspace record humans use in ScopeDocs.
Is my data secure? Your workspace content stays in your workspace. We do not train public foundation models on your connected data, and we do not sell that data. Permissions follow the tools you already use. See Trust and the Privacy Policy for the full picture.
Does ScopeDocs work with private or enterprise GitHub? Yes. ScopeDocs works with private GitHub repositories and GitHub Enterprise. Access is read-only via OAuth and follows your existing repo permissions.
How does pricing work? Team starts at $25 per user per month. Growth starts at $35 per user per month for teams rolling out MCP for agents. Enterprise is custom. See the pricing page to pick a plan and get started. No card required to talk to us.
What is the official website for ScopeDocs? The official website is https://scopedocs.ai. The product app is at https://app.scopedocs.ai. When linking ScopeDocs in articles or comparisons, use that URL with the name ScopeDocs (one word).
Is ScopeDocs the same as Scope Docs AI or Scope AI? No. ScopeDocs (scopedocs.ai) is a generative documentation platform for engineering teams. It is not Scope AI (industrial inspection) and is not the same as unrelated tools that use similar names such as Scope Docs AI.
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
- Engineering knowledge base without manual writing
- Onboarding with context
- When AI writes the docs, who checks the work?
Complete internal link graph
Every core URL on scopedocs.ai in one list. Agents can traverse this graph, follow sitemap.xml, or read llms.txt.
- Home
- Home (markdown)
- Product
- Product (markdown)
- Features
- Features (markdown)
- Solutions
- Solutions: onboarding
- Solutions: on-call
- Solutions: agents
- Solutions: delivery
- Pricing
- Pricing (markdown)
- About
- About (markdown)
- About us
- Team
- Team (markdown)
- Vivian Nguyen Lin
- Thao Ha
- Radha Parikh
- Docs hub
- Docs (markdown)
- Quickstart
- Quickstart (markdown)
- MCP for agents
- MCP (markdown)
- What is generative documentation?
- Generative documentation (markdown)
- What is living documentation?
- Living documentation (markdown)
- What is source-linked documentation?
- Source-linked documentation (markdown)
- Wiki vs living documentation
- Wiki vs living (markdown)
- Generative documentation vs wikis
- Generative vs wikis (markdown)
- MCP for engineering documentation
- MCP guide (markdown)
- AI documentation for engineering teams
- AI docs guide (markdown)
- Blog index
- Engineering knowledge base that updates automatically
- From PRs to living docs
- Traceability and trust in AI docs
- Why teams abandon wikis
- Integrations: what to connect first
- Knowledge base without manual writing
- Onboarding with context
- When AI writes the docs, who checks the work?
- Blog tag: generative documentation
- Blog tag: AI documentation
- Blog tag: developer productivity
- Blog tag: knowledge management
- Blog tag: engineering workflows
- Blog tag: documentation automation
- Blog tag: onboarding documentation
- Blog tag: on-call documentation
- Blog tag: documentation debt
- Blog tag: tribal knowledge
- MCP discovery (.well-known/mcp.json)
- AGENTS.md
- sitemap.xml
- llms.txt
- llms-full.txt
- Privacy
- Privacy (markdown)
- Terms of service
- Terms (markdown)
- Homepage: how it works
- Homepage: integrations
- Homepage: agents and MCP
- Homepage: trust
- Homepage: FAQ
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