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.

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?

Pricing fits team size, sources, and agent use. Request a quote on the pricing page or book a demo and we will match you with the right plan. There is no public fixed dollar price list because every workspace footprint differs.

How is source-linked documentation different from a wiki?

A wiki is usually hand-maintained prose that can drift from the system. Source-linked documentation is generated or updated from work already happening in tools, and keeps citations attached so answers stay verifiable as code and decisions change.

What is source-linked documentation?

Last updated August 2026

Source-linked documentation is technical documentation where every material claim points back to a verifiable originating source, such as a pull request, ticket, Slack thread, design doc, or call note, so readers and AI agents can check the evidence.

Why it matters for engineering teams

Hand-written wikis fall out of date because upkeep never keeps pace with a moving codebase. When docs drift, onboarding slows, on-call answers get risky, and AI tools that summarize stale pages amplify the problem. Source-linking makes generated documentation trustworthy enough to use in production workflows.

Core characteristics

Citations are first-class: claims link to PRs, tickets, threads, or files
Updated from work: docs track merges, closed tickets, and decisions in chat
Human confirmation: teams approve what agents should treat as settled
Agent-ready: the same cited record can be queried over MCP

How source-linked documentation works

Connect tools: index systems where work already happens (for example GitHub, Linear, Slack)
Stamp decisions: capture claims with who decided and where it came from
Ask with proof: people and agents retrieve answers that open the original sources

FAQ

Is source-linked documentation the same as RAG?

Related, but not identical. RAG retrieves chunks for an answer. Source-linked documentation also requires that published claims remain attached to checkable origins.

Who is it for?

Engineering and product teams that need current context for onboarding, on-call, delivery handoffs, and AI coding agents.