ScopeDocs product: the context base for engineering teams

How ScopeDocs works

Three steps. No second wiki to maintain by hand.

1. Connect — Link the tools your team already uses with read-only OAuth.
2. Stamp — Decisions become a durable, cited record. Humans approve what agents may trust.
3. Ask — People search and chat in ScopeDocs; agents pull the same answers over MCP.

Step-by-step setup: quickstart. Definitions: generative documentation, living documentation, source-linked documentation.

Connect: tools you already use

Link GitHub, Linear, Slack, Notion, Jira, Google Drive, Fathom, Datadog, Confluence, Microsoft Teams, monday.com, Supabase Database, and related systems with read-only OAuth. Setup is measured in minutes, not a migration project. You control which integrations are enabled and can disconnect them anytime.

Stamp: decisions with proof

Decisions become a durable, cited record. Every claim points back to a PR, Slack thread, ticket, or doc so answers stay honest as the project changes. If the source is not there, ScopeDocs does not invent it. Humans approve, edit, or reject drafts before agents treat knowledge as settled.

Why that matters: how traceability improves trust in AI-generated documentation and when AI writes the docs, who checks the work.

Ask: people and agents

Search and chat over project knowledge inside ScopeDocs. Agents reach the same cited decisions for Cursor, Claude Code, ChatGPT, and ScopeDocs via MCP. Permissions mirror your workspace so agents only see what your team can already see.

ScopeDocs vs a traditional wiki

Deeper comparison: wiki vs living documentation and generative documentation vs wikis. Research: why teams abandon wikis.

What you connect

• Code and reviews: GitHub pull requests and repository context
• 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

Practical sequencing: documentation integrations: what to connect first.

Built for agents over MCP

The same governed record your team reads is available to agents. Workspace MCP host pattern (shown in-product):

yourcompany.mcp.scopedocs.ai

Agent discovery: /.well-known/mcp.json. Docs: MCP for agents · mcp.md. Guide: MCP for engineering documentation. Homepage: agents section.

Trust and permissions

• Read-only OAuth access to connected tools
• Does not train public foundation models on connected workspace data
• 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 homepage FAQ.

Who it is for

• Faster engineering onboarding with sources attached
• On-call and incident context that has not drifted
• Delivery and product handoffs that keep the why
• Agent-ready project knowledge over MCP

Rollout guide: AI documentation for engineering teams.

Product FAQ

What problem does ScopeDocs solve?

Engineering knowledge gets trapped in Slack, tickets, and stale wikis. ScopeDocs turns that work into living, source-linked documentation people can trust and agents can query over MCP—without maintaining a second system of record by hand.

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 GitHub, Linear, Slack, and related tools, then keeps citations attached so the record stays verifiable as projects change.

Can agents use the same knowledge as humans?

Yes. People ask inside ScopeDocs; agents pull the same cited decisions over MCP for Cursor, Claude Code, ChatGPT, and custom stacks.

Is access write-capable by default?

No. Integrations use read-only OAuth (or credentials you supply). You choose what to connect.

How do we get started?

Follow the quickstart, pick a plan on pricing (Team from $25/user/month), or email hello@scopedocs.ai. No credit card required to talk to us.

Explore more