The right plan for your team.
ScopeDocs pricing is quoted for each team. There are no published list prices. A quote depends on how many people use ScopeDocs, which tools you connect, and whether agents use it over MCP. To get pricing, talk to our team or email vivian@scopedocs.ai. No credit card is required to talk to us. Markdown twin: pricing.md. Compare: product, features, solutions, quickstart, and the homepage.
Discover the rest of ScopeDocs
Official twin: pricing.md. Site indexes: sitemap.xml · sitemap.md · llms.txt · llms-full.txt · blog RSS · AGENTS.md · MCP discovery. Product app: app.scopedocs.ai.
Paths from this page
- Product overview · product.md · Features · features.md
- Onboarding · Incidents · Agents · Delivery
- Docs hub · Quickstart · quickstart.md · AI agents over MCP
- How it works · Integrations · Agents section · Trust · FAQ
- Vivian Nguyen Lin · Thao Ha · Radha Parikh
- privacy.md · terms-of-service.md · about.md · team.md
More from the blog
- Architecture docs that reflect your codebase
- On-call docs vs onboarding docs
- Keep runbooks and ADRs in sync
- Capture ADRs from GitHub PRs
- Link Linear ticket context to documentation
- Keep docs current across GitHub, Slack, and Linear
- Documentation debt draining engineers
- Where tribal knowledge lives
- Generative docs reduce documentation debt
- Source-linked documentation vs wikis
- When to use generative docs vs wikis
- When docs and product disagree
- When Confluence and GitHub disagree
- When the auditor asks and the wiki lies
- Scale engineering documentation
- Traceability in technical documentation
- PRs to living docs workflow
- RAG and source linking accuracy
- Onboarding docs that stay current
- CRM implementation handoff checklist
How pricing works
- Tell us about your team. Who would use ScopeDocs, which client engagements it covers, and the tools you want connected.
- See it on your stack. A walkthrough using your own sources.
- Get pricing that fits. We send a quote sized to your team and rollout. No credit card needed to start.
What goes into a quote
- People on your team who use ScopeDocs
- Tools you connect, from Slack and GitHub to Jira, Notion, and call notes
- Agent access over MCP for Cursor, Claude Code, Codex, and ChatGPT (how agents connect)
- Security review, procurement, and contract terms
- Support implementation across teams and customer projects
What you're paying for with ScopeDocs
Stop paying engineers to reconstruct context. ScopeDocs connects the tools your engineering team already uses and continuously builds an AI-searchable knowledge layer: living documentation, project context, decision history, and code knowledge.
One knowledge layer across your engineering stack
Connect: GitHub · GitLab · Slack · Google Chat · Jira · Linear · Confluence · Google Drive · Notion · Fathom
ScopeDocs continuously builds: Living documentation · Project context · Decision history · Code knowledge
Your team can: Search with citations · Ask with sources · Onboard faster · Feed agents over MCP
Capabilities
Documentation
Keep project docs aligned with work happening in your repositories, tickets, and chats.
Decisions
Find the reasoning behind past decisions across Slack, tickets, and docs — with sources attached.
Project context
Give engineers and AI agents a shared, up-to-date understanding of the codebase and project.
AI-ready knowledge
Ask across your engineering stack and trace answers back to the originating PR, thread, or ticket.
| Your team needs to... | Without ScopeDocs | With ScopeDocs |
|---|---|---|
| Keep documentation current | Engineers manually update docs | Docs stay connected to your code and work |
| Understand why decisions were made | Search Slack, tickets, and old threads | Ask AI and trace answers back to sources |
| Onboard new engineers | Rely on tribal knowledge | Give new teammates up-to-date project context |
| Understand the codebase | Read code and piece together context | AI understands your repos, docs, tickets, and conversations |
| Build an internal knowledge system | Months of engineering effort | Connect your existing tools and start with ScopeDocs |
Before you start
How much does ScopeDocs cost?
Pricing is quoted for each team. It depends on how many people use ScopeDocs, which tools you connect, and whether agents use it over MCP. Talk to our team or request pricing and we’ll send a quote that fits.
Why don’t you list prices?
Teams use ScopeDocs very differently. One delivery pod on Slack and Jira looks nothing like a consultancy rolling it out across every engagement with agents connected. Quoting with you means you pay for the setup you need.
What happens after I ask for pricing?
A short form asks for your name and work email, or you can book a call right away. We walk through your stack and follow up with pricing.
Do we need a credit card to get started?
No. You can talk to us, see ScopeDocs on your own tools, and get a quote without a card.
Can we start small and expand later?
Yes. Plenty of teams begin with one workspace and a first set of tools, then add people, sources, and agents as more teams come online.
Do you support security reviews and procurement?
Yes. Larger rollouts often need security reviews, custom integrations, or specific contract terms. We work through those with you as part of the quote.
Is our data safe?
Integrations use read-only access. We don’t train public foundation models on your connected workspace data, and we don’t sell that data. Permissions follow the tools you already use.
Compare ScopeDocs to alternatives
ScopeDocs is living, source-linked documentation with MCP for agents, not a hand-maintained wiki or a generic chatbot over a document dump. See what is generative documentation, wiki vs living documentation, generative documentation vs wikis, and the product overview.
Next steps
Talk to our team or request pricing on this page, explore the product overview, or email vivian@scopedocs.ai. No credit card required.
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?
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 (contact us) · About · Team
- Docs hub · Quickstart (markdown) · AI agents over MCP
- 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 · vivian@scopedocs.ai
Site directory
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 |
| 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 |
| AI agents over MCP | /product#ai-agents |
| 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