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Ref Tools
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About Ref Tools
Ref provides a unified context layer for AI coding agents by connecting them to current public documentation and privately ingested sources such as repositories and PDFs. Through the Model Context Protocol, agents can search precise sections across libraries, APIs, and services or read full webpages and files. The platform consolidates fragmented stacks of search, scraping, and indexing tools into a single interface, streamlining access to relevant documentation without manual setup or maintenance overhead. Ref is designed for teams and organizations that rely on AI agents for coding tasks and require reliable, up-to-date documentation context. It supports enterprise needs with features like SOC2 alignment, SSO, OAuth management, and automated scanning of retrieved material to prevent prompt injection while maintaining controlled, auditable access.
Key features
- Unified documentation context layer for AI coding agents
- Connects to public documentation and private sources (repositories, PDFs)
- Model Context Protocol for precise section searches across libraries and APIs
- Reads full webpages and files directly
- Replaces fragmented search, scraping, and indexing tools
- SOC2 alignment and SSO support for enterprises
- OAuth management and automated scanning for security
- Controlled, auditable access to retrieved material
- Prevents prompt injection with automated material scanning
Use cases
- Providing AI coding agents with real-time documentation context during development
- Centralizing access to internal repositories and private documentation for AI agents
- Enhancing enterprise security with SOC2-aligned documentation access for AI workflows
Pros
- Unified context layer for AI coding agents
- Supports Model Context Protocol for precise documentation retrieval
- Enterprise-grade security with SOC2 alignment and SSO
- Automated scanning to prevent prompt injection
- Consolidates fragmented search and indexing tools
Cons
- Limited public information beyond core features
- May require setup for private source ingestion
Frequently asked questions about Ref Tools
What does Ref do?
Ref provides a unified context layer for AI coding agents by connecting them to public and private documentation sources, enabling precise retrieval of relevant information through the Model Context Protocol.
Who is Ref designed for?
Ref is designed for teams and organizations that rely on AI agents for coding tasks and require reliable, up-to-date documentation context without manual setup or maintenance overhead.
How does Ref handle security?
Ref supports enterprise-grade security features such as SOC2 alignment, SSO, OAuth management, and automated scanning to prevent prompt injection while maintaining controlled, auditable access.
Can Ref integrate with private documentation sources?
Yes, Ref allows private sources such as repositories and PDFs to be ingested, enabling agents to search across both public and private documentation.
Does Ref require manual setup for documentation retrieval?
No, Ref streamlines access to relevant documentation without manual setup or maintenance overhead, consolidating fragmented search and indexing tools into a single interface.
