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Stork.AIstork.ai
AI Tool

Enhance Your AI Agent's Performance

Providing Contextual Information for Superior Customer Support and Virtual Assistance.

shipped Nov 28, 2025codefreemium
codedeveloperproductivity
Ref - Context for your agent - AI tool hero image

Why it matters

1Achieve significant token savings with intelligent content filtering.
2Experience context-aware search that eliminates duplicate results within sessions.
3Access a comprehensive index covering public and private documentation for streamlined support.

Stork’s verdict on Ref - Context for your agent

Ref's extreme token efficiency is great for agents, but its two-step workflow implies a specific integration.

Ref - Context for your agent reviewed by Stork AI · stork.ai/en/ref-context-for-your-agent

overview

What is Ref?

Ref is a powerful MCP server designed to optimize your AI agent's ability to access and utilize relevant documentation effectively. It enhances both customer support and virtual assistance interactions by providing contextual insights.

features

Key Features

Ref boasts innovative features that significantly improve AI agents' research capabilities and response accuracy.

  • Extreme token efficiency—save 50-70% in token usage.
  • Multi-source documentation indexing for comprehensive access.
  • Two-step search-then-read workflow for precise information retrieval.

use cases

Ideal Use Cases

Ref is perfect for teams leveraging AI at scale, especially in dynamic environments where documentation queries are frequent and costly.

  • Customer support engines needing rapid access to FAQs.
  • Virtual assistants requiring up-to-date knowledge bases.
  • Development teams integrating AI capabilities into their workflows.

workflow

Efficient Research Workflow

Ref simplifies the process of finding relevant documentation and extracting necessary information. Using a two-step approach, agents can quickly locate pertinent content without sifting through irrelevant data.

  • Use ref_search_documentation() to identify important pages.
  • Then, utilize ref_read_url() for clean, filtered access to content.

getting started

Get Started with Ref

Signing up for Ref is easy and supports a freemium model, allowing you to dive in without upfront investment. Enhance your AI agent's proficiency today!

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