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Redis Context Retriever

API service

by Redis

A schema-first context layer that turns a modelled set of business entities, fields and relationships into generated retrieval tools agents call over MCP, so agents read live operational data through governed, row-filtered lookups rather than writing SQL.

Find alternatives to Redis Context Retriever

What it does

• Agent orchestration

Features 6

• MCP and CLI supportAgent-native interfaces: MCP to connect to tools and a CLI for execution and automation.
• Schema-first semantic layerModel entities, fields and relationships so agents understand how business data connects.
• Generated MCP toolsTurns data schemas into governed tools agents can call at runtime.
• Entity navigationHelps agents move across customers, orders, tickets, claims and transactions.
• Controlled data accessExposes approved context paths through tools rather than raw database access.
• Runtime retrievalRetrieves live operational context during each agent step.

Sources

Pricing

Not found · 10 Oct 2026

The page offers "Try Context Retriever free" and "Talk to sales" with no rate; redis.io/pricing/ does not name it.

Description

Official documentation · 10 Oct 2026

"Redis Context Retriever is a schema-first context layer for AI agents"; it "Auto-generates retrieval tools" and "Exposes tools via MCP"; "Agents never access your database directly."

What it does

Official documentation · 10 Oct 2026

Sold within

Not found · 10 Oct 2026

One of the five tools "Iris is composed of"; on Redis Cloud it needs "a database on Redis Cloud that already has relevant data". No page read says how it is billed. Read: the Context Retriever page and docs, the Iris docs and redis.io/pricing/.

Name

Official documentation · 10 Oct 2026

"Make real-time data navigable for production AI agents."

URL

Official documentation · 10 Oct 2026

Deployment

Official documentation · 10 Oct 2026

"Available fully managed on Redis Cloud or self-managed on your own infrastructure".

Modalities

Official documentation · 12 Oct 2026

Page: 'you need a database on Redis Cloud that already has relevant data / the agent follows the defined entity paths and gets back structured, live, operational context'.

Also from Redis

• Redis Search API service

  Vector search and hybrid (vector + exact-match) query engine built into Redis, marketed as "the world's fastest vector database" for GenAI apps and RAG pipelines at billions-of-vectors scale.

• Redis Iris Infrastructure service

  Redis's context engine for AI agents, bundling Context Retriever, Agent Memory, LangCache, Data Integration and Redis Search into one runtime that keeps agents supplied with live business data, memory and cached answers, managed on Redis Cloud or self-managed on Kubernetes.

• Redis LangCache API service

  A semantic cache for LLM calls: before an app calls its model, LangCache embeds the prompt, looks for a semantically similar prompt already answered and returns the stored response, with configurable similarity thresholds, TTLs and eviction, through a REST API.

• Redis Agent Memory API service

  A memory service for AI agents that keeps each conversation as ordered session events with automatic summarisation, extracts durable facts into long-term memory in the background, and retrieves them across sessions by semantic, keyword or hybrid search.

• Redis Copilot Developer tool

  An AI assistant in Redis Insight and the Redis docs that answers questions about Redis commands and concepts and, connected to a user's own database, turns plain-language requests into Redis search queries over that data.

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