Contextual AI▌

by docs

Contextual AI bridges AI interfaces with specialized agents for RAG-powered query processing, intelligent retrieval, and

Bridges AI interfaces with Contextual AI's specialized agents to provide RAG capabilities, enabling query processing, intelligent retrieval, and context-aware responses with citations for domain-specific knowledge bases.

github stars

★ —

Website

Citation-backed responsesDomain-specialized agents

best for

/ Researchers needing cited information
/ Teams with specialized knowledge domains
/ Applications requiring accurate sourced responses

capabilities

/ Query specialized knowledge agents
/ Retrieve context-aware information
/ Generate responses with citations
/ Access domain-specific knowledge bases
/ Process intelligent search queries

what it does

Connects to Contextual AI's specialized agents to query domain-specific knowledge bases with intelligent retrieval and cited responses. Provides RAG (Retrieval Augmented Generation) capabilities for accessing curated information.

about

Contextual AI is an official MCP server published by docs that provides AI assistants with tools and capabilities via the Model Context Protocol. Contextual AI bridges AI interfaces with specialized agents for RAG-powered query processing, intelligent retrieval, and

how to install

You can install Contextual AI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Contextual AI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.