Context

About

Context is a self-hosted server designed to transform your documentation into a searchable knowledge base accessible by AI assistants. It works by parsing content from diverse sources like MDX, Markdown, and OpenAPI specifications, then semantically chunking and embedding it using OpenAI. This processed information is stored in a Pinecone vector database, enabling AI assistants to query and retrieve relevant context efficiently through the Model Context Protocol (MCP) and a REST API.

Key Features

• 2 GitHub stars
• Serves content via MCP and REST API
• Stores vectorized data in Pinecone vector database
• Utilizes OpenAI for content embeddings
• Indexes documentation from multiple sources (MDX, Markdown, OpenAPI)
• Self-hosted Model Context Protocol (MCP) server

Use Cases

• Building searchable knowledge bases for AI assistants
• Providing AI with context from documentation platforms like Mintlify, Fumadocs, and Docusaurus
• Enabling AI assistants to query API reference specifications (OpenAPI/Swagger)