Context

About

The Context server acts as a crucial integration surface for AI agents, providing robust context resolution capabilities through the Model Context Protocol. It communicates via JSON-RPC 2.0 over standard I/O, allowing agents to query and retrieve relevant contextual information from predefined caches. This server enables agents to resolve context based on queries and token budgets, inspect cache metadata, and list available caches, making it an essential component for agents requiring dynamic and relevant context access within the Context platform.

Key Features

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• Resolve context from caches using a query and token budget
• List available context caches under the server's root directory
• Inspect cache metadata and validity for proper management
• Utilizes JSON-RPC 2.0 over stdio for seamless agent integration
• Configurable via environment variables for deployment flexibility

Use Cases

• Providing contextual awareness to AI agents for enhanced decision-making and interaction
• Integrating with agent frameworks or MCP clients such as Claude Desktop
• Managing and serving structured context data to large language models (LLMs) and other AI systems