Context Processor

About

The Context Processor acts as an intelligent Model Context Protocol (MCP) server designed to efficiently save, manage, and enrich textual context. It applies various pre-processing strategies, such as clarification, content analysis, search optimization, and external reference detection, to improve the quality, organization, and discoverability of information. Users can define custom context models that combine these strategies, allowing for automated and tailored processing of content to enhance its utility and discoverability within a unified system.

Key Features

• Configurable Pre-processing Strategies (Clarify, Analyze, Search, Fetch, Custom)
• Comprehensive Context Management Tools (Save, Load, List, Delete, Query models)
• Intelligent Context Storage with metadata and tags
• File-based persistence for stored contexts
• Pre-configured Context Models for tailored processing workflows
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Use Cases

• Automating the enhancement and organization of documentation (e.g., API documentation) with clarity, analysis, and search optimization.
• Applying tailored pre-processing to diverse content types using custom or predefined context models for specific needs (e.g., web content enhancement, detailed analysis).
• Managing and retrieving related information efficiently by saving content with intelligent processing and then loading it to discover relevant contexts.