MCP Integration

MCP Commands and Functions

The awRAG MCP server provides these commands that AI models can use to interact with your documents. You can reference these when working with any MCP-compatible AI:

Example 1: Topic-based Search

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"Search my documents about machine learning optimization techniques"

Claude will search across all your documents for content related to ML optimization, returning the most relevant passages with source citations.

Example 2: Project-specific Query

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"Find research papers related to neural networks in my AI Research project"

Narrows the search to documents within a specific project, useful when you have documents organized by topic or research area.

Example 3: Analytical Question

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"What do my uploaded documents say about climate change mitigation strategies?"

Claude will search your documents and synthesize findings, providing a comprehensive answer based on multiple sources from your knowledge base.

Example 4: Comparative Analysis

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"Compare what my documents say about transformer architectures versus traditional RNNs"

Claude can perform comparative analysis across your documents, identifying key differences and similarities between concepts.