Calypso Multimodal RAG MCP Server

What is Calypso Multimodal RAG?

Calypso Multimodal RAG is an MCP server that brings multimodal Retrieval-Augmented Generation (RAG) to AI tools and workflows, providing a grounded answer layer for websites, AI agents, support copilots, internal knowledge assistants, and product experiences. It retrieves from actual source materials—PDFs, docs, screenshots, diagrams, charts, help content, and structured knowledge—to ensure answers remain source-backed, explainable, and production-ready.

How to use Calypso Multimodal RAG?

After configuring the Calypso MCP server in your MCP client (e.g., Claude Desktop), you can invoke three tools: calypso-rag-agent to query the RAG agent for grounded answers, calypso-upload-agent-file to upload a file into the agent store, and calypso-upload-knowledge-file to upload a file into the durable knowledge store.

Key features of Calypso Multimodal RAG

• Grounded answers with retrieval-backed responses, not generic model output.
• Multimodal RAG support across PDFs, docs, screenshots, diagrams, and images.
• Built for AI agents and real product surfaces such as website chat and support.
• Two separate upload stores: agent store for retrieval-backed RAG and knowledge store for durable indexing.
• RAG-first file semantics via rag_policy on agent file attachments.

Use cases of Calypso Multimodal RAG

• AI support assistants that answer from company documentation and knowledge bases.
• Sales enablement copilots with grounded product information.
• Internal knowledge agents retrieving from internal files and diagrams.
• Website answer widgets offering searchable, citation-backed responses.