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by ALucek • Uncategorized
An example MCP server demonstrating tools, resources, and prompts for LLM interaction with a vector database and knowledgebase chatbot.
Query vector databases for knowledge retrieval.
Incorporate user-selected resources as context.
Execute standardized prompt workflows for complex tasks.
This MCP server example provides core capabilities to enable LLMs to query a vector database for retrieval-augmented generation (RAG) responses, allow users to select resources for context, and execute standardized prompts for analytical workflows. It showcases how to build modular MCP servers that expose tools, resources, and prompts, facilitating interoperability within the MCP ecosystem. The included simple CLI client demonstrates interaction patterns with the server.