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by D-lyw • Search & Retrieval
An MCP server that provides semantic search over CKB ecosystem documentation and code using a vector database.
Perform semantic search across CKB documentation and code to answer developer questions or fetch relevant references.
Augment chatbots with precise, context-aware excerpts from CKB docs and example code during interactive support.
Index and retrieve code snippets or API docs from the CKB ecosystem for automated code assistance or documentation lookups.
This repository implements a Model Context Protocol (MCP) server that connects to a vectorized index of CKB documentation and code to provide high-quality semantic search results. It exposes an MCP tool interface (ckb_docs_search) that accepts a query and optional result limit to return relevant documents or code snippets. The project includes development and build instructions and is designed to be integrated into agent workflows that need fast, context-aware access to CKB resources. It requires Node.js and pnpm and expects an OpenAI API key in examples, but no explicit pricing or hosted service is described in the README.
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