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Index local Korean HWP/HWPX files for search in Codex or Claude Code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "HWP RAG MCP" yet — see the docs or source repo.
Search the indexed local HWP/HWPX files for content related to "annual leave request process" and summarize the key points in English.
Returns relevant document passages and a concise summary of the key points.
Search the indexed local HWP/HWPX contract documents for "breach liability" and list the most relevant paragraphs.
Outputs matching relevant passages so the clause can be found quickly.
Use this MCP tool to search local Korean HWP/HWPX project materials, find information related to "deployment procedure," and turn it into a step-by-step checklist.
Provides relevant source content and organizes it into an actionable step list.
When office workers or researchers need to quickly find information in local HWP/HWPX files, they can index the files first and then search or ask questions through Codex or Claude Code.
It suits users who want to keep both documents and indexes local. The tool uses a free multilingual embedding model and does not require an API key.
Developers can connect it to Codex or Claude Code so the assistant can answer questions or help organize content based on indexed Korean HWP/HWPX materials.
It indexes local Korean HWP/HWPX documents and enables Codex or Claude Code to search across them.
Based on the provided description, no API key is required. It uses a free multilingual embedding model.
The provided description says both documents and indexes stay local. For implementation details, see the source repository.
Let AI read, search, and edit HWPX documents across platforms.
Automate creating, editing, saving, and managing Hancom HWP documents and tabs.
Convert Markdown into HWPX or generate formatted HWPX from templates.
Let AI securely search private local documents with semantic and keyword retrieval.
Index local files for Claude to search and cite internal documents.
Search local Word and PDF files to answer document-based questions.