Local-first RAG desktop app & official MCP Server. Let any AI instantly search your private Markdown, PDF, and 1290+ document formats. (本地优先的 RAG 桌面端与官方 MCP 服务器。让任意 AI 瞬间检索你的私有 Markdown、PDF 及 1290+ 种文档格式。)
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"omniclip-rag": {
"args": [],
"command": "D:\\Apps\\OmniClip RAG\\dist\\OmniClipRAG-MCP-v0.4.8\\OmniClipRAG-MCP.exe",
"transport": "stdio"
}
}
}Are you the author?
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中文说明 | Changelog | Architecture | MCP Setup | Third-Party Notices | Website
This server supports HTTP transport. Be the first to test it — help the community know if it works.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
一键同步文章到多个内容平台,支持今日头条、WordPress、知乎、简书、掘金、CSDN、typecho各大平台,一次发布,多平台同步发布。解放个人生产力
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A silent gravity field between your private notes and the universe of AI.
(Supports 1290 formats since V0.3.3, and ships an MCP Registry / MCPB line since V0.4.1)
中文说明 | Changelog | Architecture | MCP Setup | Third-Party Notices | Website
[!TIP] TL;DR: MCP Quickstart
OmniClip RAG now ships a read-only local-first MCP server for searching private Markdown, PDF, and Tika-backed knowledge bases on Windows. Download
OmniClipRAG-MCP-v0.4.8-win64.zipfor manualstdiosetup oromniclip-rag-mcp-win-x64-v0.4.8.mcpbfor the official MCP Registry / MCPB path. Point your MCP client atOmniClipRAG-MCP.exe, then ask the AI to callomniclip.statusfirst andomniclip.searchfor the actual retrieval flow. Full details: MCP_SETUP.md.
What is it? It is a local Markdown semantic search software, a local RAG knowledge base, and now a read-only MCP retrieval server.
How to use it? Just open the application, input your Markdown notes path, and click "Build Knowledge Base" to set up your local RAG vault. Once built, you can use it to semantically search your notes. The retrieved content can be copied and sent to any AI for in-depth discussion, or used for your own deep reading.
What are the benefits? No need to upload any of your data, and no vendor lock-in. It requires no complex configuration or setup. Moreover, it features hot-reloading—newly written notes automatically enter the RAG vault! New notes can also be an organized collection of your historical conversations with AIs, which in turn implicitly provides a permanent memory for them.
[!NOTE] Introduction: Handing Over Our "Cyber-Underwear" in the AI Era!
OmniClip RAG uniquely achieves the impossible: You can have it all!
- We Demand: Our Markdown notes remain completely ours.
- We Also Demand: Any AI to deeply participate wi