Omniclip RAG
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。)
What is Omniclip RAG?
Omniclip RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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...
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。)
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Local-first RAG desktop app & official MCP Server. Let any A
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx omniclip-ragConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Omniclip RAG
OmniClip RAG is a local-first Retrieval-Augmented Generation desktop application and MCP server that indexes your private Markdown files, PDFs, and over 1,290 additional document formats using hybrid full-text search (SQLite FTS5) and vector embeddings (LanceDB with the BAAI/bge-m3 model). Once indexed, any MCP-compatible AI client can instantly search your personal knowledge base via the omniclip.search tool without uploading any documents to the cloud. Obsidian users, researchers, and knowledge workers use it to make their entire local note vault instantly queryable from within Claude or other AI clients.
Prerequisites
- Windows 10/11 (the current release ships as a Windows executable; macOS/Linux builds may be available in later releases)
- No API keys or cloud accounts required — fully local-first
- The OmniClip RAG desktop app downloaded from the GitHub Releases page
- An MCP-compatible client such as Claude Desktop, Jan.ai, or OpenClaw
Download and extract the desktop app
Go to the GitHub Releases page at github.com/msjsc001/OmniClip-RAG/releases and download OmniClipRAG-v0.4.8-win64.zip. Extract it and run the executable — no Python, Docker, or environment setup needed.
Select your vault and build the index
On first launch, select your Markdown vault root folder (e.g. your Obsidian vault). The app runs a space/time precheck, downloads the BAAI/bge-m3 embedding model once, then triggers a Full Build to index all documents.
Download the MCP server executable
From the same Releases page, download OmniClipRAG-MCP-v0.4.8-win64.zip. Extract it to a permanent location — the MCP server binary must remain at a stable path since you will reference it in your client config.
Add the MCP server to your client config
Edit claude_desktop_config.json (or your client's equivalent) to point at the extracted OmniClipRAG-MCP.exe. The server uses stdio transport and requires no arguments.
{
"mcpServers": {
"omniclip-rag": {
"command": "C:\\Apps\\OmniClip RAG\\OmniClipRAG-MCP.exe"
}
}
}Restart your MCP client and run a test search
Restart Claude Desktop (or your chosen client) and ask it to search your knowledge base. The server exposes two tools: omniclip.status (checks readiness) and omniclip.search (semantic + full-text retrieval).
Omniclip RAG Examples
Client configuration
Claude Desktop config using the OmniClipRAG-MCP.exe binary. Adjust the path to match where you extracted the MCP server zip.
{
"mcpServers": {
"omniclip-rag": {
"command": "C:\\Apps\\OmniClip RAG\\dist\\OmniClipRAG-MCP-v0.4.8\\OmniClipRAG-MCP.exe",
"args": []
}
}
}Prompts to try
Example prompts that use the omniclip.search tool to retrieve information from your local knowledge base.
- "Search my local knowledge base for notes about 'attention mechanism' and summarize what I've written"
- "Use OmniClip to find all my notes related to project planning and list the key points"
- "Search OmniClip for 'privacy architecture' and then explain the tradeoffs based on my notes"
- "Is OmniClip ready? Check its status and then search for 'machine learning'"
- "Find notes about 'Obsidian plugins' in my vault and give me a summary"Troubleshooting Omniclip RAG
omniclip.search returns no results even though notes exist
The index must be fully built before searching. Open the OmniClip RAG desktop app and check that the 'Full Build' completed successfully. If not, trigger it manually from the app's main screen. The desktop app must be running for the MCP server to access the index.
MCP server binary fails to start on Windows
Windows Defender or another antivirus may block unsigned executables. Right-click OmniClipRAG-MCP.exe, select Properties, and click 'Unblock' at the bottom of the General tab. Alternatively add the extraction folder to your antivirus exclusion list.
Embedding model download hangs or fails during first setup
The BAAI/bge-m3 model (~600MB) is downloaded from Hugging Face on first run. If you are behind a proxy or firewall, ensure outbound HTTPS to huggingface.co is allowed. The model is cached in %APPDATA%\OmniClip RAG after the first successful download.
Frequently Asked Questions about Omniclip RAG
What is Omniclip RAG?
Omniclip RAG is a Model Context Protocol (MCP) server that 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。) It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Omniclip RAG?
Follow the installation instructions on the Omniclip RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Omniclip RAG?
Omniclip RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Omniclip RAG free to use?
Yes, Omniclip RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Omniclip RAG Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to Omniclip RAG? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Omniclip RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Omniclip RAG?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.