Embedding Storage
Enables storing and retrieving information using vector embeddings with semantic search capabilities. Integrates with the AI Embeddings API to automatically generate embeddings for content and perform similarity-based searches through natural languag
What is Embedding Storage?
Embedding Storage is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables storing and retrieving information using vector embeddings with semantic search capabilities. integrates with the ai embeddings api to automatically generate embeddings for content and perform...
Enables storing and retrieving information using vector embeddings with semantic search capabilities. Integrates with the AI Embeddings API to automatically generate embeddings for content and perform similarity-based searches through natural languag
This server falls under the Databases category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables storing and retrieving information using vector embe
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-embedding-storage-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Embedding Storage
What is Embedding Storage?
Embedding Storage is a Model Context Protocol (MCP) server that enables storing and retrieving information using vector embeddings with semantic search capabilities. integrates with the ai embeddings api to automatically generate embeddings for content and perform similarity-based searches through natural languag It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Embedding Storage?
Follow the installation instructions on the Embedding Storage GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Embedding Storage?
Embedding Storage works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Embedding Storage free to use?
Yes, Embedding Storage is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Databases MCP Servers
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Set Up Embedding Storage 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
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