Semiconductor Component RAG

v1.0.0Search & Data Extractionstable

Enables semantic search and question-answering over semiconductor component data stored in Excel files using ChromaDB vector database and HuggingFace language models through a RAG pipeline.

semiconductor-component-rag-searchmcpai-integration
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What is Semiconductor Component RAG?

Semiconductor Component RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search and question-answering over semiconductor component data stored in excel files using chromadb vector database and huggingface language models through a rag pipeline.

Enables semantic search and question-answering over semiconductor component data stored in Excel files using ChromaDB vector database and HuggingFace language models through a RAG pipeline.

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables semantic search and question-answering over semicond

Use Cases

Search semiconductor component databases
Question-answering over component specs
chakradharkalle03-arch

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx semiconductor-component-rag-search

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Semiconductor Component RAG

What is Semiconductor Component RAG?

Semiconductor Component RAG is a Model Context Protocol (MCP) server that enables semantic search and question-answering over semiconductor component data stored in excel files using chromadb vector database and huggingface language models through a rag pipeline. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Semiconductor Component RAG?

Follow the installation instructions on the Semiconductor Component RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Semiconductor Component RAG?

Semiconductor Component RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Semiconductor Component RAG free to use?

Yes, Semiconductor Component RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "semiconductor-component-rag-search": { "command": "npx", "args": ["-y", "semiconductor-component-rag-search"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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