# Semiconductor Component RAG Search

> Use this tool when you need to semantically search and answer questions about semiconductor component data stored in Excel files. It solves problems related to data discovery and querying in the semiconductor industry by providing accurate and relevant results. The tool takes in natural language queries as input and outputs relevant data from the Excel files, making it ideal for use cases where complex data analysis and insight generation are required.

Canonical page: https://skillsregistry.net/skills/chakradharkalle03-arch-mcp2  
JSON: https://api.skillsregistry.net/v1/skills/chakradharkalle03-arch-mcp2

## Description

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.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yhuajmdff2)
- **Repository:** <https://github.com/chakradharkalle03-arch/MCP2>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chakradharkalle03-arch-mcp2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chakradharkalle03-arch-mcp2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chakradharkalle03-arch-mcp2/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt