# io.github.octoco-ltd/sheetsdata-mcp

> Use this tool when you need to access electronic component datasheets for AI-driven applications, providing specs, pinouts, and package data on demand to inform design decisions and resolve component-related queries. It solves problems related to component selection, compatibility, and integration by offering a comprehensive dataset for various electronic components. This tool is ideal for use cases where accurate and up-to-date component information is crucial, such as electronics design, prototyping, and manufacturing.

Canonical page: https://skillsregistry.net/skills/io-github-octoco-ltd-sheetsdata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-octoco-ltd-sheetsdata-mcp

## Description

Electronic component datasheets for AI agents — specs, pinouts, package data on demand.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.octoco-ltd%2Fsheetsdata-mcp)
- **Repository:** <https://github.com/octoco-ltd/sheetsdata-mcp>

## Use it

MCP endpoint published by the skill: `https://mcp.sheetsdata.com/mcp`

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": "io-github-octoco-ltd-sheetsdata-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-octoco-ltd-sheetsdata-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-octoco-ltd-sheetsdata-mcp/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