# SheetsData

> Use this tool when you need to instantly access electronic component datasheets, specs, and pricing information to streamline your design and development process. SheetsData solves problems related to component selection, datasheet parsing, and design validation by providing structured data and real-time pricing and stock levels. It accepts manufacturer part numbers (MPNs) as input and returns detailed specifications, pin configurations, and more, making it ideal for use cases such as finding components, comparing parts, and validating designs.

Canonical page: https://skillsregistry.net/skills/sheetsdata-sheetsdata  
JSON: https://api.skillsregistry.net/v1/skills/sheetsdata-sheetsdata

## Description

Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from
   manufacturer PDFs. No uploads needed.

SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can
  look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just
   pass a manufacturer part number (MPN) and get back structured electrical characteristics, pin
  configurations, absolute maximum ratings, and more.

  ## What you can do

  - **Find components** — Search across JLCPCB, Mouser, and DigiKey by part number or keyword, with real-time
   pricing and stock levels
  - **Read datasheets** — Access any section of a datasheet as structured text: pinout tables, electrical
  specs, register maps, timing diagrams, application circuits
  - **Compare parts** — Side-by-side comparison of up to 5 components with specs, pricing, and availability
  from multiple distributors
  - **Validate designs** — Check if a component will work within your operating conditions (voltage, current,
   temperature) against its absolute maximum ratings
  - **Find alternatives** — Discover substitute components with similar specs, same package, or compatible
  pinout when a part is unavailable or too expensive
  - **Analyze images** — Extract data from datasheet graphs, package drawings, and pin diagrams using vision
  AI

  ## Tools

  | Tool | Cost | Description |
  |------|------|-------------|
  | `search_parts` | Free | Search components by part number or keyword across JLCPCB, Mouser, and DigiKey |
  | `search_datasheets` | Free | Semantic search across extracted datasheets (e.g. "low-noise LDO with PSRR
  above 70dB") |
  | `prefetch_datasheets` | Free | Batch warm-up extraction for up to 20 parts (fire-and-forget) |
  | `check_extraction_status` | Free | Poll extraction progress after prefetch or read_datasheet |
  | `get_part_details` | 4¢ | Full specs, pricing, stock, and datasheet summary for a specific MPN |
  | `read_datasheet` | 6¢ | Read datasheet sections or semantic search within a datasheet |
  | `compare_parts` | 10¢ | Side-by-side comparison of 2–5 components |
  | `check_design_fit` | 10¢ | Validate operating conditions against datasheet limits |
  | `analyze_image` | 8¢ | Extract data from datasheet graphs, package drawings, and pin diagrams |
  | `find_alternative` | 10¢ | Find substitute components with similar specs or compatible pinout |

  ## Recommended workflow

  1. `search_parts` to find candidates by keyword or part number
  2. `get_part_details` or `compare_parts` to evaluate options
  3. `read_datasheet` for detailed specs — start with `section='summary'` to get an overview and discover
  available sections, then fetch specific sections as needed
  4. `check_design_fit` to validate against your design constraints
  5. `read_datasheet` with `mode='search'` for any remaining questions about a specific part
  6. `analyze_image` when you need data from a graph, package drawing, or pin diagram

  ## Tips

  - Use manufacturer part numbers (MPNs) like `TPS54302` or LCSC numbers like `C2837938` — bare values like
  "100nF" or "10K" are not part numbers
  - `search_datasheets` is best for broad spec-based discovery (e.g. "LDO with dropout below 200mV and
  quiescent current under 1uA")
  - `search_parts` is best for finding a specific part or browsing a category with pricing and stock
  - First extraction for a new part takes 10–20s as the PDF is downloaded and processed; subsequent calls are
   cached
  - Use `prefetch_datasheets` to warm up a batch of parts (e.g. from a BOM) before reading them individually
  - Prefer requesting specific sections from `read_datasheet` rather than reading everything at once to keep
  responses focused

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sheetsdata/sheetsdata)

## 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": "sheetsdata-sheetsdata"
    }
  }
}
```

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

---
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
