SheetsData
by @octoco-ltd · io.github.octoco-ltd/sheetsdata-mcp
Electronic component datasheets for AI agents: pinouts, specs, package info and design checks.
- Category
- Images, video and audio
- Connection
- Remote (HTTP)
- Tools
- 14 reported
- Status
- Online
Connect it to your AI
Claude Code
claude mcp add --transport http sheetsdata-mcp https://mcp.sheetsdata.com/mcpClaude, ChatGPT, Cursor and other apps
Add it as a custom connector with this URL (Streamable HTTP):
https://mcp.sheetsdata.com/mcpOr run it locally (npm)
claude mcp add sheetsdata-mcp -- npx -y @sheetsdata/mcp@1.4.0Cursor, VS Code and other apps (mcp.json)
{
"mcpServers": {
"sheetsdata-mcp": {
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}Tools it offers
14 tools, as the server itself reported during our check on Oct 31, 2026.
find_partsFree. Find candidates by function and numeric specs with units, package or stock. Example: query='buck converter', constraints=[{parameter:'vin_max',op:'>=',value:'24 V'}, {parameter:'iout',op:'>=',value:'2 A'}]. Also accheck_bomCosts 2¢ per call. Check up to 50 BOM lines for lifecycle, stock against quantity, observed single-distributor sourcing, datasheet status and stale/missing prices. Accepts MPNs or LCSC numbers; duplicate MPN quantities asearch_partsFree. Start here. Searches components by part number or keyword (e.g. 'STM32F103', 'buck converter 3A') across JLCPCB, Mouser and DigiKey in parallel. Results are merged by MPN with indicative price and stock per sourcesearch_datasheetsCosts 2¢ per call. Semantic search across every datasheet already extracted (not every part that exists), for spec-based discovery such as 'low-noise LDO with PSRR above 70dB'. Returns matching chunks with part_number anprefetch_datasheetsFree. Starts background extraction for up to 20 parts at once, e.g. a BOM, so they are ready before you read them. Returns immediately with each part's status. A new datasheet takes about 2.5 minutes at the median and 6.check_extraction_statusFree. Extraction status of 1-20 parts. A part being read reports current_step, elapsed_seconds, estimated_remaining_seconds with a range, and poll_after_seconds; a failed one reports its error; a part that isn't ready maget_part_detailsFree. Full details for one part: provider specs, price, stock and lifecycle, the per-MPN structured values (specialized_specs), the cached datasheet summary, and datasheet_status with available_sections when ready. Knownread_datasheetCosts 2¢ per call. Reads a part's datasheet. Section mode (default): start with section='summary' for an overview and available_sections, then ask for any section by name; names come from the datasheet's own headings (e.compare_partsCosts 2¢ per call. Compares 2-5 parts you already know side by side in one call (find candidates with search_parts or find_alternative first). Returns each part's details (per-provider specs, price breaks and links, thecheck_design_fitCosts 5¢ per call. Checks your operating conditions against the part's absolute maximum ratings and recommended operating conditions; returns PASS / WARNING / FAIL / INSUFFICIENT_DATA per condition and overall. Conditionanalyze_imageCosts 5¢ per call. Reads a datasheet image with vision AI: a graph, package drawing, pin diagram or schematic that read_datasheet returned. Pass the image_key from that response (the storage path in the image URL), optiofind_alternativeCosts 2¢ per call. Finds alternative and second-source parts for an MPN that is out of stock, end of life or too expensive, ranked by match_score with match_notes. Candidates come from provider search and from parts withrequest_datasheet_uploadFree. The upload fee is charged by confirm_datasheet_upload, after the file is checked. Gives a signed URL to upload a datasheet PDF we don't have: use it when datasheet_status is 'no_source' (once the search has finisheconfirm_datasheet_uploadCosts 10¢ per call. That is the upload fee, charged only when the file passes its checks. Confirms an upload started with request_datasheet_upload: pass its upload_token. The server re-hashes the uploaded bytes, checks i
Questions
What is the SheetsData MCP server?
Electronic component datasheets for AI agents: pinouts, specs, package info and design checks. It is made by @octoco-ltd and listed in the official MCP Registry as io.github.octoco-ltd/sheetsdata-mcp. MCP (Model Context Protocol) is the open standard that lets AI apps like Claude, ChatGPT and Cursor use outside tools.
How do I add SheetsData to Claude?
In the Claude app or claude.ai, open Settings, then Connectors, choose "Add custom connector" and paste https://mcp.sheetsdata.com/mcp. In Claude Code, run: claude mcp add --transport http sheetsdata-mcp https://mcp.sheetsdata.com/mcp
How do I add SheetsData to ChatGPT?
ChatGPT can use remote MCP servers as connectors. In ChatGPT settings, under Apps and Connectors, turn on developer mode if asked, create a new connector and paste https://mcp.sheetsdata.com/mcp.
How do I add SheetsData to Cursor?
Open Cursor settings, go to MCP, choose "Add new MCP server" (or edit ~/.cursor/mcp.json) and add: { "mcpServers": { "sheetsdata-mcp": { "url": "https://mcp.sheetsdata.com/mcp" } } }
Does SheetsData work right now?
Yes. It responded when we last checked on 31 Oct 2026. We check remote MCP servers every day.
What can SheetsData do?
It gives your AI 14 tools, including find_parts, check_bom, search_parts, search_datasheets, prefetch_datasheets. The full list is on this page.
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Markdown (GitHub README)
[](https://chen.media/mcp/github-octoco-ltd-sheetsdata-mcp)HTML (switches to dark mode on its own)
<a href="https://chen.media/mcp/github-octoco-ltd-sheetsdata-mcp"><picture><source media="(prefers-color-scheme: dark)" srcset="https://chen.media/mcp/badge/github-octoco-ltd-sheetsdata-mcp.svg?theme=dark"><img src="https://chen.media/mcp/badge/github-octoco-ltd-sheetsdata-mcp.svg" alt="Listed on chen.media/mcp" height="40"></picture></a>More in Images, video and audio
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