SheetsData is an MCP server with 12 tools an agent can call, among them analyze_image, check_design_fit, check_extraction_status. It answers at https://mcp.sheetsdata.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
Electronic component datasheets for AI agents: pinouts, specs, package info and design checks.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
analyze_image | Analyze an image from a component's datasheet using vision AI. Use this when read_datasheet returns a section containing images and you need to extract data from a graph, package drawing, pin diagram, or circuit schematic. Pass the image_ke Inputs: part_number, image_key, question |
check_design_fit | Validate whether a component will work within your operating conditions. Compares your design parameters against the datasheet's absolute maximum ratings and recommended operating conditions. Returns PASS/FAIL/WARNING per parameter with mar Inputs: part_number, input_voltage, output_voltage, output_current, supply_voltage, ambient_temp |
check_extraction_status | Check the extraction status of one or more parts. Free. Each entry includes the current extraction step, elapsed seconds, and document ID. Use after prefetch_datasheets or after read_datasheet triggers a new extraction. Recommended polling Inputs: part_numbers |
compare_parts | Compare 2-5 electronic components side by side in a single call. For each part, returns merged provider data (pricing, stock, structured parameters, package) plus the cached datasheet summary if one exists, plus datasheet_status ('ready', ' Inputs: part_numbers |
confirm_datasheet_upload | Confirm a datasheet upload started via request_datasheet_upload. Pass the upload_token you got back from the request step. The server downloads the uploaded bytes, re-hashes to verify integrity, validates that it's a real PDF with the MPN o Inputs: upload_token |
find_alternative | Find alternative / second-source components for a given MPN. Returns parts ranked by how closely their specs, package, and category match the reference part, with a match_score and match_notes explaining each match. When to use: - Original Inputs: part_number, constraints, limit |
get_part_details | Get full details for a specific electronic component by manufacturer part number (MPN) or LCSC number. Returns specs, pricing, and stock from all configured providers, plus the cached datasheet summary if available. Includes datasheet_statu Inputs: part_number, provider, prefetch_datasheet |
prefetch_datasheets | Trigger background datasheet extraction for multiple parts at once (up to 20). Non-blocking — returns immediately with the status of each part. Use this to warm up datasheets for a BOM before calling read_datasheet. Example: prefetch_datash Inputs: part_numbers |
read_datasheet | Read from a component's datasheet. Two modes: **Section mode** (default): Returns a named section. Start with section='summary' to get an overview and a list of available_sections. Then request specific sections by name. Section names are d Inputs: part_number, mode, section, query, limit |
request_datasheet_upload | Request a signed URL to upload a datasheet PDF for a component whose datasheet we don't have. Use this when search_parts / get_part_details / prefetch_datasheets return datasheet_status='no_source' (and a retry didn't help) or 'unsupported' Inputs: part_number, expected_sha256, size_bytes, manufacturer |
search_datasheets | Semantic search across all extracted datasheets. Finds components matching natural language queries about specifications, features, or capabilities. Best for broad spec-based discovery across all parts (e.g. 'low-noise LDO with PSRR above 7 Inputs: query, section_type, limit |
search_parts | Search for electronic components by part number, description, or keyword. Start here — this is the best entry point for finding components. Queries all configured providers in parallel. Results are merged by MPN with indicative pricing and Inputs: query, limit, providers |
Every block below points at https://mcp.sheetsdata.com/mcp. Pick your client and copy.
claude mcp add --transport http sheetsdata https://mcp.sheetsdata.com/mcp
{
"mcpServers": {
"sheetsdata": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.sheetsdata.com/mcp"]
}
}
}{
"mcpServers": {
"sheetsdata": {
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}{
"servers": {
"sheetsdata": {
"type": "http",
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}{
"context_servers": {
"sheetsdata": {
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}{
"mcpServers": {
"sheetsdata": {
"serverUrl": "https://mcp.sheetsdata.com/mcp"
}
}
}{
"mcpServers": {
"sheetsdata": {
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}name: SheetsData
version: 0.0.1
schema: v1
mcpServers:
- name: SheetsData
type: streamable-http
url: https://mcp.sheetsdata.com/mcp{
"mcpServers": {
"sheetsdata": {
"httpUrl": "https://mcp.sheetsdata.com/mcp"
}
}
}{
"mcpServers": {
"sheetsdata": {
"type": "http",
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}{
"mcpServers": {
"sheetsdata": {
"url": "https://mcp.sheetsdata.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.sheetsdata.com%2Fmcp&type=streamable_http&id=sheetsdata&name=SheetsData
It answered our last check on 22 October 2026 in 237 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
12, as returned by the server's own tools/list on 17 September 2026: analyze_image, check_design_fit, check_extraction_status, compare_parts, confirm_datasheet_upload, find_alternative, get_part_details, prefetch_datasheets, and 4 more.
It answered our last check on 22 October 2026 in 237 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.sheetsdata.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.octoco-ltd. Endpoint host: mcp.sheetsdata.com. ARD identifier: urn:air:io.github.octoco-ltd:mcp:sheetsdata-mcp.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.