Skip to main content
Glama

SheetsData

by io.github.octoco-ltd
OverviewDiscussionsAdmin

Search Datasheets

search_datasheets
Read-onlyIdempotent

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 70dB'). Only searches datasheets that have been previously extracted — not all parts that exist. For finding specific parts by number, use search_parts instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 3)
queryYesNatural language search query
section_typeNoOptional: limit search to a specific section typeall

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / limit / default
      Previous value: -15New value: +3
    • changedInput schema / properties / limit / description
      Previous value: -"Max results (default 15)"New value: +"Max results (default 3)"
  2. Changed2 schema fields changed
    • changedInput schema / properties / limit / default
      Previous value: -10New value: +15
    • changedInput schema / properties / limit / description
      Previous value: -"Max results (default 10)"New value: +"Max results (default 15)"
  3. First observed

TDQS

Score is being calculated.

All SheetsData toolsInspect
Try in Browser
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources