"Spreadsheets" matching MCP servers:

Pulls enterprise counts by NACE Rev.2 activity and size class from Eurostat and buckets them into SME and 250+ categories for the DTM TAM model, with tools to fill TAM spreadsheets directly.

Enables AI assistants to create and edit Office documents, presentations, and spreadsheets, as well as generate diagrams, charts, citations, and research project structures.

Provides MCP tools for fetching timestamped YouTube transcripts and top comments, scanning spreadsheets for video links, and a local web UI for grounded video summaries.

Reads Excel files and returns each sheet's content as CSV text. Enables AI models to extract data from Excel spreadsheets via natural language.

Enables AI agents to reverse-engineer how an organization actually operates by ingesting documents, spreadsheets, chat exports, invoices and audio, then tracing every claim back to graded evidence. It supports process mining, stated-vs-enacted comparison, coverage and obligation tracking, and bilingual report generation while keeping unproven areas explicitly flagged as unknown.

Enables an AI agent to research industries and companies, track job postings and deadlines from recruiting sites and spreadsheets, match roles against a personal profile, manage application stages, and fill in application forms up to but not including submission. All data stays in a local folder on the user's machine, with reversible actions and confirmation cards for consequential steps.

Read and filter Excel, CSV, ODS, SQLite, Parquet and MTSV files — or a folder — as plain text