"Files" matching MCP servers:

Generates formatted Excel (.xlsx) files from user requests and deposits them into Cleyrop project data.

Creates compact skeleton representations of large JSON files by preserving structure while truncating string values and deduplicating arrays, helping users understand JSON structure without processing the full data payload.

Turns a folder of CSV, Parquet, and JSON files into a single SQL-queryable source for AI agents, supporting JOINs across files with read-only sandboxed access.

A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.

An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Enables Claude to analyze local CSV or Parquet files, handling larger datasets without uploading full files.

Provides efficient handling of large Excel files through automatic chunking and pagination, using MCP to enable seamless file reading and management features such as sheet selection and error handling.

A Model Context Protocol server that enables working with Building Information Modeling (BIM) files by converting IFC files to fragment format and querying BIM data by category.

Converts PDF, Word, PowerPoint, Excel, and HTML documents into Markdown, handling files up to 8 MB in a single call and routing larger or scanned files through an OCR and table-detection queue that returns Markdown plus a JSON structure file. Results arrive either by polling or a signed webhook.

Enables Claude to search, retrieve, and analyze indexed files with sensitivity classifications and automatic redaction of sensitive information.

This read-only MCP Server allows you to connect to CSV Files data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for CSV Files (https://www.cdata.com/drivers/csv/download/mcp).

Enables reading, summarizing, searching, validating, and surgically editing Pentaho Kettle .kjb/.ktr files without requiring a PDI installation or executing them, using an embedded knowledge base.

Parse crypto exchange CSVs (Coinbase, Binance, Kraken, +11 more) and bank statement PDFs (Chase, BofA, +11 more) into Koinly, TurboTax, CoinLedger, or ZenLedger formats. Free tier: 25 files/month, no credit card required.

Enables AI agents to query Excel, CSV, Parquet, and NDJSON files as SQL tables, joining data across formats and sheets and exporting results to CSV or Excel.

Generating Tableau Prep data flow (.tfl) files

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables agents to find duplicate customers and contacts in CSV files by comparing emails, phone numbers, names, and companies, returning confidence levels and the evidence behind each match. It also inspects CSV files to reveal detected columns and row counts without exposing row contents.

Enables importing and reconciling Mexican bank statement PDFs and files into an auditable SQLite ledger, with tools to preview, review, and commit transactions via Claude.

Enables users and AI agents to reconcile CSV bank statements against invoices or bills by matching amounts and references, then sorting each line into matched, likely, review, or unmatched groups with reasons. It exposes read-only tools for matching files and inspecting detected CSV columns and row counts.