"Tools and methods to automate Excel reports" matching MCP servers:

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

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.

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.

A personal AI assistant server that provides MCP tools for notes, files, reminders, memory, shell, browser, and 30+ SaaS integrations, enabling AI clients to access and manage your data across sessions.

Enables publishing content to multiple social media platforms (YouTube, Twitter, Facebook, Instagram, TikTok, Reddit, Blog) through automation agents, with task management and system validation.

Pulls golf data from Arccos, GHIN, and 18Birdies, and generates interactive HTML and PDF round reports with shot maps and stats via local MCP tools.

The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.

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

Enables searching and retrieving Congressional Research Service reports by subject, topic, author, and date, with full report text, recent updates, and CRS's own taxonomy, including citations and license status on each response.

Enables interaction with Microsoft Power Automate cloud flows via Azure CLI, allowing management of flows, triggers, runs, and connections.

Enables AI assistants to read and write local Excel and CSV files, supporting editing, styling, and image insertion.

Lets an AI agent list reports, start and poll exports, and look up insurance claims from a legacy system that has no API, with each server process serving only the tools and report types its role permits. Every tool call is written to an append-only, field-masked audit log, and the backend's login credentials stay in an encrypted vault the model never sees.

Enables management of penetration testing reports and vulnerabilities through a REST API, supporting CVSS 3.1 scoring, HTML formatting, and secure JWT authentication for comprehensive security assessment documentation.

Enables AI clients to read, write, and manage Excel workbooks (.xlsx/.xlsm) directly via openpyxl, with comprehensive tools for data, formatting, formulas, charts, and more.

Local-first MCP server and Chromium extension for AI-assisted Microsoft Power Automate work, enabling users to inspect, validate, edit, run, review, and revert cloud flows using a browser session.

Enables searching, retrieving, and exploring World Bank documents and reports through natural language queries with advanced filtering options.

Enables AI assistants to edit Power Automate cloud flows live, including reading/writing flow definitions, managing connectors, and syncing changes, with no admin rights or app registration required.

Enables local Excel workbooks to be read, modified, recalculated, and verified with screenshots through a single operation pipeline, automatically choosing openpyxl or Excel COM.

An MCP server that enables Claude to create, run, and debug Power Automate flows, with tools to explain failures and compare runs.