"How to Read an Excel File" matching MCP servers:

Enables creation, reading, and manipulation of Excel workbooks without Microsoft Excel installed, supporting formulas, formatting, charts, pivot tables, and data validation through multiple transport protocols.

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

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

On-premises knowledge retrieval over the Markdown, text, PDF, Word and Excel files an organization keeps, with the rules you set enforced before anything is retrieved. Agents connect over MCP, get cited passages, and read from it and never write to it.

Enables AI assistants to read identification verdicts, search history, summarize entities, explain risk scores, and verify webhook signatures through read-only tools over stdio or streamable HTTP.

An MCP server for reading, creating, and managing PDF, DOCX, and Excel documents with OCR, styling, categorization, and remote file bridges.

MCP server for EveryPage that lets an AI assistant turn a PDF into a tracked share link and report who read it, how far they got, and where they stopped.

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

Enables an AI assistant to read form structures and submissions from a Coletum account (read-only) and to produce Excel/CSV exports, Coletum-style or user-template PDFs, and photographic reports on request. It also stores preferences such as logo and company name and reports where each generated file was saved.

Enables AI agents to discover and read Typeship API documentation and execute API operations through schema-validated MCP tools, with optional read-only mode and configurable result limits.

Excel tools for AI agents: read/write, decompile to F#/C#/XML/JSON, or build from XML/JSON.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.

Model Context Protocol (MCP) server for simple and instant file sharing. Input: file name → Output: download link in Seconds even for large file

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables AI assistants to manage crypto trading through Coinrule via natural language, including portfolio inspection, strategy creation, backtesting, and execution with configurable read/write permissions.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

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.