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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,443 servers. Last updated -

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    Provides Excel file manipulation capabilities without requiring Microsoft Excel installation, enabling workbook creation, data manipulation, formatting, and advanced Excel features.
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    A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.
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    An MCP server that allows LLMs to read, analyze, and interact with Excel files through file operations, data discovery, and comprehensive analysis tools.
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    A powerful MCP server that enables AI assistants to interact with Microsoft Graph API for managing Outlook emails, Calendar events, OneDrive files, and Contacts through natural language commands.
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    A Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.
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    Enables comprehensive Excel operations and financial calculations including investment analysis, rental property management, expense tracking, and automated financial reporting. Supports creating Excel workbooks with advanced financial formulas, cash flow projections, and tax calculations for accounting and finance workflows.
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    Enables AI assistants to read, write, and manipulate Excel files through comprehensive spreadsheet operations. Supports file management, data querying, worksheet operations, formula calculations, and includes security features like path validation and automatic backups.
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    Provides Excel file manipulation capabilities. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.
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    Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.
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    An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.
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    A Model Context Protocol server that enables AI agents to freely operate Excel spreadsheets, providing tools for workbook creation, cell manipulation, formatting, formula handling, and data export.
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    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.
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    A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.
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    A dual-mode intelligent Excel processing server that provides Excel data analysis tools for Cursor AI in MCP mode and offers a standalone web interface with support for external AI configurations like DeepSeek.
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    An MCP server that enables sending Markdown-formatted notifications to Microsoft Teams channels through a simple tool interface.
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    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.
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    The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.
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    The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format
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    A Model Context Protocol server that enables AI agents to create, read, and modify Excel workbooks without requiring Microsoft Excel installation.
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    This read-only MCP Server allows you to connect to Microsoft Planner data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
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