A File System MCP Server implemented in Go, providing basic file operation functions such as reading and writing files, directory management, and file search, and supporting interaction through the Model Context Protocol.

Jinni is an efficient tool for providing project context to large language models. It overcomes the limitations of reading files one by one by integrating relevant files and their metadata.

This project provides support for Model Context Protocol (MCP) tool calls for LangChain, enabling interaction with AI models through the MCP toolkit, such as file reading and summary generation.

The Excel MCP Server is a model protocol service that supports reading and writing Excel data

The first NetBox MCP server that supports read and write operations, providing full CRUD functions, including creating, reading, updating, and deleting various object types in NetBox, supporting bulk operations and comprehensive model coverage.

An IMAP/SMTP email server based on the model context protocol, supporting email search, reading, sending, and management operations by AI assistants (such as Claude and Cursor) through natural language instructions.

A WeChat Reading MCP service tool that supports providing WeChat Reading book, note, and highlight data to large language model clients that support the MCP protocol.

The Redmine MCP Server is an experimental plugin that provides model context protocol services based on server - side events, supporting functions such as issue listing and wiki page reading.

The Box - MCP - Server is a model context protocol server for interacting with the Box cloud storage service. It supports authentication through JWT or developer tokens and provides file search and reading functions.

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

An Excel file reading and writing service based on the Spring AI MCP framework, supporting integration with large language models for dynamic interaction

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.

A Gmail email management server based on the Model Context Protocol (MCP), supporting searching, reading, deleting, and sending emails through an AI agent. It needs to be used with a voice interaction client.

This is a Clojure SDK for creating a Model Context Protocol server, providing core components, communication processes, and example implementations, supporting tool calls, resource reading, and prompt retrieval.

An Apple Mail email management server based on the Model Context Protocol, providing the ability for an AI assistant to access Apple Mail through natural language. It includes functions such as email reading, searching, organizing, composing, and managing, and also contains professional email management expert skills.

The Bankless Onchain MCP Server is a blockchain data interaction server based on the Model Context Protocol (MCP), providing functions such as smart contract state reading, event log query, and transaction history retrieval through the Bankless API, and supporting multiple blockchain networks.

Ebook-MCP is an e-book processing server based on the Model Context Protocol (MCP), supporting EPUB and PDF formats, providing intelligent book management, interactive reading experience, and learning assistance functions to achieve natural language interaction with e-books.

A Model Context Protocol (MCP) server for Warpcast integration, allowing users to interact with their Warpcast accounts through Claude, supporting functions such as posting, reading posts, searching, and channel management.

A local file reading server based on the MCP protocol, providing AI models with secure access to the local file system

A server based on the Model Context Protocol (MCP) that provides access to clinical guidelines from the National Comprehensive Cancer Network (NCCN). This system ensures the accuracy and reliability of medical guidance by directly reading the PDF content of the guidelines instead of using RAG technology.

Discourse MCP is a Model Context Protocol server that exposes Discourse forum functions as tools to AI agents. It supports operations such as searching, reading posts, and creating posts, provides read-only and writable modes, and supports remote tool discovery and dynamic registration.

The MCP Document Service is a document management system based on the Model Context Protocol, providing functions such as reading, writing, editing, searching, and health checking of Markdown documents, and supporting seamless integration with AI assistants.

The OpsLevel MCP server is a tool based on the Model Context Protocol that allows AI to interact with the OpsLevel account through an API token and supports reading data from multiple resources.

The ArXiv MCP Server is a middleware service that provides arXiv paper search and access functions for AI assistants. It implements paper retrieval, download, and content reading functions through the Model Context Protocol (MCP) and supports local storage to accelerate access.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

MCP Obsidian is a model context protocol server designed for the Obsidian note library, enabling integration with MCP clients such as Claude Desktop and supporting note search, reading, and writing functions.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

MySQL MCP Server is a service component that implements the Model Context Protocol (MCP), providing a secure and structured interaction interface between AI applications and MySQL databases. It supports functions such as listing database tables, reading table content, and executing SQL queries. Database connections are configured through environment variables, emphasizing security and the principle of least privilege.

A file system operation service based on Node.js, implementing the Model Context Protocol (MCP), providing operations such as file reading and writing, directory management, and file search.

The Genio MCP Server provides model context protocol services for the Genio IDE on Haiku. Through the BMessage scripting API, it allows Claude Code to directly access editor functions, including navigation, reading and writing buffers, text editing, and undo and redo operations.

This is a server that connects the Obsidian note - taking software with the Model Context Protocol, providing template - based note creation, reading and updating, tag management, file search, and advanced link management functions, including creating links between notes, detecting and fixing broken links, analyzing backlinks, and automatically generating table of contents graphs.

Excel MCP Server is a model protocol server that allows you to operate Excel files without installing Microsoft Excel, supporting functions such as creating, reading, and modifying workbooks, as well as data visualization.

The LibSQL Model Context Protocol Server is a service application built on Deno 2.1, used to connect to LibSQL databases, provide schema information, and support table queries. It handles requests such as resource listing, schema reading, prompt completion, and SQL queries through the Model Context Protocol (MCP), supporting both authenticated and unauthenticated database access, balancing flexibility and security.

The MCP Google Sheets Server is a model context protocol server for integrating the Google Sheets API, supporting direct reading, writing, and management of Google Sheets documents from an MCP client (such as Claude Desktop).

Librarian is a knowledge base server based on the MCP protocol, providing reading, search, and retrieval functions for structured documents for large language models. It organizes document content through a tag system and directory hierarchy.

OneNote MCP Server is a service based on the Model Context Protocol that allows AI assistants to securely access and operate Microsoft OneNote data, providing functions such as reading, writing, searching, and editing, and supporting advanced content processing and verification.

A Java - based Excel operation service that implements the Model Context Protocol (MCP), providing functions such as reading Excel file header information, data rows, and worksheet names, and supporting performance caching and multi - workspace verification.

The DICOM MCP Server is a medical imaging AI integration tool based on the Model Context Protocol (MCP), which supports querying, reading, and transferring PACS (Picture Archiving and Communication System) data through AI assistants, with Orthanc as the reference implementation. The project integrates DICOM, FHIR, and a mini RIS database, providing comprehensive radiology workflow management, including image query, report generation, virtual device simulation, and report archiving.

The Inkdrop MCP Server is a model context protocol server designed for the Inkdrop local HTTP server API, providing functions such as creating, reading, updating, and searching notes.

Overview: The Model Context Protocol (MCP) is a protocol designed to enable AI agents to access and utilize context, tools, and prompts. It allows for the creation of servers that provide standardized interfaces to interact with local or remote services, thereby enabling automated workflows such as reading files, operating databases, debugging code, and pushing changes to GitHub.