MCP Servers Directory

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

A Tiny Web Chat App for AI Models with MCP Client Support

A simple MCP server for generating images using Ali Cloud's DashScope API, with tools for task management and local image saving.

Collection of apple-native tools for the model context protocol.

Claude can perform Web Search | Exa with MCP (Model Context Protocol)

This MCP-Msoffice Interop Word Server is an open-source TypeScript project that facilitates programmatic interaction with Microsoft Word documents via COM Interop, supporting both `stdio` and `sse` transports for Model Context Protocol (MCP) communication. It offers a suite of tools to automate common Word operations such as document creation, opening, saving in various formats, closing, text insertion, and deletion. ### Features: - Implements MCP server with COM Interop support for Office documents on Windows. - Provides TypeScript-based MCP tools for Word processing tasks. - Supports `stdio` (standard input/output) and `sse` (Server-Sent Events) transports, catering to local clients and web-based or remote clients respectively. - Requires Node.js version 18+, npm, Microsoft Office installed on Windows

MCP Memory Server with DuckDB backend

Build, evaluate and run General Multi-Agent Assistance with ease

🐬DeepChat - A smart assistant that connects powerful AI to your personal world

Serper MCP Server supporting search and webpage scraping

Memento MCP: A Knowledge Graph Memory System for LLMs

CAD-MCP is an advanced CAD control service that leverages natural language processing (NLP) to enable users to issue drawing commands via simple text instructions, thereby automating various tasks within popular CAD software like AutoCAD, GstarCAD, and ZWCAD. This innovative platform supports a range of basic drawing functions such as line creation, circle drafting, arc generation, rectangle plotting, polyline construction, text insertion, pattern filling, and dimension annotation. It also offers layer management capabilities for organizing CAD drawings efficiently. The service's NLP features include command parsing to translate natural language into actionable parameters, color recognition from textual descriptions applied directly onto drawing elements, shape keyword mapping for diverse shapes description interpretation, and action keyword mapping that recognizes various editing commands.