Browse MCP servers — page 79

Official Infisical MCP Server. Requires environment variables for authentication: INFISICAL_UNIVERSAL_AUTH_CLIENT_ID, INFISICAL_UNIVERSAL_AUTH_CLIENT_SECRET, and optionally INFISICAL_HOST_URL to set a custom host URL.

An MCP server implementation that integrates with Lexware Office, providing a seamless interface for managing business operations through the Model Context Protocol. Requires an external Lexware Office API key configured via the environment variable LEXWARE_OFFICE_API_KEY.

This Model Context Protocol (MCP) server offers integration with MATLAB, enabling users to create and run MATLAB scripts and functions via Claude or other MCP clients. Requires MATLAB installation path to be configured through the MATLAB_PATH environment variable.

一个安全的多用户远程 MCP 服务器，将大型语言模型（LLMs）连接到 Microsoft 365。需要在 .env 文件中设置环境变量 MICROSOFT_CLIENT_ID 和 MICROSOFT_TENANT_ID 以进行身份验证。

MCP 服务器提供使用 Mistral AI 的 OCR API（光学字符识别 API）的 OCR 功能。支持处理本地文件和 URL（图片和 PDF 文件）。需要环境变量 MISTRAL_API_KEY 以访问 API，以及 OCR_DIR 用于本地文件目录路径。

A simple note-taking MCP server for recording and managing notes with AI models. Requires AWS DynamoDB for note storage, configured via environment variables or connection string.

Unified gateway for Model Context Protocol servers. Requires external configuration via .env file for API keys and passcodes. Supports Docker for sandboxed execution and requires Python 3.11+ runtime.

Python MCP Sandbox 是一个交互式的 Python 代码执行工具，允许用户和大型语言模型（LLMs）在隔离的 Docker 容器中安全地运行 Python 代码和安装包。

Python MCP Sandbox 是一个交互式的 Python 代码执行工具，允许用户和大型语言模型（LLMs）在隔离的 Docker 容器中安全地运行 Python 代码和安装包。

一个用于与OpenAI助手交互的简单MCP服务器。需要在环境变量OPENAI_API_KEY中设置OpenAI API密钥。

A simple Model Context Protocol (MCP) server for generating memes using the ImgFlip API. Requires ImgFlip account credentials via environment variables IMGFLIP_USERNAME and IMGFLIP_PASSWORD.

mnemosyne OS is a zero-dependency, local-first AI memory system with graph memory, multimodal ingestion, reranking, temporal reasoning, a hash-chained audit ledger, lossless compression, and 31 MCP tools. It can be used as a Python library, CLI, HTTP API, or MCP server. No external data files are required for basic usage.