MCPs tagged with # Docker deployment

Baseline MCP Server serves as a Model Context Protocol (MCP) server, providing API endpoints to retrieve the baseline support status of web platform features. It fetches data from the Web Platform Dashboard API and delivers web API compatibility details, including browser support levels, baseline status, and usage data, to MCP clients or AI models. The server is configurable for various MCP clients including Claude Desktop and Visual Studio Code, and can also be deployed via Docker or Deno environments. It enables integration of up-to-date, machine-readable browser compatibility information with large language models and development tools.

• ⭐ 36
• MCP
• yamanoku/baseline-mcp-server

tavily-search MCP server provides an MCP-compliant server to perform search queries using the Tavily API. It returns search results in text format, including AI responses, URLs, and result titles. The server is designed for easy integration with clients like Claude Desktop or Cursor and supports both local and Docker-based deployment. It facilitates AI workflows by offering search functionality as part of a standardized protocol interface.

• ⭐ 44
• MCP
• Tomatio13/mcp-server-tavily

Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

• ⭐ 49
• MCP
• pab1it0/adx-mcp-server

Fal.ai MCP Server is a Model Context Protocol (MCP) compliant server that enables clients like Claude Desktop and others to generate images, videos, music, audio, and transcriptions using Fal.ai models. It offers native asynchronous operation and supports both STDIO and HTTP/SSE transports for flexible integration. The server provides high-performance media generation, including upscaling, text-to-speech, audio transcription, and image-to-image transformations, all powered by Fal.ai's API. Easy deployment options are available via Docker, PyPI, or from source.

• ⭐ 9
• MCP
• raveenb/fal-mcp-server

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

• ⭐ 5
• MCP
• Data-Everything/mcp-server-templates