MCPs tagged with # server-integration

mcp-time is a Model Context Protocol (MCP) server that enables AI assistants and MCP clients to perform standardized time and date-related operations. It provides natural language parsing for relative time expressions, supports flexible formatting, and allows manipulation and comparison of times. The server offers multiple integration methods, including stdio, HTTP stream, Docker, and npx for compatibility with various clients. It is designed for robust time handling and easy integration with AI tools.

• ⭐ 8
• MCP
• TheoBrigitte/mcp-time

Twitter MCP Server enables programmatic management of Twitter accounts with features such as retrieving home timelines, fetching user tweets, conducting hashtag searches, handling direct messages, and performing tweet creation or deletion. The server appears designed for integration into multi-channel platforms following the Model Context Protocol. It requires Python 3.11+, utilizes environment configuration for credentials, and offers an API-driven interface for various Twitter operations.

• ⭐ 47
• MCP
• LuniaKunal/mcp-twitter

Zabbix MCP Server serves as a comprehensive Model Context Protocol (MCP) server, enabling seamless integration with Zabbix using FastMCP and python-zabbix-utils. It offers complete access to Zabbix API functionalities through MCP-compatible tools, supporting advanced management of hosts, groups, items, triggers, templates, and more. The server is designed for easy installation, configuration, and automation of monitoring through a standardized protocol interface.

• ⭐ 98
• MCP
• mpeirone/zabbix-mcp-server

Marketaux MCP Server implements a Model Context Protocol (MCP) server that connects to the Marketaux news API, enabling contextual search based on entities, countries, industries, and symbols. It provides a standardized interface for AI models to retrieve news content relevant to various input parameters using the Marketaux API. The tool supports configurable options such as symbols, industries, language, and publication timestamps, delivering dynamic news search results. Environment configuration is enabled through API keys and customizable server setup.

• ⭐ 4
• MCP
• Zolo-Ryan/MarketAuxMcpServer

MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

• ⭐ 2
• MCP
• mackenly/mcp-fathom-analytics

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

• ⭐ 138
• MCP
• PostHog/mcp

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

• ⭐ 5
• MCP
• VmLia/books-mcp-server

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

• ⭐ 17
• MCP
• glenngillen/mcpmcp-server