Harness MCP Server

The Model Context Protocol (MCP) Servers repository is a curated collection of open-source utility servers designed to enhance the capabilities of AI assistants and agents. Each server provides a structured and secure interface to external data sources and tools — such as web content, Git repositories, SQL databases, or Google Drive — using the standardized MCP format. These servers act as bridges between LLMs and real-world context, allowing them to interact with the environment via trusted, permissioned protocols. The repository supports implementations in both TypeScript and Python, and is intended for self-hosted use by developers, researchers, and system integrators.

OpenAI WebSearch MCP Server allows AI assistants to: - Perform Web Searches: Execute web searches using OpenAI's web search functionality to retrieve current information not present in the assistant's training data. This integration enables AI-driven interaction with the internet, facilitating tasks such as fetching the latest news, facts, or other web-based information through natural language commands.

DeepSeek MCP Server allows AI assistants to: - Model Selection: Choose between DeepSeek's R1 (deepseek-reasoner) and V3 (deepseek-chat) models. - Configuration Management: Adjust settings like temperature, max tokens, top P sampling, and penalties. - Multi-Turn Conversations: Maintain context across multiple interactions for coherent dialogues. - Automatic Fallback: Switch between models if the primary model is unavailable. This integration facilitates advanced AI-driven interactions through natural language commands.