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HAL (HTTP API Layer) is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models.

Hoverfly MCP Server turns Hoverfly into an AI-controllable HTTP mocking engine via the Model Context Protocol (MCP). It enables developers using AI assistants like Cursor, Claude, and Copilot to create, validate, and manage mock APIs on demand. Useful for simulating flaky or third-party services, it supports matcher suggestions, templating help, log debugging, and live inspection — all triggered through natural language or structured tool use.

APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API. It aims to enable natural language-based interaction for viewing and managing resources in APISIX through MCP-compatible AI clients.

Interact with local Git repositories for version control tasks.

Integrates source relation functionality to simplify connecting and organizing diverse data inputs, enabling efficient retrieval and processing.

Provides real-time stock market data and trading capabilities using yfinance, offering tools for quotes, company information, historical prices, symbol search, analyst recommendations, and insider transactions.