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Integrates with OpenAPI specifications to expose REST API endpoints as MCP resources, enabling dynamic discovery and utilization of many web services.

Extracts and processes web content using TypeScript, Cheerio, and Turndown for tasks like scraping, summarization, and data transformation.

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

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.

Integration with Snowflake databases, enabling execution of SQL queries and analysis of enterprise data.

Integrates with Azure DevOps to manage work items, wikis, and project tasks, enabling AI-driven project management and cross-service automation.