CSV and Excel Processor

Context Engineer MCP is an IDE-agnostic orchestration layer that eliminates context loss when working with AI coding agents. It automatically analyzes your local codebase, generates structured documentation (PRDs, epics, stories, tech specs, and diagrams), and feeds it back into your agents. This ensures better planning, cleaner implementations, and scalable feature development—without the chaos of fragmented context across tools.

Integrates with Tavily's semantic search API to enable web searches and retrieval of relevant results for fact-checking and research tasks.

Integrates with Git repositories to enable version control operations and automation, supporting both shell-based commands and the go-git library for flexible implementation.

Integrates the Tavily search API to provide customizable web searches with options for depth, result count, time range, and AI-generated answers, enabling up-to-date information retrieval for research, content creation, and data aggregation tasks.

Integrates with Trivy to provide vulnerability scanning and automated remediation for projects across multiple programming languages and package managers.

The Terraform MCP Server provides seamless integration with the Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.