Model Context Protocol (MCP) server providing AI assistants with comprehensive Terragrunt documentation, code examples, and intelligent tooling for infrastructure-as-code development
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Terragrunt MCP Server is an MCP server that model Context Protocol (MCP) server providing AI assistants with comprehensive Terragrunt documentation, code examples, and intelligent tooling for infrastructure-as-code development. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 39/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"terragrunt-mcp-server": {
"url": "<see-readme-for-url>"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server that provides comprehensive Terragrunt documentation and tooling integration for AI assistants like GitHub Copilot in VS Code.
No automated test available for this server. Check the GitHub README for setup instructions.
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No known CVEs.
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A Model Context Protocol (MCP) server that provides comprehensive Terragrunt documentation and tooling integration for AI assistants like GitHub Copilot in VS Code.
This MCP server enables AI assistants to access and search the complete Terragrunt documentation, providing intelligent assistance for working with Terragrunt configurations, CLI commands, and HCL syntax. It features a robust caching system with network resilience and multiple fallback mechanisms.
New: Multi-mode architecture with 60-94% token overhead reduction for optimized AI assistant integration. Choose the mode that fits your workflow: CORE (docs), CONFIG (generation), GUIDANCE (troubleshooting), OBSERVABILITY (metrics), or FULL (all tools).
.cache/terragrunt-docs/)See Lazy Loading Documentation for performance optimization details.
See Advanced Backend Templates for enterprise configuration options.
8 consolidated tools for comprehensive Terragrunt assistance:
search_docs - Unified Documentation SearchUnified tool for all documentation search needs - semantic search, browsing sections, retrieving content, and finding code examples.
mode (string, optional): Operation mode - search, list, section, or examples (default: search)query (string, conditional): Search query text (required for search mode, optional for examples)section (string, conditional): Section name (required for section mode)detailLevel (string, optional): summary or full (default: summary)function_reference - Built-in Function ReferenceGet function details OR list all functions - unified tool for Terragrunt built-in function documentation.
function_name provided):
function_name (string): Function name (e.g., "path_relative_to_include", "get_env")