"Elastic Stack" matching MCP servers:

Visual tech-stack inventory of any codebase: languages, frameworks, databases, AI SDKs, infra.

Enables Claude to inspect, analyze, and grade local Git repositories with tools for stats, TODO scanning, git history, large file detection, health scores, and tech stack fingerprinting.

MCP server for the Symbols.app platform, enabling AI coding assistants to search docs, generate components, audit code, manage projects, and deploy via the smbls stack.

Zero-config MCP server that connects local codebases to AI assistants, providing secure project tree, regex search, file reading, and tech stack tools locally.

Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

Enables decoding minified production stack traces to original TypeScript source locations using source maps, with tools for retracing, code context retrieval, and sourcemap auditing.

An MCP server that enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to index repositories and ask questions about their code, architecture and tech stack.

Reads a directory of projects and reports on their stack, git state, deployment targets, and monetization readiness.

Provides AI-callable tools for modernizing legacy applications, including stack detection, API contract extraction, SQL to Flyway conversion, and migration effort estimation.

AI-assisted COBOL to modern stack bridge that parses COBOL programs, maps to Python/Java/Go, generates test harnesses, and plans migration for legacy mainframe modernization.

Enables AI assistants to debug PHP applications through Xdebug's DBGp protocol, providing full debugging control including breakpoints, variable inspection, stack traces, and advanced features like watch expressions and code coverage.

Sub-1ms cross-stack AST contract layer and compiler verification engine mapping React/Next.js routes to FastAPI and SQLAlchemy models for AI coding agents.

Read-only MCP server for cross-stack impact analysis across Java Spring Boot backend and TypeScript frontend linked through OpenAPI.

Enables AI agents to perform step-through debugging of Python, JavaScript/Node.js, and Rust programs using the Debug Adapter Protocol, with support for breakpoints, variable inspection, and stack traces.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Deterministic AI code review with audit records, providing stack-specific rulesets and governance for coding agents.

Analyze GitHub repositories into structured JSON with tech stack detection, dependency analysis, health signals, and security checks. No AI, fully deterministic. Available as CLI and MCP server.

Local-first, read-only MCP server for Claude Code that indexes and searches full-stack projects (FastAPI + React + PostgreSQL) with SQLite-backed FTS, cross-reference graph, and file-watcher auto-reload.

This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.

MCP server that guides an AI agent through stack trace triage, from raw error to the commit and PR that introduced it.