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maintenanceProvides a secure, containerized Python sandbox for executing LLM-generated code with multi-layer isolation, along with JSON/CSV validation and workspace state snapshots.
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"How to create a sandbox environment" matching MCP servers:
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- MIT
- Alicense-qualityCmaintenanceEnables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.Last updated95MIT
- AlicenseBqualityAmaintenanceA lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.Last updated9MIT
- Alicense-qualityDmaintenanceEnables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.Last updated64241MIT
- FlicenseAqualityDmaintenanceEnables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.Last updated9
- AlicenseCqualityCmaintenanceEnables interaction with SAP ABAP systems via ADT APIs, allowing management of ABAP objects, transport requests, and code analysis through MCP clients.Last updated100196MIT
- Alicense-qualityCmaintenanceEnables AI assistants to safely interact with local code repositories through MCP tools for search, context building, and workspace management, while keeping all operations local and human-controlled for patch approval.Last updatedMIT
- AlicenseAqualityCmaintenanceMCP server for Speakeasy — Windows API emulation for binary analysis. It runs a .exe in a Wine-like sandbox and returns a structured API trace.Last updated3MIT
- AlicenseAqualityAmaintenancecoldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by contentLast updated61,1334MIT
- AlicenseAqualityAmaintenanceOn-demand micro-mutation sandbox for AI test verification that maps weaknesses in unit tests by running isolated mutation testing via the Model Context Protocol.Last updated31MIT
- AlicenseAqualityCmaintenanceIndexes a mono-repo into a knowledge graph and provides MCP tools to query code structure—packages, components, routes, HTTP calls—without file reads or grep round-trips.Last updated7274MIT
- FlicenseAqualityBmaintenanceA code-intelligence MCP server for coding agents that combines a static repository map (via tree-sitter) with precise live navigation (via LSP), providing structured, token-budgeted responses anchored to file:line.Last updated14
- AlicenseAqualityDmaintenanceAn MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.Last updated38MIT
- AlicenseAqualityCmaintenanceA mcp server to allow LLMS gain context about shadcn ui component structure,usage and installationLast updated102,6052,850MIT
- AlicenseAqualityBmaintenanceCodebaseAgent-MCP is an MCP server that uses a lightweight RAG pipeline to delegate repository analysis to a dedicated OpenAI-compatible LLM, reducing token consumption by having the primary assistant receive only the relevant findings instead of repeatedly scanning the entire codebase.Last updated861Apache 2.0
- AlicenseAqualityCmaintenanceAnalyzes codebases to suggest relevant learning projects and generate interactive slides with direct links to the Marble platform. It enables developers to create tailored learning experiences based on their specific technologies, patterns, and code context.Last updated3211MIT
- AlicenseAqualityFmaintenanceA powerful tool designed to help, primarily LLMs, understand and navigate complex codebases. It functions both as a command-line application for on-demand analysis and as an MCP (Model Context Protocol) server, providing continuous repository mapping capabilities to other applications. By generatingLast updated2184MIT