Provides sandboxed code execution for AI agents with support for Python, JavaScript, and shell commands. Includes comprehensive safety features like destructive pattern blocking, timeout protection, and restricted file access for secure production use.
A security filter that blocks dangerous code patterns by comparing normalized structural syntax trees against a blacklist of known threats using vector embeddings. It acts as a gatekeeper to prevent malicious code execution by identifying dangerous structures regardless of specific identifiers or literals.
A self-hosted MCP server that provides a single execute_code tool, enabling agents to write TypeScript to call multiple REST APIs via fetch() with transparent credential injection, reducing token usage by keeping intermediate results in the sandbox.
Indexes local Python code into a Neo4j graph database to provide AI assistants with deep code understanding and relationship analysis. Enables querying code structure, dependencies, and impact analysis through natural language interactions.
Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.
Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.
CodeGraph — Open-source code intelligence MCP server. Builds a semantic graph of your codebase (functions, classes, imports, call chains) and exposes it through 31 tools. Callers, callees, impact analysis, complexity metrics, unused code detection, AI context assembly, persistent memory, cross-project search. 15 languages via tree-sitter. Single Rust binary, local-first.
The only Multi-LLM Compliance Engine (GPT-4o + Claude + DeepSeek). Auto-fix GDPR/LGPD risks and more 15 frameworks. code.guard.eu
Provides centralized security instructions for AI-assisted code generation by matching context-aware rules to the user's programming language and file patterns. It ensures generated code adheres to security best practices without requiring manual maintenance of instruction files across individual repositories.
Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.
Provides production insights and code analysis by leveraging Nexus instrumentation data to identify CPU-intensive methods and visualize execution flow trees. It enables developers to make data-driven decisions through real-time performance metrics and automated service discovery from Java class names.
Deterministic context selection for AI coding agents. Scores and selects the minimal file set for each task, then records outcomes into a local ledger that compounds into reusable patterns.
MCP server for the Codemagic CI/CD API, enabling app management, build operations, artifact handling, cache control, and team management through natural language.
CodeMap is a Roslyn-powered MCP server that lets AI agents navigate C# codebases by symbol, call graph, and architectural fact, instead of brute-force reading thousands of lines of source code. One tool call. Precise answer. No context flood.
A modular MCP server that provides tools for file operations, regex-based code searching, and structural analysis of functions and classes across multiple programming languages. It also includes AI-powered features for intelligently updating files according to architectural changes.
Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.
An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.
Connects AI tools directly to Codemend production error monitoring to list, analyze, and resolve software crashes. It enables users to retrieve AI-generated fixes and automatically open GitHub pull requests to address production issues.
Enables AI agents to write and execute Python code in an isolated sandbox that can orchestrate multiple MCP tool calls, reducing context window bloat and improving efficiency for complex workflows.
Deterministic code navigation MCP server for Codex/CodeCLI that provides compact repo context using git-aware deterministic search tools without semantic search or embeddings.
