"Code Execution" matching MCP servers:

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

C++26 paper reference MCP with lookup_paper, fuzzy search, and compiler_status tools over a 216-paper ISO/IEC 14882:2026 corpus. Backs a Claude Code plugin that biases the model toward final-form C++26 idioms (reflection, contracts, std::execution senders, expansion statements, #embed).

Enables AI coding assistants to browse Unreal Python API documentation, search classes and functions, and execute Python code in Unreal Editor.

Searches Claude Code documentation via BM25 indexing, returning ranked snippets with category filtering. Enables fast, local search over official docs without full-document scans.

MCP server for IFC4.3 specification reference — search and retrieve IFC entity definitions, attributes, inheritance hierarchies, and PropertySets

High-performance code understanding toolkit that enables batch reading of multiple files with dependency context, structural outline extraction with Java annotation awareness, and precise location of classes/methods across large codebases.

Provides AI agents with offline access to OPC UA companion specification types, dependencies, and engineering units for industrial modeling.

Serves bundled local engineering guidance—four instructions, a control Guide and 20 software engineering procedures—over local STDIO so coding agents can discover and read the right procedure for a task. It is read-only and stateless, leaving all project changes and permissions to the consuming agent.

Enables searching and accessing Dash documentation directly, with tools to list docsets, search snippets, load pages, and enable full-text search.

Connects to vibe-code-best-practices.vercel.app to index 817 tools across 185 sections and 10 domains, routes the right tool/Skill for your project need, and can recommend a full stack.

Enables MCP-capable clients to search team knowledge, browse an integration catalog, and get sourced product answers through deterministic, offline tools.

Enables execution and analysis of Pylpex code through an interpreter, supporting code execution, tokenization, variable inspection, and providing language documentation and examples.

Analyzes source code across multiple languages to extract structural elements like classes, functions, and parameters using tree-sitter. It provides LLM-optimized markdown output that includes nesting levels, line numbers, and signatures to facilitate codebase navigation.

Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.

An intelligent MCP server that serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.

Automatically collects, summarizes, and documents code from vibe coding sessions, generating multiple document types (README, DESIGN, TUTORIAL, etc.) and publishing them to platforms like Notion, GitHub Wiki, and Obsidian.

Enables users to search and navigate over 22,500 indexed sections across 16 Canadian building codes and user guides. It supports keyword searches, hierarchy navigation, and optional full-text extraction from user-provided PDF documents.

Provides AI assistants with access to personal best practice skills and coding guidelines stored as markdown files in a GitHub repository, enabling retrieval and listing of custom development standards.

Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.

Enables document retrieval, code generation, and code review for Minecraft China (NetEase) ModSDK development. It automates the creation of Mod projects, JSON configurations, and Python scripts while ensuring compliance with official development standards.

Enables document-driven development by automatically detecting Markdown spec changes, generating implementation plans, and syncing code and tests through MCP tools.

MCP server that helps AI assistants generate accurate code and guidance for Dynamsoft SDKs.

Enables organizations to centrally manage and distribute Claude Code skills, allowing members to connect and use the latest skill instructions via a single command.

Enables AI assistants to search and query documentation from multiple sources including Voiceflow and Claude Code, with full-text search, code examples retrieval, and step-by-step tutorials access.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

Serves a lab's manuscript library over the Model Context Protocol, letting clients list works, read text, search paragraphs, browse figures and notes, and record dead ends. Access is filtered by per-person sharing tiers, so each contributor's chosen slice of text, figure previews, assets and notes is what gets exposed.

MCP server for exploring the ECMAScript specification and its implementation, enabling semantic search of spec sections, JavaScript execution in engine262, and access to a knowledge graph linking spec sections to implementation functions.

Enables agents to search, create, edit, and step through JSON-based procedures with intent-driven search and step-by-step execution.

Enables AI assistants and agents to ask support questions, search knowledge articles, and list available articles from a configured support bot through MCP tools.

A local, read-only MCP server that lets coding agents search the complete AAS skill catalog, compose and validate agent-chosen skill stacks, and generate reproducible, reviewable plans without uploading project code.