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Provides AI tools with direct access to project file bundles and structure through MCP resources and tools, enabling context-aware development workflows with real-time bundle management.

Enables management of Cobalt Strike red team operations through natural language commands, providing access to 200+ tools for beacon control, listener management, credential operations, and payload generation.

Cocoa Ts

The official Typescript implementation of Code Context Agent and the toolbox as an MCP client/server

A headless MCP server that enables AI to create complete 2D/3D games in Cocos Creator without opening the editor or writing TypeScript code, featuring 184 tools for scene building, physics, UI, and automated testing.

Enables execution of TypeScript code to call MCP tools instead of direct tool calls, reducing token usage by up to 98% while orchestrating complex multi-tool workflows through secure sandboxed code execution.

Code 6616205c

全面解析Code AssistantMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Code Assistant能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Standalone MCP server for code structure analysis using tree-sitter. Directory trees, symbol definitions, and call graphs without reading raw source files. Supports Rust, Python, Go, Java, TypeScript, Fortran, JavaScript, C/C++, and C#. Benchmarked up to 68% fewer tokens vs native tools.

Provides static code analysis using Joern's Code Property Graph technology for 12+ programming languages, enabling code browsing, security taint analysis, call graph exploration, and dataflow tracking through natural language queries.

Provides static code analysis using Joern's Code Property Graph technology for 12+ programming languages. Enables security analysis, code browsing, taint flow detection, and CPGQL queries through natural language.

Analyzes TypeScript codebases for health issues, fetches system incidents, and generates remediation plans.

Provides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.

A minimalist indexing tool that provides AI agents with semantic search and structural AST parsing for deep codebase understanding. It enables autonomous agents to navigate large codebases predictably using vector embeddings and native language server capabilities like definition and reference tracking.

Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

A Model Context Protocol server that analyzes application codebases with real-time file watching, providing AI assistants like Claude with deep insights into project structure, code patterns, and architecture.

Provides comprehensive codebase analysis including project structure evaluation, cross-language duplicate detection, microservices validation, and configuration optimization with AI-powered pattern learning that generates actionable improvement reports.

Enables efficient interaction with Codebeamer V3 APIs by consolidating 30+ individual API calls into 12 intelligent tools with built-in caching and rate limiting, reducing API calls by 70-98% for project management, bug tracking, and item operations.

An extended MCP server for managing code snippets, performing code analysis, and handling deployments via Render and GitHub. It enables users to perform code reviews, track issues, and manage service operations through natural language interactions.

Codebox AI

A secure Python code execution service designed to integrate with LLMs like GPT and Claude, providing a self-hosted alternative to OpenAI's Code Interpreter. Now with MCP server.

An MCP server that offloads bulk coding tasks to local LLMs, allowing Claude Code to delegate repetitive work like boilerplate generation and code polishing while preserving its context for complex reasoning.

A cognitive scaffolding platform that helps AI agents break down complex tasks into manageable steps using hierarchical planning and metacognitive guidance. Provides persistent memory, progress tracking, and intelligent pattern recognition to learn from successful project structures.