"PentestMCP - Penetration Testing MCP Server" matching MCP servers:

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

Enables remote control of AI coding assistants (Claude Code/Codex) via Telegram, allowing you to manage long-running tasks, send commands, and receive notifications from anywhere. Supports unattended mode with smart polling for up to 7 days and multi-session management.

Enables MCP clients like VS Code and Copilot Chat to drive the Freebuff coding agent from the editor, with persisted sessions, transcripts, and a safe read-only ask agent by default.

Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.

A Model Context Protocol server that provides integration with LeetCode APIs, enabling automated interaction with programming problems, contests, solutions, and user data across both leetcode.com and leetcode.cn platforms.

Enables MCP clients to control the local Codex CLI, including running and resuming agent sessions, forking, code review, applying diffs, and generating images, with background execution for long-running tasks.

MCP server for DeepSeek AI models (Chat + Reasoner). Supports multi-turn sessions, model fallback with circuit breaker, function calling, thinking mode, JSON output, multimodal input, and cost tracking.

A Model Context Protocol (MCP) server that helps AI coding assistants identify critical design issues in code, rather than just focusing on cosmetic problems when asked to improve code.

Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.

A Model Context Protocol server that routes tasks to Z.ai's GLM-4.7 model, enabling Claude Code to delegate work to a more cost-efficient AI model without sacrificing quality.

ast-mcp-server gives coding agents compact, type-aware access to TypeScript and JavaScript projects, providing structural code tools based on the real compiler project model through ts-morph for declarations, references, renames, and diagnostics, with safe prepare → review → apply mutation semantics and immutable hash-bound plans.

Enables programmatic interaction with Happy AI sessions, allowing users to list, create, monitor, send messages to, and manage AI coding sessions across multiple machines.

Unofficial MCP server for Google's Jules AI coding agent that lets AI assistants create and manage asynchronous coding tasks through the Jules API v1alpha.

Exposes the Mavis multi-agent system as an MCP server, enabling Claude Code and other MCP clients to manage sessions, spawn agents, orchestrate team tasks, and perform code reviews, memory searches, and cron scheduling via natural language.

Bridges Claude and OpenAI's Codex CLI for AI-powered code analysis, generation, and review, with support for session management, web search, and structured output.

Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.

Bridges MCP clients to Moonshot AI's Kimi Code CLI, enabling file analysis, brainstorming, batch tasks, code reviews, and session management within editors like Claude Desktop and Cursor.

Enables AI assistants to interact with Google's Jules coding agent API for autonomous coding tasks, allowing users to delegate bug fixes, refactoring, testing, and feature development with scheduling capabilities and human-in-the-loop approval workflows.

An MCP server for managing, editing, and running Stata .do files, integrating with Claude Desktop to enable natural language control of Stata analysis on macOS.

Enables parallel code generation and review via MCP with fault-tolerant worker pool, auto-scaling, and SONA self-improvement for robust LLM orchestration.