MCP AI SOC Sher alternatives

1

Panther MCP Server

Natural language and IDE-powered server for detection, alert triage, and data lake querying in Panther.

Panther MCP Server enables interactive management of security alerts, data lake queries, and scheduled reporting using natural language and integrated tools. It allows users to write and tune detections from an IDE, triage and comment on alerts, and execute advanced queries against security logs. The system provides a wide range of operations including alert investigation, bulk updates, AI-powered triage insight generation, and data lake schema exploration. Integration with the Model Context Protocol ensures standardized and extensible interactions for security operations.

32 14 MCP

2

MXCP

Enterprise-Grade Model Context Protocol Framework for AI Applications

MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.

49 6 MCP

3

mcp-server-sql-analyzer

MCP server for SQL analysis, linting, and dialect conversion.

Provides standardized MCP server capabilities for analyzing, linting, and converting SQL queries across multiple dialects using SQLGlot. Supports syntactic validation, dialect transpilation, extraction of table and column references, and offers tools for understanding query structures. Facilitates seamless workflow integration with AI assistants through a set of MCP tools.

26 5 MCP

4

AIM Guard MCP

AI-powered security and safety server for Model Context Protocol environments.

AIM Guard MCP is a server implementing the Model Context Protocol (MCP), providing AI-powered security analysis and safety instruction tools tailored for AI agents. It offers features such as contextual security instructions, harmful content detection, API key scanning, and prompt injection detection, all designed to guard and protect interactions with various MCPs and external services. Built for fast integration, it connects with the AIM Intelligence API and is compatible with any MCP-compliant AI assistant.

13 11 MCP

5

TeslaMate MCP Server

Query your TeslaMate data using the Model Context Protocol

TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

106 14 MCP

6

MCP 数据库工具 (MCP Database Utilities)

A secure bridge enabling AI systems safe, read-only access to multiple databases via unified configuration.

MCP Database Utilities provides a secure, standardized service for AI systems to access and analyze databases like SQLite, MySQL, and PostgreSQL using a unified YAML-based configuration. It enforces strict read-only operations, local processing, and credential protection to ensure data privacy and integrity. The tool is suitable for entities focused on data privacy and minimizes risks by isolating database connections and masking sensitive data. Designed for easy integration, it supports multiple installation options and advanced capabilities such as schema analysis and table browsing.

85 9 MCP

7

Zaturn

Your Co-Pilot For Data Analytics & Business Insights

Zaturn enables AI models to interact with multiple data sources and generate analytics without requiring users to write SQL or Python code. It supports SQL databases and file formats, providing visual and tabular summaries and offering an interactive web interface similar to Jupyter Notebook. Zaturn can function both as a standalone platform or as a Model Context Protocol (MCP) compliant tool, allowing seamless context management for AI-driven data analysis.

66 9 MCP

8

Hive Intelligence MCP Server

Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

7 5 MCP

9

ORKL MCP Server

A Model Context Protocol server for threat intelligence queries via the ORKL API.

ORKL MCP Server is an implementation of the Model Context Protocol (MCP) designed for seamless integration with MCP-compatible applications. It enables secure querying of the ORKL API, offering tools to fetch and analyze threat reports, threat actors, and intelligence sources. The server streamlines access to detailed cyber threat data for security operations and research.

45 6 MCP

10

MCP Swagger Server (mss)

Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

38 8 MCP

11

Box MCP Server (Remote)

Securely connect AI agents to Box content and Box AI using the Model Context Protocol.

Box MCP Server (Remote) enables AI agent platforms to securely interact with Box data and AI-powered tools via the Model Context Protocol. It supports OAuth-based authentication and provides various capabilities, including user identification, file and folder operations, and access to Box AI tools. The service exposes an endpoint for easy integration by MCP-compatible clients while ensuring data never leaves the Box environment. It offers both admin console and developer console setup options and comprehensive documentation for connection.

0 3 MCP

12

SonarQube MCP Server

Model Context Protocol server for AI access to SonarQube code quality metrics.

SonarQube MCP Server offers a Model Context Protocol (MCP) server that integrates with SonarQube, enabling AI assistants to access code quality metrics, issues, and analysis results programmatically. It supports retrieving detailed quality metrics, filtering issues, reviewing security hotspots, analyzing branches and pull requests, and monitoring project health. The server facilitates multi-project analysis, contextual code review, and improved assistant workflows through a standardized protocol.

101 16 MCP

13

Wazuh MCP Server

Bridge Wazuh SIEM data to AI assistants with Model Context Protocol compatibility.

Wazuh MCP Server is a Rust-based service that interfaces with Wazuh SIEM systems and transforms their complex data into Model Context Protocol (MCP) compatible formats. It enables AI assistants, including Claude Desktop Integration, to access security alerts, vulnerability assessments, agent health, and other SIEM insights through natural language queries. This solution facilitates compliance teams and security operations by providing actionable data for monitoring, forensics, compliance validation, and incident response.

137 35 MCP

14

Thales CSM MCP Server

Intelligent secrets and key management server with AI-powered app security migration.

Thales CSM MCP Server provides automated secrets and DFC key management through a Model Context Protocol-compliant HTTP server, integrating seamlessly with Thales CipherTrust and Akeyless. It supports intelligent app creation with built-in CipherTrust integration, as well as migration of existing apps by scanning for hardcoded secrets, classifying them, and updating code securely. The platform offers end-to-end workflows, from secret creation and management to account and analytics handling, all designed for compliance and developer empowerment.

0 1 MCP

15

GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

16

ROADrecon MCP Server

Expose ROADRecon Azure AD data to AI assistants for advanced security analysis.

ROADrecon MCP Server implements the Model Context Protocol to provide seamless access to Azure AD data from ROADRecon instances for AI assistants like Claude. It enables secure retrieval and analysis of directory data, offers pre-built security analysis tools, and supplies prompt templates for common security tasks. The server facilitates structured data access and tool execution, streamlining organizational security reviews.

47 8 MCP

17

Netwrix Access Analyzer MCP Server

An MCP server integrating enterprise access analysis tools with Claude Desktop.

Netwrix Access Analyzer MCP Server provides a Model Context Protocol (MCP) server designed for integration with Claude Desktop. It enables secure and dynamic access to Active Directory, SQL Server databases, and file system data for auditing and analysis. The server offers a range of tools for effective group membership discovery, permission analysis, sensitive data detection, and more. It streamlines enterprise security assessments by standardizing context-sharing for AI-driven solutions.

1 1 MCP

18

mcp-recon

Conversational reconnaissance interface and MCP server for HTTP and ASN analysis.

mcp-recon acts as a conversational interface and Model Context Protocol (MCP) server, enabling seamless web domain and ASN reconnaissance through natural language prompts. It integrates powerful tooling like httpx and asnmap to conduct lightweight or full HTTP analysis and ASN lookups, exposing these capabilities to any MCP-compatible AI assistant. With predefined prompts and Docker-based deployment, it streamlines infrastructure analysis via AI interfaces such as Claude Desktop.

22 5 MCP

19

ZoomEye MCP Server

Real-time cyberspace asset intelligence for AI assistants via Model Context Protocol.

ZoomEye MCP Server implements the Model Context Protocol (MCP) to provide network asset intelligence to AI assistants and development tools. It enables querying of global internet assets through ZoomEye's cyber asset search engine using structured parameters and dorks. The server includes features like caching, error handling, and compatibility with leading MCP environments, supporting real-time cyber asset data integration for various AI and developer platforms.

50 13 MCP

20

Signoz MCP Server

Connect SigNoz observability data to AI assistants via the Model Context Protocol.

Signoz MCP Server acts as a bridge between SigNoz observability platforms and AI assistants by implementing the Model Context Protocol (MCP). It exposes a suite of tools for querying dashboard information, fetching panel and metrics data, executing custom queries, and retrieving traces or logs from SigNoz. The tool supports integration with popular AI assistants, flexible deployment options (Docker, local virtual environments), and secure configuration via environment variables or YAML files. The server is designed to enable standardized programmatic context retrieval for enhancing AI/LLM workflows.

11 1 MCP

21

GhidraMCP

AI-powered binary analysis through Model Context Protocol integration with Ghidra

GhidraMCP is a Ghidra plugin that implements the Model Context Protocol (MCP), enabling seamless connectivity between Ghidra and AI-powered assistants for advanced binary analysis. It allows users to interact with binaries using natural language, automate security and code analysis, and retrieve detailed program insights through a socket-based architecture. The plugin offers functions for exploring binary structures, analyzing memory layouts, and identifying vulnerabilities, providing a flexible and efficient reverse engineering workflow.

77 13 MCP

22

Alchemy MCP Server

A Model Context Protocol server for structured AI access to blockchain data and actions via Alchemy.

Alchemy MCP Server enables AI agents to interact with Alchemy’s blockchain APIs using the Model Context Protocol. It provides structured endpoints for querying token prices, NFT data, transaction history, asset transfers, and executing blockchain transactions. The server streamlines blockchain data retrieval while supporting multi-network operations and advanced actions like swaps and contract transactions when paired with wallet agents. It is designed for quick setup and seamless integration with AI tools.

68 26 MCP

23

Pearch.ai MCP

Natural Language People Search and Candidate Sourcing API for Seamless ATS Integration

Pearch.ai MCP provides a high-precision people search API that interprets natural language queries to deliver top-quality candidate results. Designed for easy integration with Applicant Tracking Systems and hiring platforms, it leverages scientific methods and is trusted by recruiters. The tool is implemented as a Model Context Protocol (MCP), facilitating standardized model context handling and deployment via packages like FastMCP or through Smithery. The solution prioritizes ease of use, reliability, and high candidate match accuracy.

5 4 MCP

24

Crypto Sentiment MCP Server

AI-accessible crypto sentiment data powered by Santiment.

Delivers cryptocurrency sentiment analysis, social volume metrics, trending topics, and social dominance statistics to AI agents via the Model Context Protocol. Provides standardized APIs for retrieving market mood, tracking trending words, and monitoring significant shifts in online discussions about crypto assets. Integrates with Santiment to leverage aggregated data from social media and news sources for in-depth market insights.

40 16 MCP

25

APISIX Model Context Protocol Server

Bridge LLMs with APISIX for natural language API management.

APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

29 9 MCP

26

OSV MCP Server

SSE-based MCP server for querying the OSV vulnerability database

OSV MCP Server implements a Model Context Protocol (MCP) server that provides secure, programmatic access to the Open Source Vulnerabilities (OSV) database. It supports real-time streaming communication using SSE or streamable HTTP and allows querying of vulnerabilities for single or multiple packages, versions, or commits. The server is designed for integration with LLM-powered applications and supports configuration through environment variables and containerized deployments via ToolHive.

25 4 MCP

27

Sourcerer MCP

Semantic code search & navigation MCP server for efficient AI agent context retrieval.

Sourcerer MCP provides a Model Context Protocol (MCP) server that enables AI agents to perform semantic code search and navigation. By indexing codebases at the function, class, and chunk level, it allows agents to retrieve only the necessary code snippets, greatly reducing token consumption. The tool integrates with Tree-sitter for language parsing and OpenAI for generating code embeddings, supporting advanced contextual code understanding without full file ingestion.

95 11 MCP

28

RivalSearchMCP

Advanced MCP server for web research, discovery, and trend analysis.

RivalSearchMCP is an advanced Model Context Protocol (MCP) server designed to streamline web research, content discovery, and trend analysis. It offers tools for multi-engine web search, intelligent content retrieval, website analysis, and AI-driven content insights. The platform includes integrated trends analysis, research workflows with progress tracking, and automated generation of LLMs.txt documentation files. Its anti-detection features, real-time content streaming, and flexible data export options make it ideal for complex research and automation workflows.

10 7 MCP

29

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

30

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

31

Beelzebub

AI-driven honeypot framework with advanced threat detection and context protocol support.

Beelzebub is an advanced honeypot framework that utilizes AI and large language models (LLMs) to realistically simulate system interactions, enabling the detection and analysis of sophisticated cyber attacks. The platform supports modular service definitions via YAML, integrates with observability stacks, and supports multiple protocols including MCP, which is used to detect prompt injection against LLM agents. Designed for security researchers and professionals, it enables the creation of distributed honeypot networks for collaborative global threat intelligence.

1,680 155 MCP

32

Pydantic Logfire MCP Server

Enables LLMs to access and analyze application telemetry data through standardized MCP tools.

Pydantic Logfire MCP Server provides an MCP-compatible interface to access, analyze, and query telemetry data sent to Pydantic Logfire. It allows LLMs to retrieve distributed traces, perform SQL queries on telemetry databases, and generate links for trace inspection. The server can be integrated with well-known MCP clients and supports configuration for secure access with read tokens.

124 21 MCP

33

ShareSeer MCP Server

Access SEC filings, insider transactions, and financial data via Claude and MCP-compatible AI tools.

ShareSeer MCP Server provides Model Context Protocol (MCP) compliant access to comprehensive SEC filings, insider transactions, and financial data. It integrates with AI assistants like Claude through a secure API, enabling users to obtain real-time and historical market insights. The platform supports both free and premium tiers with scalable limits and access to advanced historical data. Easy integration, detailed toolset, and flexible subscriptions make it suitable for financial analysis, compliance, and trading research.

7 3 MCP

34

Bugsy

Automatic security vulnerability remediation for code using SAST and MCP integration.

Bugsy provides a command-line interface for automatic remediation of security vulnerabilities in codebases. It integrates with popular SAST tools such as Checkmarx, Snyk, CodeQL, and Fortify to identify issues and generate fixes. Bugsy supports both direct scanning and analysis of pre-generated SAST reports, and also operates as a Model Context Protocol (MCP) server for AI assistant integrations. The tool enables developers to streamline the vulnerability fixing process and improve code security efficiently.

60 13 MCP

35

SafeDep VET

Enterprise-grade open source software supply chain security with MCP capabilities.

SafeDep VET is an open source tool that provides supply chain security for open source software, featuring advanced software composition analysis and policy-as-code driven security enforcement. It supports multiple package ecosystems and integrates with CI/CD pipelines. Notably, it offers an MCP (Model Context Protocol) server mode to vet open source packages arising from AI-suggested code, and includes agent-based querying and scan result analysis powered by AI. The tool enables real-time malicious package detection through cloud integration and prioritizes actionable insights by analyzing actual code usage.

829 68 MCP

36

App Store Connect MCP Server

Conversational AI server for App Store Connect management via MCP

App Store Connect MCP Server is a Model Context Protocol (MCP) compliant server that enables seamless interaction with Apple's App Store Connect API. It empowers users to manage apps, beta testers, devices, bundle IDs, app metadata, and capabilities through natural language. The server supports secure authentication, real-time analytics, and localization management, streamlining development, DevOps, and product workflows.

139 23 MCP

37

Thales CipherTrust Data Security Platform CAKM MCP Server

MCP server for unified database TDE/Encryption management via CipherTrust.

Thales CipherTrust Data Security Platform CAKM MCP Server implements the Model Context Protocol (MCP) for managing database encryption (TDE/EKM) with CipherTrust Application Key Management. It supports both Oracle and SQL Server, providing tools for resource-based management, comprehensive auditing, and key lifecycle operations. The server enables integration with CipherTrust Manager, automates key rotation, and offers advanced detection of TDE configurations.

2 3 MCP

38

CongressMCP

Give your AI assistant access to comprehensive U.S. Congressional data.

CongressMCP provides seamless integration with the Congress.gov API for any MCP client, enabling AI assistants to access live U.S. congressional data, including bills, votes, committees, and member information. It supports natural language interactions for researching legislation, tracking voting patterns, and accessing government documents. The tool offers both a professionally hosted service and self-hosting options for flexibility and control.

20 3 MCP

39

VirusTotal MCP Server

Security analysis server for VirusTotal with comprehensive relationship data, compatible with MCP-enabled applications.

VirusTotal MCP Server is a Model Context Protocol server that interfaces with the VirusTotal API to deliver detailed security analysis of URLs, files, IPs, and domains. It provides comprehensive reports with automatically fetched relationship data, supporting rich security insights in a single request. Designed for seamless integration with MCP-compatible clients like Claude Desktop, it supports easy installation and flexible configuration options.

88 12 MCP

40

ImageSorcery MCP

Local image recognition and editing tools for AI assistants

ImageSorcery MCP provides AI assistants with advanced image processing capabilities, all executed locally for privacy and efficiency. It offers a suite of tools for editing, analyzing, and enhancing images, including cropping, resizing, object detection, and OCR. The software leverages pre-trained models and OpenCV techniques to handle a wide range of image tasks without requiring cloud services. Designed for AI integration, it allows natural language prompts to control image manipulation and recognition workflows.

236 30 MCP

41

TheGraph MCP Server

Empowering AI agents with indexed blockchain data from The Graph

TheGraph MCP Server provides AI agents with seamless access to indexed blockchain data through The Graph protocol. It offers tools for fetching subgraph schemas and executing custom GraphQL queries, making blockchain data exploration efficient for AI-powered applications. The server is tailored for easy integration as a Model Context Protocol (MCP) server, enabling intelligent context-aware data retrieval.

7 12 MCP

42

BICScan MCP Server

Blockchain Address Risk Scoring and Asset Insights via MCP.

BICScan MCP Server provides a robust Model Context Protocol (MCP) compatible API for comprehensive risk scoring and asset information on blockchain addresses, domains, and dApps. Leveraging the BICScan API, it enables real-time analysis for risk assessment and detailed asset holdings across multiple networks. Configuration options allow for flexible deployment with Python or Docker, and it is officially listed for MCP integration.

14 15 MCP

43

mcp-stockfish

A Model Context Protocol server that connects AI systems to the Stockfish chess engine.

mcp-stockfish provides a server implementing the Model Context Protocol (MCP) to enable seamless integration between AI models and the Stockfish chess engine. It supports multiple concurrent sessions, full UCI command support, and offers both stdio and HTTP server modes. Built for robust, concurrent usage, it handles session and command management, exposes a JSON-based API response, and offers Docker support for easy deployment.

4 5 MCP

44

Shodan MCP Server

Query Shodan network intelligence and CVEDB via standardized MCP integration.

Shodan MCP Server provides an MCP-compliant interface to query the Shodan API and Shodan CVEDB for network intelligence, device discovery, and vulnerability data. It integrates with platforms like Claude Desktop, enabling structured, formatted results for seamless AI workflows. Key functionalities include IP reconnaissance, DNS operations, vulnerability lookups, and internet-connected device searches. Easy installation options are available via npm, Smithery, or from source.

83 16 MCP

45

MobSF MCP Tool

MCP-compatible interface for MobSF APK and IPA scanning

MobSF MCP Tool enables integration of the Mobile Security Framework (MobSF) with the Model Context Protocol, allowing direct scanning and analysis of APK and IPA files through any MCP-capable client, such as Claude or 5ire. It leverages MobSF's REST API to automate file uploads, scan initiation, and report retrieval. The tool optimizes output for AI model contexts by filtering out overly large results and provides example configurations for seamless integration with leading AI desktop apps.

15 4 MCP

46

AI Distiller (aid)

Efficient codebase summarization and context extraction for AI code generation.

AI Distiller enables efficient distillation of large codebases by extracting essential context, such as public interfaces and data types, discarding method implementations and non-public details by default. It helps AI agents like Claude, Cursor, and other MCP-compatible tools understand project architecture more accurately, reducing hallucinations and code errors. With configurable CLI options, it generates condensed contexts that fit within AI model limitations, improving code generation accuracy and integration with the Model Context Protocol.

106 12 MCP

47

MCPR

Stateful Human-AI Collaboration and Persistent R Sessions

MCPR enables AI agents to establish interactive, persistent sessions within a live R environment, allowing for stateful, multi-step analytical workflows. By leveraging JSON-RPC 2.0 over `nanonext` sockets, it facilitates robust, asynchronous communication and exposes R session functionalities as modular tools. The framework includes session management, service discovery, and advanced plot rendering capabilities, making it ideal for collaborative and iterative data analysis.

16 5 MCP

48

WSB Analyst MCP Server

Real-time WallStreetBets data analysis for AI model integration

WSB Analyst MCP Server provides real-time access to WallStreetBets data, enabling detailed analysis of posts, comments, and shared resources. It integrates seamlessly with Claude Desktop and other MCP-compatible clients, allowing AI models to leverage structured Reddit data. Users can gather insights through customizable prompt templates and benefit from features like progress reporting and advanced filtering. The server ensures smooth context management between Reddit data streams and language models.

19 7 MCP

49

Speech.sh

Command-line text-to-speech utility with MCP integration using OpenAI's API.

Speech.sh provides robust text-to-speech capabilities from the command line by leveraging OpenAI's API and offers Model Context Protocol (MCP) compatibility for integration with AI assistants. Supporting multiple voice options, adjustable speech speed, and both tts-1 and tts-1-hd models, it ensures seamless audio conversion and playback. Flexible API key management, auto-caching, and reliable retry logic make it suitable for diverse environments. Additional features include security-focused processing, dependency validation, and compatibility with both ffmpeg and mplayer audio players.

5 1 MCP

50

Ethics Check MCP

Turn any AI into a philosophical sparring partner that challenges assumptions and biases.

Ethics Check MCP transforms AI assistants by making them actively identify and question ethical concerns, confirmation bias, and unexamined assumptions in conversations. The MCP server modifies models like Claude to interrupt comfortable exchanges and provoke critical thinking through counterarguments and alternative perspectives. By tracking ethical dimensions and user patterns, it delivers tailored challenges to encourage transparent and fair discussion. The tool is designed to keep AI-driven conversations rigorously self-critical and ethically aware.