SafeDep VET alternatives

1

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

2

Semgrep MCP Server

A Model Context Protocol server powered by Semgrep for seamless code analysis integration.

Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.

611 54 MCP

3

GitHub MCP Server

Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

24,418 2,997 MCP

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Vibe Check MCP

Plug & play agent oversight tool to keep LLMs aligned, reflective, and safe.

Vibe Check MCP provides a mentor layer over large language model agents to prevent over-engineering and promote optimal, minimal pathways. Leveraging research-backed oversight, it integrates seamlessly as an MCP server with support for STDIO and streamable HTTP transport. The platform enhances agent reliability, improves task success rates, and significantly reduces harmful actions. Designed for easy plug-and-play with MCP-aware clients, it is trusted across multiple MCP platforms and registries.

315 36 MCP

5

OPNsense MCP Server

AI-powered firewall and network management for OPNsense

OPNsense MCP Server provides a comprehensive Model Context Protocol server for automating and managing OPNsense firewall configurations. It enables AI assistants, such as Claude, to directly interact with and control networking features including firewall rules, NAT, VLANs, diagnostics, and advanced system operations via API and SSH. The tool supports batch operations, direct command execution, and advanced troubleshooting, enhancing network management automation. It also supports integration for infrastructure as code and toolchains supporting MCP environments.

26 3 MCP

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Azure DevOps MCP Server

Standardized AI access to Azure DevOps via Model Context Protocol.

Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

306 93 MCP

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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.

3 2 MCP

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Kanboard MCP Server

MCP server for seamless AI integration with Kanboard project management.

Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

15 4 MCP

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domain-lookup-mcp

MCP server for domain name lookup using RDAP and WHOIS.

Provides an MCP-compliant server that allows clients to perform domain name lookups via RDAP and WHOIS protocols. The tool is built in Go and can be directly integrated with any MCP client configuration. It automates the retrieval of domain registration details, streamlining the process of accessing authoritative domain information.

5 2 MCP

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mcp-security-audit

MCP server for automated npm package security auditing.

mcp-security-audit is an MCP (Model Context Protocol) server designed to audit npm package dependencies for security vulnerabilities. It supports real-time vulnerability scanning, integrates directly with remote npm registries, and generates detailed reports with severity, CVSS scores, and CVE information. Compatible with npm, pnpm, and yarn, it also provides automatic fix recommendations and supports standardized MCP integration for tools like Cursor and Cline.

46 8 MCP

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RAD Security MCP Server

AI-powered security insights for Kubernetes and cloud environments via the Model Context Protocol.

RAD Security MCP Server is an implementation of the Model Context Protocol designed to deliver AI-powered security insights and operations for Kubernetes and cloud platforms. It serves as an MCP server for RAD Security, providing a range of toolkits for container, cluster, identity, audit, and threat management. The server is easily configurable via environment variables, allowing for flexible toolkit activation and authentication options. Multiple deployment options are supported, including Node.js, Docker, and integration with development environments like Cursor IDE and Claude Desktop.

5 5 MCP

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Package Version MCP Server

Check latest stable package versions across multiple registries with an MCP server.

Package Version MCP Server acts as an MCP-compliant server that assists large language models in fetching the latest stable versions of packages from a variety of registries such as npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. It can be integrated via command-line, URL, or containers and is tailored for development environments and tools that require accurate package versioning for code generation or recommendations. The solution is adaptable and is transitioning towards incorporation in the broader mcp-devtools suite.

118 23 MCP

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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

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Maven Tools MCP Server

Universal Maven Central dependency intelligence server for JVM build tools via the Model Context Protocol.

Maven Tools MCP Server provides an MCP-compliant API delivering rich Maven Central dependency intelligence for JVM build tools like Maven, Gradle, SBT, and Mill. It enables AI assistants to instantly analyze, interpret, and recommend updates, health checks, and maintenance insights by reading maven-metadata.xml directly from Maven Central. With Context7 integration, it supports orchestration and documentation, enabling bulk analysis, stable version filtering, risk assessment, and rapid cached responses. Designed for seamless integration into AI workflows via the Model Context Protocol.

14 2 MCP

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Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

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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

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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

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Mindpilot MCP

Visualize and understand code structures with on-demand diagrams for AI coding assistants.

Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

61 8 MCP

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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

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1mcp-app/agent

A unified server that aggregates and manages multiple Model Context Protocol servers.

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

96 14 MCP

21

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

22

Snowflake MCP Server

MCP server enabling secure and structured Snowflake database interaction with AI tools.

Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

170 75 MCP

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codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

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Wren Engine

Semantic Engine for MCP Clients and AI Agents

Wren Engine is a semantic engine designed for Model Context Protocol (MCP) clients and AI agents. It enables precise access to enterprise data by providing semantic understanding, trusted aggregations, and business term clarity across numerous data sources. With a focus on accurate context, calculation, and governance, it equips AI systems to interact safely and meaningfully with complex enterprise data. As part of the MCP ecosystem, it connects LLMs with databases and enterprise tools through standardized protocols.

496 138 MCP

25

Intruder MCP

Enable AI agents to control Intruder.io via the Model Context Protocol.

Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

21 4 MCP

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MCP-NixOS

Stop AI hallucinations about NixOS packages—get accurate, real-time information.

MCP-NixOS is a Model Context Protocol server designed to provide AI assistants with accurate, up-to-date information about NixOS packages, configuration options, Home Manager settings, and nix-darwin configurations. By interfacing with NixOS and NixHub.io, it enables detailed package search, version history, and configuration queries, drastically reducing AI-generated inaccuracies. It works cross-platform and can be deployed via different methods including uvx, Nix, and Docker.

328 17 MCP

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Octagon Deep Research MCP

AI-powered, enterprise-grade deep research server for MCP clients.

Octagon Deep Research MCP provides specialized AI-driven research and analysis via seamless integration with MCP-enabled applications. It offers comprehensive multi-source data aggregation, advanced analysis tools, and generates in-depth reports across various domains. The solution emphasizes high performance with no rate limits, enterprise-grade speed, and universal compatibility for teams needing thorough research capabilities.

70 12 MCP

28

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

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OpsLevel MCP Server

Read-only MCP server for integrating OpsLevel data with AI tools.

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

8 7 MCP

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Airtable MCP Server

Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

45 17 MCP

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MCP AI SOC Sher

AI-driven SOC Text2SQL framework with security threat analysis

MCP AI SOC Sher is an advanced AI-powered platform that converts natural language prompts into optimized SQL queries using a Model Context Protocol-based server setup. It supports Text2SQL translation, real-time query processing, and security threat analysis across multiple database types. The tool offers multiple interfaces including STDIO, SSE, and REST API for flexible integration, and features in-depth SOC (Security Operations Center) monitoring capabilities. Built-in security features include SQL injection detection, sensitive table monitoring, and configurable security levels.

5 2 MCP

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OpenAPI-MCP

Dockerized MCP server that transforms OpenAPI/Swagger specs into MCP-compatible tools.

OpenAPI-MCP is a dockerized server that reads Swagger/OpenAPI specification files and generates corresponding Model Context Protocol (MCP) toolsets. It enables MCP-compatible clients to interact dynamically with APIs described by OpenAPI specs, automatically generating the necessary tool schemas and facilitating secure API key handling. The solution supports both local and remote API specs, offers filtering by tags and operations, and can be easily deployed using Docker.

150 31 MCP

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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

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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

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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

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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

37

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

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CVE-Search MCP Server

MCP server for querying and managing CVE-Search vulnerability data.

CVE-Search MCP Server implements the Model Context Protocol to provide structured access to the CVE-Search API. It enables querying vendors, products, and vulnerabilities, as well as retrieving detailed information for specific CVEs. The server facilitates model context integration via MCP client tools, supporting seamless interactions for vulnerability data management.

67 11 MCP

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VictoriaMetrics MCP Server

Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

87 11 MCP

40

21st.dev Magic AI Agent

Instantly create and enhance UI components through natural language in your IDE.

21st.dev Magic AI Agent enables developers to generate, preview, and integrate modern UI components using natural language commands directly within popular IDEs. It leverages the Model Context Protocol for seamless interoperability, supporting automated installation and configuration across tools like VSCode, Cursor, Windsurf, and Cline. With a vast library based on 21st.dev assets and advanced features such as TypeScript support and real-time previews, it streamlines the UI development workflow. The solution also supports customization, enhancements, and integration of brand assets through SVGL.

3,919 260 MCP

41

mcp-k8s-eye

Kubernetes management and diagnostics tool with MCP protocol support.

mcp-k8s-eye enables users to manage and analyze Kubernetes clusters using standardized Model Context Protocol (MCP) interfaces. It offers comprehensive resource operations, diagnostics, and resource usage monitoring through both stdio and SSE transports. Supporting generic and custom resource management along with advanced diagnostic tooling, it is geared for integration with AI clients and other MCP consumers.

26 9 MCP

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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

43

Package Registry MCP Server

MCP server for searching and retrieving package registry information.

Package Registry MCP Server provides a Model Context Protocol interface that enables AI assistants and agents such as Claude, Cursor, and Copilot to search and retrieve up-to-date information from major package registries. It supports searching and querying detailed data for NPM, crates.io, NuGet, PyPI, and Go modules directly from the source registries. Integrations are provided for various AI tools, facilitating easy and standardized package data access.

28 6 MCP

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Inspektor Gadget MCP Server

AI-powered Kubernetes troubleshooting via Model Context Protocol.

Inspektor Gadget MCP Server provides an AI-powered debugging and inspection interface for Kubernetes clusters. Leveraging the Model Context Protocol, it enables intelligent output summarization, one-click deployment of Inspektor Gadget, and automated discovery of debugging tools from Artifact Hub. The server integrates seamlessly with VS Code for interactive AI commands, simplifying Kubernetes troubleshooting and monitoring workflows.

16 1 MCP

45

Edge Delta MCP Server

Seamlessly integrate Edge Delta APIs into the Model Context Protocol ecosystem.

Edge Delta MCP Server is a Model Context Protocol server enabling advanced integration with Edge Delta APIs. It allows developers and tools to extract, analyze, and automate observability data from Edge Delta through standardized MCP interfaces. The server supports AI-powered applications and automations, and can be deployed via Docker for straightforward operation. The Go API is available for experimental programmatic access.

5 4 MCP

46

Supabase MCP Server

Connect Supabase projects to AI assistants using the Model Context Protocol.

Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

2,263 253 MCP

47

Rug-Check-MCP

Detect risks in Solana meme tokens to prevent rug pulls

Rug-Check-MCP is an MCP server designed to analyze Solana meme tokens for potential risks, leveraging data from the Solsniffer API. It provides comprehensive token analysis through the 'analysis_token' tool, delivering structured information on risk scores, market data, and security factors. The solution aids AI agents and clients in identifying high-risk or unsafe projects, helping protect users from fraudulent tokens. Installation is streamlined for Smithery and manual Python environments.

15 8 MCP

48

K8M

AI-driven lightweight Kubernetes dashboard with integrated MCP and multi-cluster management.

K8M is an AI-enabled mini Kubernetes dashboard built with a focus on simplifying cluster management and enhancing user experience. Utilizing the Model Context Protocol (MCP), K8M offers visual management for MCP, allowing AI models to interact with Kubernetes resources and tools easily, supporting over 49 built-in MCP tools. It enables powerful multi-cluster management, integrates advanced AI capabilities such as chat-driven resource explanation and diagnostics, and supports custom large model integration including private deployments and models like Ollama.

702 119 MCP

49

JVM MCP Server

Lightweight multi-agent protocol server for JVM monitoring and diagnostics.

JVM MCP Server provides a lightweight, zero-dependency server that implements the Multi-Agent Communication Protocol for monitoring and diagnosing Java applications. It leverages native JDK tools to enable powerful AI agent interactions for gathering JVM metrics, analyzing memory and threads, and performing advanced diagnostics without relying on third-party software. The server supports both local and remote Java environments through SSH, ensuring cross-platform compatibility and secure operation.

71 15 MCP

50

Multi-Database MCP Server (by Legion AI)

Unified multi-database access and AI interaction server with MCP integration.

Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

76 19 MCP

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