21st.dev Magic AI Agent alternatives

1

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

2

Bifrost

VSCode Dev Tools exposed via the Model Context Protocol for AI tool integration.

Bifrost is a Visual Studio Code extension that launches a Model Context Protocol (MCP) server, enabling external AI coding assistants to access advanced code navigation, analysis, and manipulation features from VSCode. It exposes language server capabilities, symbol search, semantic code analysis, and refactoring tools through MCP-compatible HTTP and SSE endpoints. The extension is designed for seamless integration with AI assistants, supporting multi-project environments and configuration via JSON files.

184 33 MCP

3

kibitz

The coding agent for professionals with MCP integration.

kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.

104 14 MCP

4

Azure MCP Server

Connect AI agents with Azure services through Model Context Protocol.

Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.

1,178 351 MCP

5

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

6

Biel.ai MCP Server

Seamlessly connect IDEs to your company’s product documentation using an MCP server.

Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

2 2 MCP

7

Mastra

A TypeScript framework for building scalable AI-powered agents and applications.

Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.

18,189 1,276 MCP

8

Defang

Develop Once, Deploy Anywhere.

Defang provides a command-line interface (CLI) and Model Context Protocol (MCP) Server that enable seamless deployment of applications from local development environments to the cloud. It supports integration with popular IDEs such as VS Code, Cursor, Windsurf, and Claude, allowing users to manage and deploy their workflows efficiently. Defang delivers secure, scalable deployments with built-in support for Docker Compose and Pulumi, and offers samples for Golang, Python, and Node.js projects. Its AI-powered features enable developers to generate and launch cloud services effortlessly.

144 20 MCP

9

Web Analyzer MCP

Intelligent web content analysis and summarization via MCP.

Web Analyzer MCP is an MCP-compliant server designed for intelligent web content analysis and summarization. It leverages FastMCP to perform advanced web scraping, content extraction, and AI-powered question-answering using OpenAI models. The tool integrates with various developer IDEs, offering structured markdown output, essential content extraction, and smart Q&A functionality. Its features streamline content analysis workflows and support flexible model selection.

2 3 MCP

10

Context7 MCP

Up-to-date code docs for every AI prompt.

Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

36,881 1,825 MCP

11

Webvizio MCP Server

Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

4 4 MCP

12

Advanced Unity MCP from Code Maestro

Control Unity with AI through natural language commands.

Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.

70 5 MCP

13

VideoDB Agent Toolkit

AI Agent toolkit that exposes VideoDB context to LLMs with MCP support

VideoDB Agent Toolkit provides tools for exposing VideoDB context to large language models (LLMs) and agents, enabling integration with AI-driven IDEs and chat agents. It automates context generation, metadata management, and discoverability by offering structured context files like llms.txt and llms-full.txt, and standardized access via the Model Context Protocol (MCP). The toolkit ensures synchronization of SDK versions, comprehensive documentation, and best practices for seamless AI-powered workflows.

43 8 MCP

14

Sequa MCP

Bridge Sequa's advanced context engine to any MCP-capable AI client.

Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

16 3 MCP

15

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

16

sentry-mcp

Remote MCP middleware for developer workflow and debugging tools.

sentry-mcp provides a remote Model Context Protocol server designed as middleware for Sentry's API, specifically optimized for human-in-the-loop coding agents and developer-oriented workflows. It enables integration with coding assistants like Cursor and Claude Code, offering both remote and stdio transports for varied environments, including self-hosted instances. The project also supports AI-powered search tools for querying events and issues, leveraging OpenAI API for natural language processing. Additionally, an Inspector tool is included for service testing and integration validation.

424 51 MCP

17

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

18

MCP Claude Code

Claude Code-like functionality via the Model Context Protocol.

Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

281 33 MCP

19

Shadcn UI v4 MCP Server

Seamlessly integrate shadcn/ui components into AI-assisted development workflows.

Shadcn UI v4 MCP Server acts as a Model Context Protocol server, delivering comprehensive access to shadcn/ui v4 components, blocks, examples, and metadata for AI assistants. It supports multiple frameworks including React, Svelte, Vue, and React Native, and enables retrieval of component source code and demos for programmatic use. Features include metadata access, directory browsing, smart GitHub API caching, and Server-Sent Events for scalable multi-client support. Production-ready options such as Docker containerization and flexible transport modes simplify deployment and integration.

2,451 271 MCP

20

GitMCP

Instantly turn any GitHub repository into an AI-ready documentation hub.

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

6,916 571 MCP

21

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

22

Unity MCP

AI-powered game development assistant bridging MCP and Unity.

Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.

510 53 MCP

23

Claude Debugs For You

Enable LLMs like Claude to interactively debug code via a VS Code extension and MCP server.

Claude Debugs For You provides an MCP-compliant server and Visual Studio Code extension that allow large language models, such as Claude, to perform interactive debugging and code evaluation. It supports language-agnostic debugging through the VS Code debugger and integrates easily with various clients, including Claude Desktop and Continue. The tool provides both stdio and SSE server support for flexible connectivity. Users can quickly install, configure, and leverage LLM-driven debugging workflows across multiple environments.

463 44 MCP

24

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

25

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

26

codemirror-mcp

CodeMirror extension for Model Context Protocol resource mentions and prompt commands

codemirror-mcp provides a CodeMirror extension that implements the Model Context Protocol (MCP) to enable resource mention handling and prompt command integration within code editors. It offers autocomplete, visual decorations, and interaction support for '@resource' mentions, as well as command triggers using the '/prompt' syntax. The extension integrates with model context servers using a defined transport and enhances the editor experience with resource click handling and customizable theming.

78 3 MCP

27

TOD - TheOneDev CLI Tool

Streamlined DevOps and AI integration for OneDev 13+ via an advanced CLI and Model Context Protocol server.

TOD is a command-line tool designed for OneDev 13+ that enhances development workflows with CI/CD job execution against local changes or specific branches and tags. It features a comprehensive Model Context Protocol (MCP) server for integrating and communicating with AI assistants, allowing intelligent and natural interactions with OneDev. The tool also supports pull request management and build specification migrations, making it a versatile utility for developers seeking automation and AI-driven enhancements.

3 2 MCP

28

Armor Crypto MCP

Unified crypto API for integrating AI agents with multi-chain blockchain tools

Armor Crypto MCP provides a centralized solution for integrating AI agents with the crypto ecosystem, supporting wallet management, swaps, staking, and a variety of trading operations across several blockchains. It streamlines access to Solana in its alpha version and aims to support a wide range of blockchains including Ethereum, Avalanche, and Bitcoin. The platform enables agents to perform complex crypto operations using standardized interfaces and seamless configuration with agentic frameworks such as Claude Desktop, Cline, and n8n. Designed for ease of integration and multi-chain compatibility, it offers advanced features like DCA, stop loss, and cross-chain transactions.

184 23 MCP

29

LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

30

CRIC物业AI MCP Server

行业级物业AI智能体，基于MCP协议的多场景助手

CRIC物业AI MCP Server is a server-side implementation based on the Model Context Protocol (MCP), offering intelligent assistance specifically for the property management sector. It integrates multi-modal large models and RAG technology to provide industry research, legal insights, community governance, project operations, and copywriting support. The platform leverages extensive proprietary datasets and real-time data monitoring to deliver accurate, context-driven services for diverse property-related business scenarios.

1 3 MCP

31

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

32

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

33

OpenZeppelin Contracts Wizard

Interactive contract generator and Model Context Protocol server for smart contracts.

OpenZeppelin Contracts Wizard enables users to interactively build smart contracts by combining components from OpenZeppelin Contracts. It features a web application, TypeScript API, embeddable widget, and offers MCP (Model Context Protocol) Servers for AI agents to generate contracts with customizable features. It supports Solidity, Cairo, Stellar, and Stylus languages and allows for both local and hosted MCP server usage. The platform is open source and welcomes community contributions.

288 183 MCP

34

Typst MCP Server

Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.

Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.

79 7 MCP

35

ServeMyAPI

Securely manage and serve API keys via macOS Keychain with an MCP interface

ServeMyAPI is a personal Model Context Protocol (MCP) server designed for macOS, enabling secure storage and access of API keys via the macOS Keychain. It provides both CLI and server interfaces for managing keys and supports stdio and HTTP/SSE transports for seamless integration with various clients. The tool allows natural language interaction and centralized, cross-project key management, aiming to improve developer workflows and AI assistant collaborations. ServeMyAPI eliminates common issues with environment files by offering secure, visible, and AI-accessible key storage.

23 5 MCP

36

mcp-server-atlassian-jira

Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

39 16 MCP

37

Awesome Ionic MCP server

A comprehensive coding companion for Ionic Framework and Capacitor, powered by Model Context Protocol.

Awesome Ionic MCP server delivers real-time access to Ionic Framework components, Capacitor plugins, and developer resources using the Model Context Protocol (MCP). It provides standardized tools for retrieving TypeScript definitions, API documentation, code examples, and plugin information, streamlining the mobile app development process across React, Angular, Vue, and JavaScript projects. The server aggregates and curates data from official sources including ionicframework.com, capacitorjs.com, and community repositories, offering seamless integration with MCP-compatible AI development platforms.

23 3 MCP

38

Transcribe MCP

Automate audio transcription with seamless AI assistant integration.

Transcribe MCP enables fast and high-quality audio transcriptions by integrating directly with AI assistants such as Claude, Windsurf, and Cursor. It supports both local and cloud-based workflows, offering features like word-level timestamps, speaker separation, and multi-language support. Installation is streamlined via pre-built MCP Bundles and secure integration URLs. The system also provides convenient management of balance, transcription content, and collaboration options.

5 3 MCP

39

mcp-server-atlassian-confluence

Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

39 20 MCP

40

Replicate Flux MCP

MCP-compatible server for high-quality image and SVG generation via Replicate models.

Replicate Flux MCP is an advanced Model Context Protocol (MCP) server designed to enable AI assistants to generate high-quality raster images and vector graphics. It leverages Replicate's Flux Schnell model for image synthesis and Recraft V3 SVG model for vector output, supporting seamless integration with AI platforms like Cursor, Claude Desktop, Smithery, and Glama.ai. Users can generate images and SVGs by simply providing natural language prompts, with support for parameter customization, batch processing, and variant creation.

66 14 MCP

41

mcp-server-atlassian-bitbucket

Seamlessly connect AI assistants to your Bitbucket repositories for smart code insights and workflow automation.

mcp-server-atlassian-bitbucket enables direct integration of AI assistants such as Claude and Cursor AI with Bitbucket repositories, pull requests, and code. It provides instant code insights, automates code reviews, and supports a variety of repository management actions via natural language commands. The tool utilizes Model Context Protocol (MCP) to standardize AI interaction with repository context data. It offers support for Bitbucket's new Scoped API Tokens and legacy app passwords for authentication.

84 39 MCP

42

Utopia MCP Server

A simulation MCP Server for orchestrating smart home and lifestyle devices via AI Agents.

Utopia MCP Server simulates a wide range of smart home and lifestyle devices, enabling AI agents to interact with and control them through the Model Context Protocol. It provides endpoints for managing devices like lighting, climate control, audio, security, and household robots, allowing for complex, user-centered tasks to be automated without explicit workflow programming. The server is designed to facilitate the testing and experimentation of AI-driven orchestration among multiple simulated endpoints in household environments.

9 4 MCP

43

Higress

AI Native API Gateway with Built-in Model Context Protocol (MCP) Support

Higress is a cloud-native API gateway built on Istio and Envoy, extensible with Wasm plugins in Go, Rust, or JS. It enables unified management and hosting of both LLM APIs and MCP Servers, allowing AI agents to easily call tools and services via standard protocols. The platform supports seamless conversion of OpenAPI specs to remote MCP servers and provides robust AI gateway features for enterprise and mainstream model providers. Higress is widely adopted in production environments, notably within Alibaba Cloud's core AI applications.

6,814 878 MCP

44

Token Minter MCP

MCP server enabling AI agents to mint and manage ERC-20 tokens on 21 blockchains.

Token Minter MCP is an MCP server that empowers AI agents to deploy and manage ERC-20 tokens across 21 blockchains. It provides tools to create tokens, query metadata, initiate token transfers, and retrieve transaction details. The server also offers interactive prompts to guide token deployment and exposes token metadata via standardized URIs. Built on Node.js, it integrates with EVM networks using Infura and private keys for transaction signing.

17 13 MCP

45

Vercel AI SDK Documentation MCP Agent

AI-powered documentation agent for Vercel AI SDK with Model Context Protocol support.

The Vercel AI SDK Documentation MCP Agent is a server implementing the Model Context Protocol to enable AI-powered search and conversational querying of the Vercel AI SDK documentation. It features natural language understanding, semantic search using FAISS, and session-based context management for in-depth assistance. Integration with popular MCP clients like Claude Desktop and Cursor ensures seamless use in developer workflows. Automated documentation indexing and a Gemini-powered agent enhance accuracy and contextuality of responses.

41 8 MCP

46

Smart Tree

Lightning Fast Directory Visualization and AI-Enabled Context Compression.

Smart Tree is a high-performance directory visualization tool built with Rust, offering advanced context management and AI-integrated features. It supports persistent memory anchoring, compressed context formats for reduced token usage, and real-time, interactive terminal UI via Spicy TUI mode. The tool provides programmatic hooks for MCP compliance, enabling AI assistants to recall and leverage project insights efficiently.

175 15 MCP

47

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

48

MCP Unity Editor

A Model Context Protocol implementation for Unity game development.

MCP Unity Editor implements the Model Context Protocol within the Unity Editor environment, enabling standardized management of model context. It provides tools and infrastructure for developers to build and integrate AI and model-driven workflows in Unity projects. Built with support for Unity and Node.js, it aims to facilitate robust context handling and protocol compliance for model interactions.

1,075 131 MCP

49

Postmancer

A standalone MCP server for API testing and management via AI assistants.

Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

28 4 MCP

50

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

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