VS Code MCP Server alternatives

1

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

2

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

3

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

4

Exa MCP Server

Fast, efficient web and code context for AI coding assistants.

Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

3,224 244 MCP

5

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

6

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

7

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

8

AgentQL MCP Server

MCP-compliant server for structured web data extraction using AgentQL.

AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.

120 28 MCP

9

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

10

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

11

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

12

Codex MCP Server

An MCP-compatible server delivering enriched blockchain data for AI models.

Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

20 4 MCP

13

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

14

Unichat MCP Server

Universal MCP server providing context-aware AI chat and code tools across major model vendors.

Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

37 10 MCP

15

Vectorize MCP Server

MCP server for advanced vector retrieval and text extraction with Vectorize integration.

Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

97 21 MCP

16

GXtract MCP Server

MCP server for seamless GroundX platform integration with modern editors.

GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

1 3 MCP

17

Serena

Coding agent toolkit with IDE-like semantic code retrieval and editing for LLM integration.

Serena is a free and open-source coding agent toolkit that enhances large language models with advanced semantic code retrieval and editing tools. It enables integration through the Model Context Protocol (MCP), allowing seamless operation with various coding agents, IDEs, and interfaces. Serena extracts code entities at the symbol level, supports context-aware operations, and improves token efficiency for coding tasks. The tools can be incorporated into diverse LLM-driven environments for more efficient and precise code editing.

15,643 1,038 MCP

18

Xcode MCP Server

Comprehensive Xcode integration server for AI assistants using the Model Context Protocol.

Xcode MCP Server provides an MCP-compliant interface for AI agents to interact with Xcode projects on macOS. It supports project management, simulator control, CocoaPods and Swift Package Manager integration, and advanced file and build operations. Enhanced error handling and multi-project support enable seamless automation and context management for complex Xcode workflows.

330 21 MCP

19

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

20

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

21

mcpxcodebuild

Build and test iOS Xcode projects via the Model Context Protocol server.

mcpxcodebuild is a Model Context Protocol server that enables building and testing iOS Xcode workspace and project files. It facilitates seamless integration with Visual Studio Code extensions such as Cline or Roo Code, allowing remote build and test operations via standardized MCP tools. The tool can be installed using pip or uv and is easily configurable for use with platforms like Claude.app.

76 9 MCP

22

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

23

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

24

CircleCI MCP Server

Enable LLM-driven automation for CircleCI with the Model Context Protocol.

CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

69 38 MCP

25

Lucidity MCP

Intelligent prompt-based code quality analysis for AI coding assistants.

Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

72 20 MCP

26

Code Declaration Lookup MCP Server

Fast, language-agnostic code declaration search and lookup server via MCP.

Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.

2 1 MCP

27

PostHog MCP

Easily deploy and manage Model Context Protocol servers across multiple platforms.

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

138 23 MCP

28

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

29

MCP Server for MySQL - Claude Code Edition

A Model Context Protocol MySQL server with SSH tunnels, optimized for Claude Code.

MCP Server for MySQL - Claude Code Edition provides an implementation of the Model Context Protocol for secure, context-driven access to MySQL databases. It enables AI tools, such as Claude Code, to access and manipulate database schemas and data through SSH tunnels, supporting multi-project setups and automated management. The server offers advanced configuration options and permission controls for safe interaction with remote databases.

902 262 MCP

30

Firefly MCP Server

Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

15 6 MCP

31

MCP Jira Server for Claude Code

A full-featured Model Context Protocol server for integrating Jira with Claude Code.

Provides a comprehensive MCP server enabling seamless integration of Jira functionalities with Claude Code. Supports issue management, sprint operations, comments, attachments, batch processing, and agile workflows via a standardized protocol for model context. Designed for secure, environment-based configuration and optimized for both individual and batch operations within Jira.

5 5 MCP

32

Taskade MCP

Tools and server for Model Context Protocol workflows and agent integration

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

90 20 MCP

33

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

34

mcp-miro

Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.

mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.

97 31 MCP

35

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

36

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

37

AtomGit MCP Server

AI-powered management and automation of AtomGit repositories via the Model Context Protocol.

AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.

7 4 MCP

38

Carbon Voice MCP Server

MCP server integration for Carbon Voice's conversational AI and voice messaging platform.

Carbon Voice MCP Server implements the Model Context Protocol (MCP) to integrate AI assistants with Carbon Voice’s API, offering tools for managing voice messages, conversations, users, folders, and workspaces. It supports both local (Stdio) and cloud (HTTP) deployments, prioritizing security and compliance with OAuth 2.1, HTTPS, and other best practices. The server is compatible with clients like Cursor and Claude Desktop, enabling AI-driven workflows across different environments. Key functionalities include message management, AI prompt handling, user and conversation operations, and attachment support.

4 4 MCP

39

E2B MCP Server

Add code interpretation to Claude Desktop apps with E2B Sandbox.

E2B MCP Server provides code interpreting capabilities for the Claude Desktop application through integration with the E2B Sandbox. It offers both JavaScript and Python editions for flexibility in development. The solution can be easily installed via the Smithery tool, streamlining setup and integration. The server enables seamless execution and management of code within AI-powered desktop environments.

346 56 MCP

40

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

41

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

42

MySQL MCP Server

Secure MCP interface for MySQL database interaction with AI applications.

MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.

980 203 MCP

43

wcgw

Local shell and code agent server with deep AI integration for Model Context Protocol clients.

wcgw is an MCP server that empowers conversational AI models, such as Claude, with robust shell command execution and code editing capabilities on the user's local machine. It offers advanced tools for syntax-aware file editing, interactive shell command handling, and context management to optimize AI-driven workflows. Key protections are included to safeguard files, prevent accidental overwrites, and streamline large file handling, ensuring smooth automated code development and execution.

616 55 MCP

44

@bldbl/mcp

Official MCP client for integrating AI assistants with Buildable projects.

@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

8 7 MCP

45

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

46

Linked API MCP

Connect LinkedIn to AI assistants for automated engagement and research.

Linked API MCP enables AI assistants like Claude, Cursor, and VS Code to interact with LinkedIn through a secure cloud browser. It allows automated searching for leads, profile analysis, messaging, and market research on LinkedIn. The solution is designed for sales, recruitment, and market research professionals who want to automate LinkedIn workflows. Integration is streamlined, offering a set of tools accessible to popular AI-powered platforms.

23 5 MCP

47

Neovim MCP Server

Connect AI assistants to Neovim via the Model Context Protocol.

Neovim MCP Server enables seamless integration between Neovim instances and AI assistants by implementing the Model Context Protocol (MCP). It allows for multi-connection management, supports both stdio and HTTP server transport modes, and provides access to structured diagnostic information via URI schemes. With LSP integration, plugin support, and an extensible tool system, it facilitates advanced interaction with Neovim for context-aware AI workflows.

20 3 MCP

48

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

49

CMD MCP Server

Execute CMD commands via the Model Context Protocol with cross-platform and SSH support.

CMD MCP Server is an implementation of the Model Context Protocol (MCP) for executing CMD commands on Windows and Linux systems, with additional support for SSH connections. It enables seamless integration of command-line operations with MCP-compatible applications, leveraging the official MCP SDK. Written in TypeScript for cross-platform compatibility, it allows programmatic execution, configuration, and extension of CMD operations through standardized protocols. The server is designed for easy installation, robust configuration, and developer-friendly extension.

22 11 MCP

50

MCP Obsidian Server

Integrate Obsidian note management with AI models via the Model Context Protocol.

MCP Obsidian Server acts as a bridge between Obsidian and AI models by providing an MCP-compatible server interface. It enables programmatic access to Obsidian vaults through a local REST API, allowing operations like listing files, searching, reading, editing, and deleting notes. Designed to work with Claude Desktop and other MCP-enabled clients, it exposes a set of tools for efficient note and content management within Obsidian.

2,394 298 MCP

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