container-use - Alternatives & Competitors

Containerized environments for coding agents.

container-use enables coding agents to operate in parallel, isolated container environments integrated with the Model Context Protocol (MCP). Agents work independently in designated git branches, ensuring safe experimentation and real-time monitoring. The tool supports direct terminal access, seamless workflow integration, and works with any MCP-compatible agent, including Claude Code and Cursor. Designed for flexibility and visibility, it is suitable for managing multiple coding agents concurrently.

#containerization #coding-agents #git-integration #development-environments #agent-isolation #real-time-logs

Ranked by Relevance

  • 1
    mcp-code-runner

    mcp-code-runner

    A Docker-based code runner implementing the MCP protocol

    mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

    14 4 MCP
  • 2
    mcp-server-docker

    mcp-server-docker

    Natural language management of Docker containers via Model Context Protocol.

    mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

    648 86 MCP
  • 3
    Code Assistant

    Code Assistant

    AI coding assistant with multi-modal tool execution and MCP integration

    Code Assistant is an AI-powered coding assistant written in Rust that provides both command-line and graphical user interfaces for autonomous code analysis and modification. It supports multi-modal tool invocation, real-time streaming, and session-based project management. The tool features full Model Context Protocol (MCP) compatibility, enabling seamless integration with MCP clients, and offers advanced project-level configuration and formatting capabilities.

    110 18 MCP
  • 4
    MCP Claude Code

    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
  • 5
    codemcp

    codemcp

    Turn Claude into a hands-on pair programming assistant with direct code editing capabilities.

    codemcp integrates Claude with a user's local codebase, enabling the AI to directly implement features, fix bugs, refactor code, and run tests by making live edits to files. It emphasizes safety and auditability by forbidding unrestricted shell access and versioning all LLM-driven changes using Git. The tool is IDE agnostic and designed for use with Claude Pro, focusing on cost-efficient, high-autonomy agent workflows. Command usage is user-approved via configuration, enhancing security while allowing automated operations.

    1,572 135 MCP
  • 6
    docker-mcp

    docker-mcp

    A powerful MCP server for seamless Docker container and compose stack management.

    docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

    419 57 MCP
  • 7
    wcgw

    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
  • 8
    Endor

    Endor

    Instant, private, sandboxed environments for popular services with seamless AI agent integration.

    Endor provides on-demand, ephemeral local environments for databases and other services, running securely in isolated VMs. It includes a Model Context Protocol (MCP) mode, enabling AI agents and tools to launch and manage services programmatically and securely. Users can deploy services like MariaDB, PostgreSQL, and more, with no complex system setup required. Integration guides and support for IDEs and agent tools like Claude Code, Cursor, and VSCode are provided.

    25 5 MCP
  • 9
    Winx Agent

    Winx Agent

    High-performance Rust agent for AI code execution and context management with Model Context Protocol support.

    Winx Agent is a Rust implementation of WCGW, offering advanced shell execution and file management for large language model code agents. It delivers high-performance, multi-provider AI integration, including automatic fallbacks and code analysis capabilities. Designed for seamless integration with Claude and other LLMs, it leverages the Model Context Protocol (MCP) for standardized context handling. Multiple operational modes, advanced file operations, and interactive shell support make it suitable for robust AI-driven code workflows.

    21 8 MCP
  • 10
    VS Code MCP Server

    VS Code MCP Server

    Connect Claude and other MCP clients to code directly in VS Code.

    VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

    280 54 MCP
  • 11
    PiloTY

    PiloTY

    AI Pilot for PTY Operations via the Model Context Protocol

    PiloTY is an MCP server that enables AI agents to control interactive terminals as if they were human users. It provides stateful, context-preserving terminal sessions that support interactive programs, SSH connections, and background process management. The system allows secure integration with AI platforms like Claude Code or Claude Desktop to translate natural language instructions into complex terminal workflows. Designed for extensibility and real-world development scenarios, PiloTY empowers agents to manage remote environments, debug interactively, and automate multi-step operations.

    12 3 MCP
  • 12
    MCP Shell Server

    MCP Shell Server

    A secure, configurable shell command execution server implementing the Model Context Protocol.

    MCP Shell Server provides secure remote execution of whitelisted shell commands via the Model Context Protocol (MCP). It supports standard input, command output retrieval, and enforces strict safety checks on command operations. The tool allows configuration of allowed commands and execution timeouts, and can be integrated with platforms such as Claude.app and Smithery. With robust security assessments and flexible deployment methods, it facilitates controlled shell access for AI agents.

    153 42 MCP
  • 13
    GitMCP

    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
  • 14
    mcp-shell

    mcp-shell

    A secure Model Context Protocol (MCP) server for AI-driven shell command execution.

    mcp-shell enables AI assistants and MCP clients to securely execute shell commands via the standardized Model Context Protocol. Built in Go and leveraging the official MCP SDK, it facilitates structured, auditable, and context-aware access to shell environments. The server emphasizes security through Docker isolation, command validation, resource limits, and comprehensive audit logging.

    44 8 MCP
  • 15
    Agent-MCP

    Agent-MCP

    Multi-Agent Collaboration Protocol for Coordinated AI Software Development

    Agent-MCP enables advanced multi-agent orchestration for AI-driven software development, allowing specialized agents to collaborate via a shared persistent context. Its system manages parallel execution, persistent memory graphs, and real-time task coordination with robust visualization tools. Designed for experienced developers, it features intelligent task management and conflict prevention for scalable and complex codebases. The protocol emphasizes maintaining and sharing context among agents through standardized mechanisms.

    1,021 124 MCP
  • 16
    Gitingest-MCP

    Gitingest-MCP

    An MCP server for extracting GitHub repository summaries, structure, and file content.

    Gitingest-MCP serves as a Model Context Protocol (MCP) server compatible with context-aware AI tools. It enables MCP clients such as Claude Desktop, Cline, Cursor, and others to quickly and efficiently extract key information from GitHub repositories, including summaries, the directory tree, and individual file contents. It supports installation via Smithery or manual configuration and is designed for seamless integration into the MCP client ecosystem. Documentation provides guidance on installation, configuration, and debugging.

    131 25 MCP
  • 17
    Developer MCP Server

    Developer MCP Server

    A powerful MCP server for developer tools including file editing, shell commands, and screen capture.

    Developer MCP Server is a general purpose server that implements the Model Context Protocol, offering tools for developers such as file editing, shell command execution, and screen capturing. Built with the rmcp crate, it provides secure and cross-platform operations with file access controls that respect gitignore patterns. The server integrates seamlessly with compatible MCP clients like Claude Desktop and supports advanced workflow management features. Security, workflow branching, and context preservation make it suitable for complex problem-solving and development automation.

    16 7 MCP
  • 18
    Desktop Commander MCP

    Desktop Commander MCP

    AI-powered local tool for managing files, processes, and terminals using Model Context Protocol.

    Desktop Commander MCP enables users to search, manage files, run terminal commands, and automate development tasks through Model Context Protocol (MCP). It offers interactive process management, in-memory code execution, advanced file operations, pattern-based file editing, and comprehensive audit logging. Built on top of MCP Filesystem Server, it integrates multiple developer tools within a conversational interface, supporting enhanced process control and efficient workflow automation.

    4,883 541 MCP
  • 19
    Mattermost MCP Host

    Mattermost MCP Host

    Connects Mattermost to MCP servers, enabling AI agent-powered tool orchestration within chat.

    Mattermost MCP Host integrates the Model Context Protocol (MCP) with Mattermost, utilizing a LangGraph-based AI agent to facilitate seamless user interaction and dynamic tool execution directly in chat. It supports integration with multiple MCP servers, automatically discovers available tools, and allows users to issue commands or natural language requests. Conversational context is maintained in threads, and users can interact directly with MCP servers to manage resources and capabilities.

    27 16 MCP
  • 20
    iterm-mcp

    iterm-mcp

    MCP server for sharing and controlling your iTerm session with AI models.

    iterm-mcp is a Model Context Protocol (MCP) server that enables AI models to access, inspect, and control an active iTerm terminal session. It allows models to read terminal output, write commands, interact with REPLs, and send control characters directly to the terminal. Designed for efficient token usage and seamless integration with desktop AI clients like Claude Desktop, iterm-mcp can be installed easily and comes with minimal dependencies. The tool emphasizes user oversight and provides debugging support through the MCP Inspector.

    481 53 MCP
  • 21
    MCP Proxy Monorepo

    MCP Proxy Monorepo

    Monorepo for MCP (Model Control Protocol) servers enabling AI integrations.

    MCP Proxy Monorepo provides servers implementing the Model Control Protocol (MCP) for integrating AI services, particularly through Bitte AI. It offers a structured framework for hosting and developing MCP-compliant server packages and supports scalable, multi-service deployments. The project is built using Bun for the JavaScript runtime, Turborepo for monorepo management, and includes tools for development, code quality, and package extensibility.

    13 2 MCP
  • 22
    ACP to MCP Adapter

    ACP to MCP Adapter

    Bridge ACP Agents with MCP Applications Seamlessly

    ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.

    30 5 MCP
  • 23
    21st.dev Magic AI Agent

    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
  • 24
    Shrimp Task Manager

    Shrimp Task Manager

    Intelligent task management for AI-powered development workflows.

    Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

    1,868 230 MCP
  • 25
    CLI MCP Server

    CLI MCP Server

    A secure MCP server for controlled command-line operations.

    CLI MCP Server provides a secure implementation of the Model Context Protocol (MCP) for executing command-line operations with robust security features. It enables controlled CLI access by enforcing command and flag whitelisting, path validation, and shell operator restrictions, making it suitable for integration with large language model applications. Designed for configurable deployment, it supports detailed error reporting, execution timeouts, and strict working directory controls.

    155 28 MCP
  • 26
    Safe Local Python Executor

    Safe Local Python Executor

    A secure MCP server for local Python code execution by LLMs.

    Safe Local Python Executor provides a Model Context Protocol (MCP) server that securely exposes a local Python code execution environment for AI models and clients. Leveraging Hugging Face's LocalPythonExecutor from smolagents, it limits available imports and blocks file I/O for increased safety, all without requiring Docker or virtual machines. The tool can be integrated with MCP-compatible applications such as Claude Desktop, offering a safe and convenient code interpreter option.

    38 8 MCP
  • 27
    MCP Prompt Engine

    MCP Prompt Engine

    A dynamic MCP server for managing and serving reusable, logic-driven AI prompt templates.

    MCP Prompt Engine is a Model Control Protocol (MCP) server designed to manage and serve dynamic prompt templates using Go's text/template system. It enables users to create reusable, logic-driven prompt templates with support for variables, partials, and conditionals. The engine interacts seamlessly with any compatible MCP client, providing prompt arguments, rich CLI tools, and automatic hot-reloading of templates. Docker support and intelligent argument parsing enhance its integration and deployment capabilities.

    15 2 MCP
  • 28
    MCP Backup Server

    MCP Backup Server

    Instant backup and restore solution for AI agents and code editors with context preservation.

    MCP Backup Server is a specialized server that enables instant and contextual backups for AI agents and code editing tools. It preserves agent context and reasoning, providing targeted and minimal backups without the complexity of traditional version control systems. The tool is designed for situations requiring quick, context-aware safety backups, supporting both file and folder operations and restore functions. It integrates with editors like Cursor and Windsurf using the Model Context Protocol.

    12 5 MCP
  • 29
    GitHub Repo MCP

    GitHub Repo MCP

    Browse and access GitHub repositories through any MCP-compatible client.

    GitHub Repo MCP enables AI assistants and clients to explore GitHub repositories by navigating directories and viewing file contents using the Model Context Protocol (MCP). It is compatible with popular MCP clients such as Cursor, Windsurf, and Claude Desktop via the stdio protocol. The server provides tools to list repository directories and fetch file content, allowing for streamlined repository browsing in AI-powered workflows. Installation is straightforward via NPX, Smithery, or direct configuration in MCP-capable IDEs.

    20 10 MCP
  • 30
    mcp-server-commands

    mcp-server-commands

    Expose safe shell command execution as an MCP server for LLM tooling.

    mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.

    207 32 MCP
  • 31
    MCP Rubber Duck

    MCP Rubber Duck

    A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.

    MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

    56 7 MCP
  • 32
    Serena

    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
  • 33
    mcp-log-proxy

    mcp-log-proxy

    Web-based proxy for inspecting Model Context Protocol traffic in real time.

    mcp-log-proxy enables users to observe and debug messages exchanged between MCP clients and servers through a user-friendly web interface. It supports the STDIO interface and can operate multiple proxy instances, each accessible via a web dashboard. The tool allows customization of ports, web page titles, and log file locations, making it suitable for managing and troubleshooting MCP-based model communication. Installation is straightforward via Homebrew or Go, and it supports real-time switching between different running proxies.

    26 3 MCP
  • 34
    SSH MCP Server

    SSH MCP Server

    MCP-compliant SSH server for secure command execution on Linux and Windows.

    SSH MCP Server provides an MCP-compliant interface to expose SSH control for both Linux and Windows systems. It enables secure execution of shell commands remotely, supporting password and SSH key authentication as well as sudo and su elevation. Built with TypeScript and the official MCP SDK, the server offers configurable timeouts, process management, and compatibility with popular LLM clients such as Claude Desktop and Cursor. Designed for robust and flexible integration, it facilitates natural language interfaces to system administration tasks.

    137 24 MCP
  • 35
    TSGram MCP

    TSGram MCP

    Bring Claude Code AI to Telegram via local Model Context Protocol server.

    TSGram MCP connects Claude Code sessions with Telegram using a local server and Docker, enabling AI-powered code assistance within Telegram chats. It allows users to query, edit, and manage codebases directly from their mobile devices, while keeping all data local for privacy. The setup process is streamlined with support for both AI-guided and CLI-based installation, making integration with existing projects simple. A local web dashboard aids in bot management, ensuring secure and efficient context handling between user code and language models.

    90 22 MCP
  • 36
    GitKraken CLI

    GitKraken CLI

    Powerful command-line tool for streamlined Git workflows and MCP server integration.

    GitKraken CLI provides an advanced command-line interface for managing multiple Git repositories and work items efficiently. It includes a local MCP server, enabling seamless integration with git, GitHub, Jira, and compatibility with tools leveraging LLMs. The tool supports AI-powered commit messages, pull request generation, and robust context handling for collaborative and multi-repo workflows. Installation is available for macOS, Windows, and Unix systems.

    316 240 MCP
  • 37
    AgentMail Toolkit

    AgentMail Toolkit

    Integrates agent frameworks and protocols with AgentMail API for seamless interoperability.

    AgentMail Toolkit provides seamless integration of popular agent frameworks and protocols, including the Model Context Protocol (MCP), OpenAI Agents SDK, and Vercel AI SDK, with the AgentMail API. It supports both Python and Node environments, enabling developers to build and manage agent workflows across different platforms and standards.

    32 7 MCP
  • 38
    MCP Server for MySQL - Claude Code Edition

    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
  • 39
    joinly.ai

    joinly.ai

    Enable AI agents to join and participate in your meetings.

    joinly.ai is an open-source middleware that allows AI agents to join, interact, and execute tasks during live video calls across platforms like Zoom, Google Meet, and Microsoft Teams. Leveraging an MCP (Model Context Protocol) server, it provides essential meeting tools, modular integrations for TTS/STT, and supports any LLM provider. It enables real-time conversational flow, ensuring natural interactions and privacy-focused, self-hosted deployment.

    393 48 MCP
  • 40
    MCP Pointer

    MCP Pointer

    Point to browser DOM elements for agentic coding tools via MCP.

    MCP Pointer is a tool that combines a Chrome Extension and a local MCP Server to bridge browser DOM element selection with agentic coding tools through the Model Context Protocol. Users can visually select DOM elements in the browser using Option+Click, capturing rich contextual information such as text, CSS, and attributes. The MCP server exposes this data to AI-powered tools like Claude Code, Cursor, and Windsurf via a standardized protocol. This enables seamless, real-time transfer of in-browser context to AI coding assistants.

    519 47 MCP
  • 41
    Multiverse MCP Server

    Multiverse MCP Server

    Run Multiple Isolated MCP Server Instances with Unique Contexts

    Multiverse MCP Server acts as middleware, enabling multiple isolated instances of MCP-compatible servers to run simultaneously with unique configurations and namespaces. Each instance, or 'universe', maintains its own settings, environment variables, and file system access. Integrating with Claude Desktop, it provides seamless management and automatic restarts of MCP servers, supporting flexible, context-specific workflows for different projects.

    74 14 MCP
  • 42
    MCP Teams Server

    MCP Teams Server

    Model Context Protocol server implementation for Microsoft Teams integration.

    MCP Teams Server implements the Model Context Protocol (MCP) to enable integration with Microsoft Teams, allowing for reading, creating, and replying to messages as well as managing mentions and channel members. It offers seamless server capabilities that bridge MCP-compliant tools with Microsoft Teams environments. The solution supports message threading, user mentions, and team/channel context management, enhancing collaboration and automation in Teams. Pre-built Docker images and straightforward deployment options are provided.

    331 27 MCP
  • 43
    kill-process-mcp

    kill-process-mcp

    Natural language interface to manage and terminate system processes across platforms.

    kill-process-mcp is a cross-platform Model Context Protocol (MCP) server that enables users to list and kill operating system processes using natural language queries. It integrates with MCP-compatible LLM clients such as Claude Desktop and Cursor, offering tools for process inspection and termination. Designed for ease of use, it exposes commands to enumerate and manage processes by filtering, sorting, and executing termination based on contextual instructions.

    10 5 MCP
  • 44
    Unified Diff MCP Server

    Unified Diff MCP Server

    Beautiful diff visualization for Claude Desktop with GitHub Gist sharing and local export.

    Unified Diff MCP Server provides a powerful tool for visualizing code diffs in an engaging HTML format, tailored for use with Claude Desktop. It supports sharing diffs via GitHub Gist, saving outputs as PNG or HTML files, and features auto-delete and multi-level security. Designed for high performance and cross-platform compatibility, it makes code review and sharing diffs efficient and visually appealing.

    8 4 MCP
  • 45
    code-to-tree

    code-to-tree

    Universal Code-to-AST MCP Server for LLM Integration

    code-to-tree is an MCP (Model Context Protocol) server that enables large language models to accurately convert source code into abstract syntax trees (AST) across multiple programming languages. It provides a standalone executable that integrates with MCP clients, ensuring seamless parsing using the tree-sitter framework. The server supports languages including C, C++, Rust, Ruby, Go, Java, and Python, with minimal dependencies required. Its design focuses on ease of setup and integration in AI workflows requiring code analysis capabilities.

    66 8 MCP
  • 46
    CICADA

    CICADA

    Structured, contextual code intelligence for AI assistants on Elixir projects.

    CICADA is an MCP server that provides AI assistants with AST-level, structured access to Elixir codebases. It enables code analysis, semantic search, module and function discovery, and git/PR attribution for deeper contextual understanding. CICADA supports multiple editors and offers features like dependency mapping, dead-code detection, and local indexing with strong privacy guarantees.

    11 2 MCP
  • 47
    pyATS MCP Server

    pyATS MCP Server

    Model-driven STDIO server for safe, structured network automation with Cisco devices.

    Implements a Model Context Protocol (MCP) server that wraps Cisco pyATS and Genie for secure, structured interaction with network devices. Provides JSON-RPC 2.0 communication over standard input/output, enabling integrated control through model-driven tools for discovery, command execution, configuration, and logging. Built for containerized environments and workflow tools like LangGraph, it emphasizes safety through input validation and command restrictions.

    50 15 MCP
  • 48
    char-index-mcp

    char-index-mcp

    Character-level string manipulation tools via MCP server.

    char-index-mcp is a Model Context Protocol (MCP) server offering character-level, index-based string manipulation tools. It provides utilities for finding, splitting, and modifying strings with precise control over character positions, making it highly suited for test code generation that requires exact text handling. The server can be easily installed and integrated with platforms like Claude and Cursor, and features batch processing and regex-based utilities.

    0 1 MCP
  • 49
    MCP Server LeetCode

    MCP Server LeetCode

    An MCP server enabling AI assistants to access and interact with LeetCode data.

    MCP Server LeetCode provides a Model Context Protocol server interface to the LeetCode platform, allowing AI assistants to efficiently access LeetCode problems, user profiles, and contest information. The tool offers both a command-line interface and a programmable API for integration, supporting advanced queries and direct interaction with LeetCode resources. Comprehensive toolsets allow for searching problems, fetching daily challenges, and retrieving user and contest data. The server is designed for seamless integration with platforms such as Claude Desktop.

    33 9 MCP
  • 50
    Portainer MCP

    Portainer MCP

    Connect AI assistants securely to Portainer environments using the Model Context Protocol.

    Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

    81 16 MCP

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