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    A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.
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    MIT
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    Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.
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    MIT
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    Provides Claude Desktop with direct access to your local file system for development tasks, enabling file operations (read, write, edit), directory browsing, command execution, and codebase search within a configured projects directory.
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    MIT
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    Self-hosted MCP server that gives AI assistants a real Linux development environment: file editing, shell commands, tmux terminals, and browser screenshots, with bounded access through a project registry and write gates.
    39
    MIT
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    An MCP server that enables interaction with development containers through the devcontainers CLI, allowing users to start, run commands in, and execute arbitrary shell commands inside devcontainers.
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    MIT
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    Remote-first tmux co-pilot that lets LLMs operate inside real tmux sessions with SSH-aware discovery, deterministic window/pane control, and pull-based state snapshots for grounded terminal assistance.
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    AGPL 3.0
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    Local-first MCP server for controlling Google Colab as a development, shell, file, and training runtime, with tools for notebook editing, GPU acceleration, and file transfer.
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    Apache 2.0
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    An MCP server for secure process management, allowing LLMs to start, monitor, and manage whitelisted processes like development servers and test watchers.
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    MIT
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    A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development. This server bridges the gap between AI coding assistants and Dart/Flutter development workflows by implementing the Model Context Protocol (MCP).
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    MIT
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    DockaShell is an MCP server that provides AI agents with isolated Docker containers for persistent shell access, file operations, and full audit trails, enabling autonomous development and self-evolving workflows.
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    Apache 2.0
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    Exposes a local development project as a secure MCP server over a stable HTTPS URL via Cloudflare tunnel, with configurable access permissions and 33 development tools for file, command, Git, and process operations.
    MIT
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    Transform your local machine into a powerful code command center. Automate file handling, run terminal commands, and leverage AI to enhance your development workflows—all securely and instantly, without cloud latency.
    14
    MIT
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    An MCP server that enables AI assistants to perform development operations on remote servers via SSH, including executing commands, managing files, and browsing directories.
    1
    MIT