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    A proxy server that enables AI assistants to run and interact with command-line applications like Expo through the Model Context Protocol (MCP), capturing logs and allowing keypress forwarding.
    8 npm
    12
    MIT
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    Enables interaction with remote MCP servers using SSE transport instead of STDIO for enhanced communication capabilities.
    1
    84,483 PyPI
    2,814
    Python
    MIT
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    Bypasses Claude Desktop sandbox network restrictions by providing tools to fetch any URL, execute network-capable CLI commands (yt-dlp, curl, ffmpeg), and read files created by those tools.
    937,972 npm
    1
    MIT
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    Enables dynamic SSH connection to servers for real-time JVM diagnostics using Arthas, allowing operations like thread dump, heap inspection, and method watching through MCP tools.
    MIT
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    A comprehensive MCP server suite that enables AI interaction with Gitea for repository management, secure command execution, and Docker monitoring. It provides additional tools for long-term memory, filesystem access, and web searching to support full development cycles.
    -
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    Enforces mandatory human approval before LLM agents can edit files, create files, or execute shell commands, using session tokens and audit logging.
    4
    MIT
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    A human-in-the-loop SSH bridge for AI agents that requires approval for every command before execution on configured servers.
    MIT
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    Enables AI clients to manage and execute development commands within isolated Railway sandboxes, providing a remote shell, file read/write, and sandbox lifecycle management for running tests, builds, and repository operations.
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    A secure MCP wrapper for Anthropic Claude Code that eliminates the need for permission flags while preserving full CLI functionality and working seamlessly with MCP-compatible IDEs.
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    A governance proxy for AI tools — every MCP/agent tool call is policy-gated, secret-redacted, and written to a hash-chained, offline-verifiable audit trail.
    13
    MIT
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    Whistle MCP Server is a Whistle proxy management tool based on the Model Context Protocol (MCP) protocol, which enables AI assistants to directly operate and control local Whistle proxy servers. Through this tool, AI can help users manage rules, groups, values, monitor network requests, and replay a
    32
    19 npm
    44
    MIT
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    Adds safety hooks to AI coding tools by providing enforced proxy tools (safe_write, safe_edit, safe_bash, safe_read, safe_delete) that validate operations through a configurable hook chain before execution, preventing destructive commands, file deletions, and secret exposure.
    MIT
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    Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentication.
    MIT
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    Enables remote access to local filesystem and Windows command execution through MCP-compatible clients like Notion AI, Claude, and Cursor via secure public tunnels with bearer authentication and proxy support.
    MIT
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    An interactive coding agent and MCP server that provides access to various AI models via the Tsinghua University lab proxy API. It enables users to inspect files and execute shell commands within their local directory using models like DeepSeek, GLM, and Qwen.
    10
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