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    MCP server that integrates Claude with the Kyushu University supercomputer Genkai's TCS (PJM) job scheduler. It enables natural language control of job submission, status monitoring, deletion, resource queries, and reading output files.
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    A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.
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    MIT
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    A comprehensive all-in-one MCP server with 172 tools across 21 categories including Git operations, tmux monitoring, log aggregation, system resource monitoring, and GitHub integration. Features enterprise-grade security, intelligent caching, cross-platform support, and zero-configuration setup for Claude Desktop.
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    AI-native security research platform that integrates Claude with MCP to execute real offensive security tools in an isolated Docker container, enabling natural language-driven recon, CVE scanning, Active Directory enumeration, and cryptographic posture assessment.
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    MIT
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    Enables safe execution of terminal commands across different shells (bash, cmd, PowerShell) with configurable timeouts, working directories, and resource limits for command-line operations through AI assistants.
    Last updated
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    Custom MCP tools for local development that enable file system access, shell command execution, and web resource browsing. Designed for local use with safety considerations for potentially destructive operations.
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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.
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    A TypeScript prototype for an MCP-style registry providing local utility tools for shell command execution, filesystem access, and search functionality. It features Zod input validation and project manifest resource exposure for embedding into larger MCP implementations.
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    Enables AI assistants to manage SLURM HPC clusters via SSH. Supports job submission, resource monitoring, queue management, and file operations.
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    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
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    MIT
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    This MCP server enables users to execute shell commands in the current iTerm2 session through integration with Claude Desktop, facilitating seamless command execution via the Model Context Protocol.
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    MIT
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    Enables AI assistants to execute SSH commands and perform token-efficient file operations on remote servers via the Model Context Protocol.
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    MIT
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    About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.
    Last updated
    37
    Apache 2.0