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    A tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.
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    MIT
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    Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.
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    MIT
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    MCP server for agent-native secrets management that stores encrypted secrets with AES-256-GCM, issues short-lived scoped tokens, and injects secrets into requests server-side so agents never handle plaintext credentials.
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    MIT
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    A Node.js MCP server that wraps the Claude Code CLI to enable parallel execution of AI requests for code generation, editing, and refactoring. It features built-in retry logic, model selection, and JSON validation for structured outputs.
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    MIT
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    A template for creating secure, remotely accessible MCP servers with OAuth authentication and Cloudflare ZeroTrust Access protection. Enables deployment of containerized MCP servers that can be safely accessed by Claude Desktop and other MCP clients through authenticated connections.
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    Connects MCP-capable agents to the DTU Computing Center cluster for submitting, monitoring, and chaining LSF jobs without shell access.
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    MIT
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    Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.
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    MIT
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    Policy-enforcing MCP proxy that blocks dangerous tool calls before they execute. Protects credentials, filesystem, shell, and databases across Claude Desktop, Cursor, Windsurf, and OpenClaw.
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    Apache 2.0
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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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    Enables Notion AI to interact with local files, execute shell commands, and delegate complex tasks to local AI agents. Provides file operations, command execution, and task delegation capabilities for local workspace management.
    104
    MIT
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    A privacy-first memory layer that pseudonymizes sensitive data locally before sharing a 'Working-Fiction' version with external AI agents. It enables secure agentic workflows by ensuring personally identifiable information never leaves the user's sovereign hardware.
    1
    MIT
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    Provides sandboxed code execution for AI agents with support for Python, JavaScript, and shell commands. Includes comprehensive safety features like destructive pattern blocking, timeout protection, and restricted file access for secure production use.
    41
    MIT