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    MCP server that turns Kimi K2.6 Turbo into an agentic coding assistant with tools for file operations, shell commands, and code search.
    4
    2
    MIT
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    Offline server that explains any shell command token-by-token and flags destructive ones (rm -rf /, curl | sudo bash, dd/mkfs/shred to a disk device, chmod -R 777 /) — a safety gate for agentic shell execution.
    3
    122 npm
    5
    MIT
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    Token-efficient skim-then-expand I/O for agentic models, enabling lossless reading of large files via skeletons and exact expansion with anchor IDs.
    6
    MIT
  • F
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    Acts as the 'Hands and Eyes' for an Autonomous AI Agent, bridging Large Language Models and your local development environment to enable safe file manipulation, context reading, command execution, and documentation verification.
    9
    2
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  • A
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    A local MCP server for agentic remote development that enables code sync via rsync, SSH command execution, and long-running task management in remote tmux sessions.
    15
    2
    MIT
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    maintenance
    Provides agentic MCP tools for the Flux Framework, enabling job submission, management, and resource scheduling for HPC workloads.
    1
    MIT
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    An MCP server SSHClient with a configurable agentic security agent that can detect and prevent unsafe commands from executing through your SSH connection.
    3 npm
    2
    MIT
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    Provides secure, sandboxed terminal access for AI assistants via the Model Context Protocol, with multi-layer risk analysis and auditable command execution.
    10 npm
    8
    MIT
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    An MCP server that wraps the Taskwarrior CLI to allow AI assistants to create, query, modify, and manage tasks directly from agentic coding tools.
    10 npm
    MIT
  • A
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    quality
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    maintenance
    Enables running aider as a detached background process with git and file tools, allowing LLMs to start code editing processes and check progress asynchronously for agentic swarm behavior.
    53 npm
    MIT
  • F
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    maintenance
    Enables secure SSH command execution and log retrieval with intelligent summarization using local LLM (Ollama) and Model Context Protocol (MCP) standards.
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