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    A single-purpose MCP server that lets an AI assistant run commands over SSH on a fixed, pre-configured host only, with an explicit per-call confirmation gate before execution.
    1
    MIT
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    An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output
    5
    1
    MIT
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    Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.
    3
    GPL 3.0
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    An MCP server that enables agents to run commands interactively in live terminal panes a user can watch and type in, and to list, create, read from, and send keys to any session, window, or pane.
    6
    MIT
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    An MCP server for driving an ITS session on a PiDP-10 emulator over raw TCP, supporting persistent connections, raw control-byte transmission, and escape syntax for DDT commands. It enables interaction with ITS systems through natural language via MCP tools like open, send, read, and status.
    6
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    Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.
    6
    4
    Apache 2.0
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    Local MCP server that exposes delegation tools for Codex, Claude, and Antigravity CLI, enabling an orchestrator agent to assign tasks to these sub-agents via non-interactive CLI commands.
    3
    MIT
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    An MCP server that enables AI agents to list and run tasks defined in Taskfile.yml, useful for automated development workflows.
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    4
    MIT
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    Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.
    6
    MIT
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    An agent-native shell as an MCP server, designed for LLM agents (like Claude Code) to execute commands with structured output, lazy detail retrieval, and effect tracking, minimizing token usage.
    9
    9 npm
    MIT
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    An MCP server for SSH connections through JumpServer, supporting persistent sessions, multiple bastions, and hot-reload configuration.
    7
    1
    MIT
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    An MCP server for FPGA toolchain operations including linting, simulation, synthesis, place-and-route, bitstream programming, and IP core registry via GitHub.
    25
    8
    MIT
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    Enables running multiple AI CLI tools (Claude, Codex, Gemini, Forge, OpenCode) as background processes with automatic permission handling, allowing LLMs to execute async multitasking and combine different AI models.
    9
    337 npm
    27
    MIT
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    Gives Claude Code full control over tmux sessions, windows, and panes, with an optional Sonnet-based safety classifier for destructive commands.
    11
    MIT
  • F
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    An MCP server that provides tools to interact with CLI applications, enabling process management including start, stop, check status, send input, and read output.
    8
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    An MCP server that exposes a single tool, jq, for running jq filters against JSON files on disk.
    1
    5 npm
    MIT
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    Lets ChatGPT, Claude Desktop, Claude Code, and other MCP clients run an allowlisted set of local commands and read files from a chosen directory, so an assistant can analyse a codebase or trigger local generators (images, sprites, assets) without metered API tokens. The server is read-only and deny-by-default by default, with no shell, path containment, opt-in writes, and required auth when exposed over HTTP.
    3
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    MIT
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    Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.
    4
    2
    AGPL 3.0
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    An environment diagnostic and correction tool for MCP that provides detailed system insights, runtime checks, and actionable suggestions to fix common issues.
    14
    30 npm
    MIT