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"Arm" matching MCP servers:

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    Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.
    Apache 2.0
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    A collection of MCP servers providing structured tools for ARM specification, verification, assembly analysis, and performance checks. They enable LLM agents and engineers to perform formal verification, analyze assembly code, and evaluate performance constraints.
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    A local, security-focused MCP server for Arma Reforger modding, providing AI coding assistants with tools for project discovery, script analysis, resource validation, log diagnosis, API documentation search, file editing, and Workbench automation.
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    MIT
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    Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.
    MIT
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    MCP server for embedded debugging based on probe-rs, providing 22 tools for ARM Cortex-M and RISC-V microcontrollers, including connection, memory operations, breakpoints, flash programming, and RTT communication.
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    MIT
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    Argus is an Arm-native, MCP-enabled diagnostic and optimization platform for ROS 2 that bridges the gap between Arm hardware capabilities and ROS 2 deployment decisions. It enables AI agents to profile hardware, assess ROS 2 tiers, and generate optimized configurations.
    MIT
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    An MCP server that autonomously optimizes ONNX ML models for Arm64 deployment, providing tools to analyze models, apply real INT8 quantization, benchmark performance, and generate Arm64-optimized Docker deployment packages.
    Apache 2.0
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    A self-hosted MCP server that fetches live documentation and performs code audits using real-time authoritative references to prevent AI hallucinations. It provides tools for searching documentation across 330+ libraries and scanning local source code for security, performance, and accessibility issues.
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    Elastic 2.0
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    An MCP server that provides AI coding assistants with access to official ARM CMSIS SVD hardware register definitions for microcontrollers. It enables precise querying of register names, bit positions, and addresses to prevent hallucinations during embedded systems development.
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    Runtime governance proxy for MCP tool calls. Inspects tool results for prompt injection and capability abuse before they reach your agent, blocking attacks that exploit the MCP trust boundary.
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    AGPL 3.0
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    MCP server for discovering and exploring Azure Verified Modules (AVM) from the Bicep Public Registry, enabling AI agents to search, retrieve module details, and access documentation.
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    MIT
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    Enables monitoring and analysis of Ansible playbook executions through the Ara Records API. Provides real-time playbook monitoring, task progress tracking, and comprehensive access to Ansible execution data.
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    MIT
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    Enables AI agents to debug embedded systems by providing a comprehensive interface for GDB operations across multiple architectures like ARM and x86. It supports remote debugging via gdbserver or QEMU, allowing for detailed inspection of memory, registers, stack frames, and variables.
    31
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    A lightweight MCP server to control Arc Browser on macOS, optimized for frontend development with 30 tools including DOM operations, debugging, and network monitoring.
    30
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    Enables exploration and analysis of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher APIs to create interactive topology maps. Provides tools for searching resources, discovering relationships, finding connectivity paths, and visualizing complete Azure infrastructure topologies.
    6
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    An MCP server that provides CPU emulation, disassembly, and assembly tools for LLM agents across multiple architectures including x86, ARM, and RISC-V. It enables agents to manage isolated emulation sessions, perform memory analysis, hook syscalls, and trace execution through a standard tool interface.
    41
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    GPL 2.0