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    MCP server allowing LLMs to execute commands on Windows terminals, including local shells (cmd, PowerShell, bash) and remote SSH connections with a 3-level security model.
    MIT
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    maintenance
    Multi-threaded terminal management MCP server for AI assistants, enabling async command execution, batch operations, and real-time web monitoring with up to 100 concurrent terminals.
    2
    MIT
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    quality
    B
    maintenance
    Provides Claude and other AI agents with read-only, guardrailed access to Pinpoint APM data, enabling production debugging through traces, metrics, transactions, and service topology.
    Apache 2.0
  • F
    license
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    A
    maintenance
    Exposes VS Code terminals as MCP tools, allowing AI agents to create, execute commands, read output, list, and kill terminals across multiple workspaces.
    -
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    Integrates Monti APM with the Model Context Protocol to provide AI assistants with access to Meteor application performance monitoring data. It enables users to monitor system metrics, analyze method execution traces, and track application errors through natural language.
    1
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  • A
    license
    A
    quality
    B
    maintenance
    Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.
    4
    12,904 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to interact with the npm registry, covering package intel, dist-tags, trusted publisher configuration, access and team governance, tokens, security advisories, and publishing, with read-only tools by default.
    3
    34 npm
    MIT
  • A
    license
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    quality
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    maintenance
    An MCP server that allows coding agents to search the Swift Package Index and retrieve GitHub READMEs without requiring an API key. It features comprehensive search filters for stars, platforms, and licenses, providing token-efficient responses optimized for LLM comprehension.
    3
    MIT
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    quality
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    maintenance
    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.
    4
    Apache 2.0