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    A lightweight npm MCP server for deep Redis diagnostics, offering tools for memory, slowlog, clients, keyspace, latency, and config analysis with AI-powered recommendations.
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    MIT
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    An MCP server that scans your lockfiles (npm, PyPI, Go, Rust, Ruby, PHP) for known vulnerabilities, enriches with EPSS exploit probability scores, and recommends fix versions. $14/mo — not per-seat.
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    MIT
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    MCP security trust layer. Continuously monitors 800+ MCP packages on npm for install scripts, command injection, hardcoded secrets, capability drift, and publisher posture. Ships a GitHub Action policy gate for PR-level allow/warn/block decisions. 5 MCP tools, no API key required.
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    MIT
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    Provides real-time data for package versions, download counts, and cloud service statuses across npm, PyPI, and various service providers. It enables users to perform technical lookups and monitor service uptime through natural language commands.
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    MIT
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    rungraph is an MCP server (stdio, npx rungraph mcp) that turns Claude Code and Codex transcripts into an interactive run graph. Seven tools: list_runs, get_graph, find_nodes, get_detail, focus_nodes, get_current_view, open_visualization. Reads transcripts post-hoc, no hooks, local-only, zero runtime dependencies. Published on npm as rungraph.
    1,504
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    MIT
  • F
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    Enables monitoring and querying of telecom performance management (PM) counters from remote SFTP locations, providing access to interface statistics, CPU/memory utilization, BGP peer data, and system metrics through a conversational interface.
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    Enables querying and analysis of container terminal operations including vessel tracking, crane management, and productivity metrics through natural language interactions with a MySQL database.
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    Enables management of BeyondTrust Endpoint Privilege Management (EPM) through natural language, supporting policy, computer, user, group management, file inspection, audit monitoring, and admin access requests.
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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.
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