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    Enables querying Margint per-customer AI margins and costs from MCP clients. Provides tools to list customers, drill into costs, check budgets, and view workspace-wide cost breakdowns.
    4
    8 npm
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    MIT
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    Enables agents to query GPU availability across SSH hosts, find free GPUs, list hosts, and inspect fleet status using only nvidia-smi on the remote side.
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    MIT
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    An MCP server for Action1, a cloud-native RMM platform, enabling remote monitoring, patch management, and endpoint management through Action1's API.
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    Apache 2.0
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    Enables centralized management and monitoring of multiple distributed worker MCP servers. Provides tools to list workers, get status of all workers, and query specific worker status.
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    Enables natural-language investigation of Datadog data including logs, metrics, monitors, traces, hosts, dashboards, events, and incidents, all through read-only API access.
    14
    767 npm
    MIT
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    Enables management and monitoring of farm operations including field and crop tracking, livestock monitoring, equipment management, and sensor readings through a Model Context Protocol interface built with FastMCP.
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    Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites. You can use Phoenix MCP Server for: Prompts Management: Create, list, update, and iterate on prompts Datasets: Explore datasets, and synte
    27
    1,388 npm
    11,883
    Apache 2.0
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    Connects AI assistants to the Vectra AI security platform to enable intelligent analysis of threat detection data and automated incident response workflows. It allows users to investigate threats, take response actions, and generate security reports using natural language.
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    56 PyPI
    6
    MIT
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    A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.
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    13 npm
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    MIT
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    A secure SSH MCP server that enables execution of read-only diagnostic commands over SSH, preventing modifications to remote systems.
    24
    60 PyPI
    8
    AGPL 3.0
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    Give your AI agents direct access to live honeypot threat intelligence. Look up attacker IPs, browse indicators of compromise (IOCs), inspect captured credentials and malware payloads, profile threat actors, and render a real-time global attack map — all from Claude, Cursor, or any MCP-compatible client.
    63 PyPI
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    MIT
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    Enables AI agents to query and operate a fleet of remote management devices through the RMS API in natural language, including device status, data usage, alerts, fleet summaries, and guarded reboots.
    MIT
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    Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.
    MIT
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    Lets agents check remote MCP servers before calling a tool, returning a safe/caution/unsafe verdict with live status, latency, auth requirements, spec readiness and whether the tool list just changed in a breaking way. It also suggests alternative servers for a given capability and sends webhook alerts when a watched server's verdict, auth state, or tool list changes.
    MIT
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    Provides a governance proxy layer for MCP servers, enforcing per-tool allowlists, human approval for write operations, quotas, secret redaction, and a hash-chained audit log of all calls.
    MIT