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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.
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    7 npm
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    MIT
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    A read-only MCP server for the Pirsch Analytics API that lets users list domains and query traffic, pages, events, and other analytics metrics through conversational agents.
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    6 npm
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    MCP server for inspecting IBM Liberty/WebSphere application servers over SSH, enabling reading sanitized configs, performing health checks, and searching logs remotely.
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    Enables AI assistants to query privacy-first web analytics from Measure.events, including pageviews, top pages, referrers, and custom event tracking, all via natural language.
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    Enables monitoring and debugging of Hatchet workflows and jobs through MCP clients like Claude Code. Users can list workflows, track run statuses, query queue metrics, and retrieve job results using natural language commands.
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    MCP server implementation that enables LLMs to interact with Rollbar error tracking data, allowing users to list and analyze errors, view occurrences, track deployments, and access project information.
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    16 npm
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    MIT
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    Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.
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    MIT
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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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    Datadog MCP — 165 tools for metrics, monitors, logs, APM, RUM, incidents, CI/CD, fleet automation. Includes incident-triage-snapshot aggregation tool and 4 workflow Prompts.
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    329 npm
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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.
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    1,300 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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    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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    Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.
    59
    Apache 2.0