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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
    57
    27
    Apache 2.0
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    It enables agents to discover Rapid7 InsightIDR log sets and logs, run LEQL searches and analytics, and follow paginated results for natural-language investigations.
    MIT
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    MCP server for read-only investigation of Aliyun SLS logs fixed to cn-beijing/taient-rpa/node-rpa. Exposes search_logs, get_context_logs, and check_connection tools with a guided investigation skill.
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    Enables AI-driven SOC investigations by providing automated Splunk querying, threat intelligence enrichment, and response actions through natural language. Includes tools for IP pivoting, lateral movement detection, and label harvesting.
    31
    1
    Apache 2.0
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    A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.
    61
    30 PyPI
    16
    MIT
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    Enables AI clients like Claude to triage, investigate, and operate Icinga installations through natural language, integrating with Icinga's REST APIs and providing deep awareness of monitoring plugins and historical performance data.
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    A safety layer and monitoring copilot for AI agents using Splunk MCP, recording tool calls, enforcing policies, and blocking risky actions.
    MIT
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    Enables AI agents to query and analyze Graylog logs through MCP tools for search, aggregation, stream listing, and saved queries, with optional OpenAI-powered natural language orchestration and audit logging.
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    Provides Model Context Protocol access to the Dynatrace platform API, letting AI agents run live queries against observability, security, and platform data and manage a Dynatrace environment. It is hosted remotely by Dynatrace, so MCP hosts can add it by name from the official registry without installing anything.
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    A remote, Dynatrace-hosted MCP server that gives AI agents live API access to your Dynatrace environment. It enables querying and analyzing observability, security, and platform data — such as DQL queries, logs, traces, problems, and dashboards — so agents can act on production context instead of static knowledge.
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    Enables Claude to inspect and manage Docker containers locally, including listing containers, fetching status and logs, and checking system health. It also supports safely restarting whitelisted containers through a two-step confirmation flow with an audit trail.
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    Session replay and click heatmaps for AI agents. Read a site’s visits as timed narratives, find repeated or dead clicks and the JavaScript errors behind them, and measure the impact of shipped changes.
    977 npm
    2
    MIT
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    Gives AI agents read-only access to production NATS and JetStream event buses through twenty-five bounded, schema-typed tools covering message search, dead-letter inspection, causal flow reconstruction from a request or correlation id, and stream, consumer, KV, object-store and server-health topology. Because the runtime is wired only to read paths and every result is limited, cursored and truncation-flagged, agents can debug live traffic without any ability to mutate it.
    Apache 2.0
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    Exposes Colber's five integrated services (Reputation, Memory, Observability, Negotiation, Insurance) as 27 MCP tools for AI agents, enabling trust, coordination, and continuity.
    Apache 2.0
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    A unified MCP server for Rapid7's security platform, exposing InsightVM (vulnerability management), InsightIDR (SIEM/investigations), and Metasploit Pro (pentest telemetry) as tools for Claude, Cursor, and any MCP-compatible LLM client.
    6
    MIT
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    Enables LLM clients to manage Uptime Kuma HTTP(S) monitors, groups, tags, and notifications, and to retrieve heartbeats, stats, and incident history through MCP tools.
    MIT
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    Exposes the Swarmia Export API as tools for AI assistants to query engineering metrics through natural language. It enables retrieval of DORA metrics, pull request cycle times, investment balances, and FTE effort reports.
    2
    MIT
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    Enables MCP clients to query seeded logs, latency/error-rate metrics, and alerts for five fictional microservices over a remote StreamableHTTP endpoint, with bearer-token access control.
    MIT
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    A terminal live-tail and a browser dashboard — one process, one event stream, served from localhost. Unified timeline across Claude Code, Codex, Gemini CLI, Cursor, Hermes, and OpenClaw. Token + cost accounting, compaction + anomaly detection, hybrid search, SVG call graphs, monaco-style diff attribution, agent-aware replay ("what would the agent say if I edited the prompt?"), policy editor, MCP s
    37 npm
    17
    MIT
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    An MCP server on AWS Lambda that gives AI assistants read-only access to SQS dead-letter queues and CloudWatch logs for fast incident triage.
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