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"Generating PowerPoint slides from Power BI datasets in folders" matching MCP servers:

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    Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
    18
    MIT
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    An AI-powered Power BI dataset health monitor that connects Claude to a simulated Power BI tenant for running health checks, diagnosing failures, and prioritizing fixes.
    MIT
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    Enables data observability operations with the Sifflet platform. Supports exploring assets, monitors, incidents, generating monitor-as-code YAML from descriptions, and performing impact analysis.
    10
    7
    MIT
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    An MCP server that enables AI agents to query real-time NVIDIA GPU metrics like utilization, memory, temperature, and power without external monitoring tools.
    14
    Apache 2.0
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    MCP server for Grafana enabling management of dashboards, datasources, alert rules, folders, and annotations via stdio.
    37
    MIT
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    Enables AI agents to manage Dell PowerEdge servers via Dell OpenManage Enterprise (OME) REST API, providing tools for device inventory, power control, firmware updates, alert management, and compliance baselines.
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    Enables management of oVirt / Red Hat Virtualization environments via AI assistants, supporting VM lifecycle, power operations, snapshots, and infrastructure queries.
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    An on-call agent for data incidents, built on a bio-inspired context protocol. It triages data quality and freshness issues using DataHub, computing severity, blast radius, and ownership from the catalogue before generating prose.
    9
    Apache 2.0
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    An MCP server that enables AI assistants to interact with Tenzir, a data pipeline engine for security operations, including executing pipeline queries, managing OCSF schemas, and generating parsers.
    15
    Apache 2.0
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    Streams live progress from long-running MCP tool calls to any connected client. Instrument a tool call with mcp-telemetry-sdk, and telemetry_subscribe pushes its steps, logs, cost, and completion over notifications/progress — no polling, and a job started in one session can be watched from a different one.
    3
    12
    2
    MIT
  • A
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    Server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets.
    14
    2
    43
    MIT
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    Comprehensive MCP server for Langfuse, enabling AI assistants to access and manage traces, observations, scores, datasets, and sessions for observability.
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    MIT
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    An MCP server for managing MCP server registries with health checks, duplicate detection, and configuration portability. It helps prevent MCP sprawl by tracking server health, identifying overlapping tools, and generating portable configurations for different clients.
    7
    46
    MIT
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    Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.
    13
    131
    MIT