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"Creating PowerPoint presentations in custom design" 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.
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    MIT
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    Voice-powered bug reporting MCP server with 13 tools. Captures console logs, network errors, DOM traces, and developer voice descriptions. AI reads structured reports to find and fix bugs automatically. Chrome Extension + Python CLI.
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    MIT
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    Enables fetching and analyzing Toggl time tracking data with intelligent parsing of Fibery entity references from task descriptions. Features smart caching, user filtering, and aggregated reporting to help track time spent on specific projects and entities.
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    Exposes 106 ManageEngine Endpoint Central REST API endpoints as MCP tools for patch management, vulnerability management, inventory, and more, integrated with Gemini Enterprise via Zoho OAuth 2.0.
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    An MCP server that monitors 12 Australian SMB intelligence sources to analyze market signals and provide structured data for content strategy agents. It enables users to track regulatory changes, AI trends, and business data through automated signal grading and Slack integration.
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    An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.
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    2
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    Enables users to access and manage Savri analytics data, including visitor statistics, traffic sources, and conversion funnels, directly within Claude. It supports tracking custom event properties and creating multi-step conversion goals through natural language prompts.
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    Enables comprehensive Opsgenie alert management including listing, creating, acknowledging, and closing alerts, as well as managing alert notes, logs, and custom properties through natural language.
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    MIT
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    An MCP server for retrieving and filtering logs from Mezmo with a quota-conscious design and intelligent defaults. It enables users to discover and query logs by application, level, and custom time ranges to streamline debugging while minimizing API usage.
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    A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).
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    MCP server for Drumbeats monitoring. Enables creating monitors, triaging incidents, and running HTTP/SSL/DNS checks using natural language from any AI client.
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    Apache 2.0
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    Enables managing and debugging Azure Logic Apps through natural language, with tools for listing, debugging, creating, updating, and deleting workflows.
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    An MCP server that tracks Ethereum’s validator activation and exit queues in real time, enabling AI agents to monitor staking dynamics and network participation trends.
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    MIT
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    Enables Claude to read and control Veeam Backup & Replication infrastructure through natural language, supporting full operator capabilities like starting/stopping jobs, creating backups, and monitoring threat detection via the VBR REST API.
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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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    MIT
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    Bridges AI agents to the Lenx.ai social media monitoring API, enabling task management like listing, creating, and exporting monitoring data.
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    MIT