"Information about Dynatrace (monitoring and observability platform)" matching MCP servers:

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

Enables querying Tableau lineage through the Metadata API via MCP, supporting impact analysis, where-used lookups, and content search. Provides read-only tools for answering natural-language questions about workbooks, datasources, fields, and dependencies.

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

A production-grade MCP server that exposes Tableau Server/Cloud as a BI platform, enabling project, workbook, data source, user, group, job, lineage, and export operations via natural language, with role-based permissions and token optimization.

Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.

Connects AI clients to the Matih data platform, enabling SQL queries, table profiling, analytics, chart creation, and file uploads through MCP tools with OAuth/PKCE authentication.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Consolidated MCP server exposing 161 tools across 9 groups to manage a layered data platform (financial, economic, statistical) backed by a single SQLite file, with data fetching delegated to an upstream semantic fetcher.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

Enables AI assistants to fully manage the analytics platform through comprehensive tools for dashboards, cards, databases, and tables.

Enables transforming grounded AI answers into interactive information views such as comparisons, plans, checklists, timelines, and decision views, while preserving a plain-language fallback.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

clariBI is an AI-powered business intelligence platform that lets SaaS and ecommerce teams ask plain-English questions across Stripe, HubSpot, Google Analytics, ad platforms, and 30+ other sources. The AI engine picks the right visualization from 24 chart types and generates dashboards automatically.

A stateless MCP server that generates interactive report widgets and survey builder UIs, using MCP Apps for rich visualizations and long-polling for live updates.

Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.

Enables AI assistants to perform electronic circuit power tree analysis, including opening projects, solving margins, validating designs, editing elements, managing waivers, and exporting reports.

Enables AI agents to perform Black-Litterman portfolio optimization with investor views, backtesting, and asset analysis, generating dashboards for visualization.