"React Query" matching MCP servers:

A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.

A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.

MCP server for the ESRU-EMOVI 2023 social mobility survey in Mexico. Enables AI assistants to query weighted statistics, transition matrices, and explore variables from the survey using natural language.

Query and manage Metabase dashboards, cards, and data via Claude

Enables AI assistants to query Oracle AI Database read-only, profile tables, and render result sets as PNG charts.

Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.

An MCP server that lets agents draw 18 diagram types from JSON (no SVG, no headless browser)

An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.

A MCP server for Metabase that gives AI assistants direct access to dashboards, cards, and query execution.

MCP server enabling AI agents to directly query and manage Power BI datasets, reports, and workspaces via DAX, with built-in data security policies and support for both Power BI Desktop and Service.

A unified MCP server that lets Claude query any SQLite database and build live Streamlit dashboards — all from a single conversation.

Enables AI agents to author and edit Power BI files locally (.pbix/PBIP), covering semantic models, reports, and Power Query M with 490 tools.

Enables AI assistants to create Evidence reports and dashboards by providing tools to query database schema, read documentation, edit pages, and debug code.

Local-first MCP server for Power BI Desktop automation. Automate semantic model changes, DAX, Power Query, Excel, and report layout from MCP-capable AI clients.

Enables AI assistants to access and manage Metabase analytics through 96 tools for dashboards, cards, databases, tables, collections, and query execution.

Enables AI agents to parse and query VCD/FSDB simulation waveforms, search signals, analyze AXI transactions, render ASCII timing diagrams, and check protocol compliance through structured MCP tools.

Exposes TensorBoard experiment data through a standardized MCP API, enabling AI coding agents to query and analyze scalars, tensors, histograms, distributions, and images from ML experiment logs.

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 clients to create, query and edit QGIS projects and vector data in an isolated, new headless PyQGIS process, exporting GeoJSON/GeoPackage, saving and reopening editable QGZ bundles, and rendering PNG maps through typed MCP tools. All operations are workspace-relative with strict path and geometry validation, and never attach to or modify a running QGIS desktop session.

Enables creating themed SVG maps, GeoJSON data, projections, React components, and embeddable map builders through natural language requests.