"Information about network devices" matching MCP servers:

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.

Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.

Enables AI agents to build freeform dashboards for e-ink panels by listing widgets and devices, laying out a canvas, rendering a preview, and pushing to the panel.

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

MCP server for air-Q air quality sensors, enabling querying and configuring devices on the local network.

Send structured content to selected boards on iOS and android devices via MCP server, route updates to specific panels, and render in real time with display-focused multi-panel layouts.

Google Search Console for Claude and other MCP clients. Sign in with Google in one click, then ask about clicks, queries, rankings and indexing, export every GSC report as CSV (beyond the 1,000-row UI limit), inspect URLs, submit sitemaps and verify sites. Includes a local SEO dashboard. Free, open source, runs on your computer.

A fully offline MCP server for generating 15 types of SVG charts, including line, bar, pie, and more, without any network dependency.

Enables local, private analysis of CSV and TSV files through natural-language agents such as Grok Bot and Cursor, offering file listing, profiling, SQL-like queries, summaries, group-bys, pivot tables, cleaning previews and generated charts. All computation happens on the user's own machine against an allowlisted folder, with no network calls, telemetry or data leaving the host.

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.

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

An MCP server that lets an AI assistant drive Epistemic Network Analysis models hosted on the webENA cloud service, enabling project listing, model running, and result visualization.

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 asking natural-language questions about WHOOP recovery, sleep, HRV, strain, and workouts inside Claude, Codex, and GitHub Copilot. Provides read-only tools, resources, and prompts for personal health analytics, along with HYROX and triathlon tracking and a local chart-first dashboard.

Enables users to ask questions about self-hosted or Cloud Umami Analytics through a secure, model-friendly Model Context Protocol interface, with read-only tools for traffic, conversions, revenue, sessions, events, reports, and performance investigations.

Enables AI clients to inspect and modify maps and scenes open in a locally running desktop GIS session through natural language, exposing 38 fixed tools for session and layer queries, fields, selection, visibility and renaming, symbology, transparency, camera and elevation, map switching, raster, layout export, whitelisted geoprocessing, and attribute editing. It routes stdio MCP calls through a Windows named pipe to a C# add-in, with no network ports and no arbitrary code execution.

Enables visualizing GeoJSON data on an interactive map directly in Claude Desktop, allowing users to request maps of information found or generated.

Provides local, deterministic Four Pillars (Bazi) chart calculation via MCP tools, with JSON and PNG outputs, no API key or network required.