"Information about Repomix Architect" matching MCP servers:

Enables AI coding assistants to turn natural-language architecture and data descriptions into editable, auto-laid-out hand-drawn diagrams across 25 types, with natural-language revisions, SVG/PNG export, and an optional queryable architecture knowledge graph, fully offline without API keys.

Enables AI assistants to turn plain-language descriptions of systems, flows, and data into 25 kinds of fully laid-out, hand-drawn Excalidraw diagrams — architecture, sequence, ER, swimlane, Gantt, charts and more — with auto-styling for 50+ technologies and revision in natural language. Runs fully offline, exports to SVG and PNG without a browser or Node.js, and can optionally persist the architecture as a queryable knowledge graph.

Enables AI assistants to turn architecture descriptions, flows, and data into 25 types of auto-laid-out, hand-drawn .excalidraw diagrams that stay editable, with optional SVG/PNG export and a version-controlled knowledge graph the AI can query and lint. Runs fully offline in Cursor, Claude Code, and Windsurf with no API keys, and diagrams can be revised through natural language.

Enables AI coding assistants to turn architecture and engineering concepts into auto-laid-out, hand-drawn Excalidraw diagrams across 25 types, with natural-language revision and SVG/PNG export. Optionally persists systems as a queryable, version-controlled architecture knowledge graph while running fully offline without API keys.

Enables AI assistants to turn natural-language descriptions of systems, flows, and data into hand-drawn-style Excalidraw diagrams across 25 types—architecture, sequence, swimlane, ER, Gantt, charts and more—with automatic layout, architecture-aware styling of 50+ technologies, and export to SVG/PNG. It also lets users revise diagrams conversationally and optionally persist their system as a queryable, version-controlled architecture knowledge graph, all running fully offline with no API keys.

Enables AI coding assistants to turn natural-language descriptions of systems and data into editable, auto-laid-out Excalidraw diagrams across 25 types — from architecture and sequence diagrams to Gantt charts and scatter plots — plus optionally persist the architecture as a queryable, version-controlled knowledge graph. Runs fully offline with export to SVG and PNG, and diagrams can be revised afterward in natural language.

Lets an AI describe diagram structure in natural language and produces auto-laid-out, editable hand-drawn Excalidraw files across 25 diagram types, from architecture and sequence diagrams to ER models, swimlanes, Gantt charts, and scatter plots. Runs fully offline inside Cursor, Claude Code, and Windsurf with no API keys, and can revise diagrams or persist an architecture knowledge graph for querying and linting.

Enables AI assistants to turn architecture and data into living, queryable knowledge graphs and generate 25 types of hand-drawn, auto-laid-out diagrams that remain editable. It supports natural-language revisions, architecture-aware styling, SVG/PNG export, and fully offline use without API keys.

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

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.

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

Enables ChatGPT users to explore a read-only US Census county atlas through MCP tools: select a county, ask questions about it, look up real Census town and place anchors, render voxel-style county maps with pan/inspect/pin interactions, and keep session-only notes in the chat. Covers the playable Riverside/Eastvale slice plus generated maps for all 3,222 supported counties, with honest labeling of generated geography outside the curated area.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Enables natural-language queries about sales metrics, returning interactive charts inline in chat via MCP Apps with a markdown fallback for unsupported hosts.