"View React Documentation" matching MCP servers:

Provides tools and resources for building Essential Viewer XSL views using validated v2.0 patterns, including scaffold generation, API guidance, and bundled documentation.

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.

MCP server that lets agents create and update persistent concept maps via the NodeLand API, returning shareable URLs for humans to view, embed, and keep editing.

A Model Context Protocol server that provides a dynamic map interface with tools to add raster/vector layers, control map view, and modify paint properties.

Enables Claude Desktop to view and interact with the currently open QGIS project, including layers, styling, selections, Processing algorithms, attribute editing, and geocoding, all running locally.

MCP server that enables AI agents to recommend and generate charts from datasets using natural language, supporting 46 chart types and multiple output formats.

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

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

A lightweight MCP server for managing personal finances locally. It allows users to log transactions, view summaries, manage categories, and interact with their budget via any MCP-compatible LLM client.

MCP server for Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure management, refresh, .pbix-to-.pbip conversion, and PBIR visual editing.

MCP server for interacting with local Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure editing, and PBIR visual management via natural language.

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

Enables AI clients to render a workspace from a table by selecting an appropriate widget and DataProfile based on a user intent, then returning a chart view with a signed data link.

Provides MCP tools to validate Mermaid diagram syntax, render diagrams to SVG, and get documentation links.

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

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

Enables building dashboard widgets from natural-language instructions, returning a declarative UI spec for a Vue renderer. Supports chart-type selection via heuristics with LLM fallback for ambiguous cases.

Provides live earthquake data from the USGS feed, enabling users to query recent seismic activity and view interactive earthquake widgets within the chat.

Enables an AI assistant to describe a screen by its object and context and receive generated React or Vue code built from governed components and design tokens. It also renders charts from supplied data, produces receipts of static checks, and offers an optional tool that verifies contrast pairs and document accessibility rules across built brands and themes.

Renders Mermaid diagrams in an interactive viewer with pan, zoom, and split-view source editing, enabling LLM hosts to create and edit diagrams through natural language and synchronize updates back to the conversation.