"Improving React Native Development Experience" matching MCP servers:

Enables an MCP client to inspect and edit native GraphPad Prism documents on macOS, including two-group column tables, descriptive analyses, violin and companion graphs, linked layouts, and exports to PDF, SVG, PNG, or CSV. It also records operation status, serializes mutations, and supports recovery workflows for uncertain native executions.

Enables creating and editing PowerPoint .pptx files without corruption, with native editable SVG shapes, glued connectors, table surgery, threaded comments, live editing, and a comprehensive 138-tool MCP server surface.

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

MCP server that opens a native desktop window to display rich content (Markdown, HTML, Mermaid diagrams, images) with real-time updates via SSE.

Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).

Turns a local CSV or XLSX table into a full analysis report — summary statistics, duplicate and missing-value diagnostics, top category frequencies, significant pairwise correlations, a Markdown insights writeup, and an Excel workbook with native interactive charts — entirely offline with no uploads, API keys, or pandas dependency. It runs over stdio or streamable-http behind a free anonymous tier that returns an in-band quota signal rather than silently billing.

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

Enables AI to create and manage Apache Superset dashboards, including adding charts and native filters from datasets.

A local Python MCP server for AI-assisted development of Yandex DataLens dashboards, enabling inspection, planning, validation, and guarded application of changes.

Enables building wire-connected native schematics, visually checking them, editing values, and running native frequency/transient analyses plus symbolic formulas and plots, with results saved as CSV/PNG and openable in the separately installed application.

Enables AI agents to perform real Wolfram Language computation, create and edit native .nb notebooks and figures, export data, and independently verify results through a stdio MCP interface.

An MCP-native workspace where AI pushes discoveries into a live GPU-rendered graph, preserving project structure and findings across sessions.

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

Enables Codex to send structured data and render compact canvas artifacts beside native answer text on Even Realities G2 glasses, using authenticated stdio or Streamable HTTP transport with strict schemas, revisions, expiry, and delivery receipts.

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

Enables AI agents to control the Veusz native editor to create and adjust editable scientific plots, sync changes live in the desktop window, preserve manual refinements, and export projects or images.

Enables AI assistants to scan and analyze disk usage through tools for top entries, folder drill-down, searches, old large files, extension summaries, comparisons, and treemaps, with Windows CSV export support and macOS native metadata scanning, including corrected Simplified Chinese exports.

Enables AI-native statistical analysis and reproducible research workflows through MCP, including natural language planning, protocol-based analysis, Python/R cross-validation, and publication-ready figure generation.

A full-feature MCP server that serves as a product-development copilot, providing RAG search, SQL queries, and inline chart visualizations from seeded product data, with per-user identity and its own OAuth login.

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.

Enables AI agents to inspect and measure live crypto charts, read indicator and market-structure data, add native indicators, and create editable annotations through a local MCP bridge.

Enables AI agents to drive a persistent, isolated ParaView session for scientific visualization: creating and editing spheres, clipping with planes, importing single-file VTI/VTP/VTU datasets, extracting contours, exporting verified datasets, saving native PVSM states, and rendering display-backed PNG previews. All operations are confined to a single operator-owned workspace on a Linux-only, display-backed host, with no attachment to existing GUI pipelines.

Enables MCP clients to perform native hull model I/O, Lackenby transformation, section generation, hydrostatics calculations, DXF linesplan export, and CSV/XLSX reporting on Windows without desktop automation.

MCP server for MetricUI — a React dashboard component library. Provides AI coding tools with full API references, working examples, format suggestions, prop validation, and complete dashboard scaffolding for building analytics UIs.

Enables AI agents to create, format, and verify Google Sheets with native tables, themes, validation, linting, rendering, and safeguards for human-edited spreadsheets.

Enables AI assistants to control and read data from TradingView Desktop, including morning briefs, chart analysis, Pine Script development, and replay mode.

A collection of Model Context Protocol implementations ranging from a minimal hello-world to an autonomous AI agent for software development.

Enables Claude to control and read from the TradingView Desktop app, providing automated morning briefs, chart analysis, Pine Script development, and replay mode.

Enables AI assistants to interact with locally running TradingView Desktop for chart analysis, Pine Script development, and automation via Chrome DevTools Protocol.

Enables agents to compile a semantic chart description (data, semantic types, chart intent) into native specs for five charting libraries and headlessly render three of them to SVG or PNG, delivered inline or as signed, expiring artifact URLs. It also exposes tools for validating charts, listing chart types and themes, plus resources and prompts that supply chart-authoring and theming conventions.