Sage

@antv/mcp-server-chart is a TypeScript-based server that enables AI assistants to generate data visualizations using AntV's charting capabilities. Developed by the AntV Visualization Team, it implements the Model Context Protocol to provide a standardized interface for creating various chart types from data. The server exposes chart generation functionality that can be accessed through MCP tools, making it particularly valuable for applications that need to produce visual data representations through conversational interfaces without requiring direct knowledge of visualization libraries.

Provides AI assistants with on-demand access to 141 documentation pages, 283 code examples, and 1,098 class API references for amCharts 5. Instead of loading the entire reference into context, the server lets AI query exactly what it needs — specific chart type references, code examples, or API lookups. Supports searching docs, browsing examples by category, and retrieving quick-start templates for any chart type.

CAFE provides AI agents with access to Dangamsoft's classical East Asian knowledge engine for Korean Saju (Four Pillars of Destiny) analysis. Five tools cover full Saju chart generation from birth date and time, five-element (Ohaeng) balance scoring, Gyeokguk pattern classification, Yin-Yang Johu harmony assessment, and Yongshin candidate determination. The underlying engine combines classical theory with machine learning, achieving 91.1% accuracy on five-class Yongshin classification.

Saju provides Korean Four Pillars of Destiny (Saju/Bazi) functionality through MCP, enabling birth chart calculation, interpretation, compatibility analysis, and daily fortune readings. The server requires a SAJU_API_KEY for access and is distributed as an npm package.

Astral provides astrology data tools for AI agents, including birth chart generation, planetary position queries, transit analysis, and natal chart interpretation. Uses ephemeris data for accurate astronomical calculations.

MCP Excel Server provides a robust interface for Excel file operations and data analysis through the Model Context Protocol. Developed by yzfly, it enables AI assistants to read, write, and analyze Excel files in various formats (XLSX, CSV, TSV, JSON), offering tools for statistical analysis, data filtering, pivot table creation, and visualization through charts and plots. The server leverages pandas, numpy, matplotlib, and seaborn to perform operations like summary statistics, data quality assessment, and visualization export, making it particularly valuable for data analysis workflows where users need to extract insights from spreadsheets without manual manipulation.

Full-featured integration with Apache Superset providing 128+ tools covering dashboard management, chart operations, database connections, dataset handling, SQL Lab queries, user and role administration, Row Level Security, and asset export/import. Includes built-in safety validations with confirmation flags for destructive operations and DDL/DML blocking. Supports JWT authentication with auto-refresh and CSRF handling, and offers streamable HTTP, SSE, and stdio transports.

Integrates with the Chart Library visual pattern search engine to analyze stock chart patterns across 15,000+ symbols and 10 years of historical data. Provides tools for pattern matching using ML embeddings, forward return analysis, and market regime identification to support data-driven financial research.

ng-blatui is an Angular UI component library offering 155 components, 16 blocks, 70 charts, and 34 page templates built with Angular signals, zoneless change detection, and Tailwind CSS v4. The MCP server exposes component search and typed API lookup for AI agents, enabling AI-assisted Angular development with the library. Components are WCAG AA accessible, SSR-ready, and implement ControlValueAccessor for both reactive and template-driven forms.

Diagrams generates cloud architecture diagrams, flowcharts, and sequence diagrams from structured descriptions using the Python diagrams library. Both a remote hosted endpoint and a local PyPI package are available. The server supports major cloud providers including AWS, GCP, and Azure for architecture visualization.

PMControls MCP Server routes project management calculations through the validated pmcontrols library, ensuring deterministic and auditable results for AI-assisted project planning. The server exposes tools for critical-path method (CPM) analysis, PERT scheduling, schedule compression techniques, and earned value management (EVM) computations. Each calculation includes provenance tracking with version, input hash, and timestamp. Visualizations including Gantt charts and S-curves can be generated on demand. Available on PyPI as pmcontrols-mcp.

Provides AI agents with access to the BlatUI component library — a shadcn/ui-inspired collection of Blade, Laravel, Alpine.js, and Tailwind CSS components. Enables discovery, reading, and installation guidance for UI components, blocks, and charts via a hosted MCP endpoint.

The TradingView Chart MCP server enables AI assistants to capture and share TradingView chart images directly through a Selenium-based scraper. Developed by ertugrul59, this implementation authenticates with TradingView using session cookies, navigates to specific chart layouts with customizable tickers and timeframes, and captures screenshot links that are converted to direct image URLs. The server exposes both a primary tool for fetching chart images and several prompt templates for natural language interaction, making it valuable for traders, analysts, and financial advisors who need to quickly reference and share market charts without leaving their conversation context.

An AI-powered diagram and prototype generator MCP server built by SimonUTD that integrates with multiple AI providers (ZhipuAI, OpenAI, Gemini) to automatically generate architecture diagrams, flowcharts, and mobile app prototypes. Features specialized prompt templates for different diagram types including system architecture, Apple mobile prototypes, WeChat mini-apps, and common UI prototypes, with configurable AI model selection and token limits. Designed for developers, architects, and designers who need rapid visual prototyping and diagram generation capabilities integrated into their workflow.

An Apache ECharts MCP server that generates data visualization charts by accepting minimal parameters from LLMs and returning cloud-hosted image URLs. Built by the Apache ECharts team, it takes a focused approach requiring only chart type, data, title, and series name rather than full ECharts configuration objects, ensuring stable and consistent results across eight supported chart types including bar, line, pie, scatter, funnel, tree, treemap, and sunburst. The server renders charts server-side using HTML5 Canvas, uploads images to Baidu Cloud Storage, and returns accessible URLs, making it valuable for creating publication-ready visualizations in AI workflows without requiring users to understand complex charting APIs.

This D2MCP server by Yasushi Itoh provides AI assistants with direct access to D2 diagram creation and rendering capabilities, integrating with Terrastruct's D2 declarative diagramming language to generate SVG, PNG, and PDF outputs. The implementation supports 20+ built-in themes, programmatic diagram creation with in-memory storage, and file-based operations for persistent diagram management, using external tools like rsvg-convert or ImageMagick for non-SVG format conversion. Built with clean architecture patterns and comprehensive error handling, it enables natural language diagram generation workflows where users can create technical diagrams, flowcharts, and architectural visualizations through conversational interfaces without directly writing D2 syntax.

A comprehensive MLB statistics MCP server built by Ethan Weisberg that provides access to baseball data through the MLB Stats API and pybaseball library, enabling retrieval of Statcast data, FanGraphs statistics, Baseball Reference records, and advanced analytics. The implementation includes tools for player lookups, team statistics, standings, schedules, prospect data, and specialized plotting functions that generate base64-encoded matplotlib visualizations including strike zone plots, spray charts, and batted ball profiles. Features a Next.js client application with OpenAI integration for AI-powered baseball analysis, making it useful for sports analytics, player performance evaluation, team comparisons, and generating data-driven insights about MLB players and teams.

ArtifactHub MCP Server provides a bridge to Artifact Hub's Helm chart repository, enabling AI assistants to interact with Helm charts through five specialized tools. It allows retrieving chart information, accessing default values.yaml files with fuzzy search capabilities, and exploring chart templates with context-aware searching. Built with TypeScript and packaged as a Docker container, this implementation makes it particularly valuable for Kubernetes administrators and developers who need to quickly reference, search, or analyze Helm chart configurations without leaving their AI assistant conversation.

An MCP server that bridges Claude to TradingView Desktop using the Chrome DevTools Protocol for local automation. Provides 81 tools for controlling charts, writing and executing Pine Script, managing watchlists and scans, controlling replay mode, setting alerts, and streaming live market data. Operates entirely locally — no data leaves the machine. Uses stdio transport.

Aster Finance API integration that provides comprehensive access to cryptocurrency futures trading data through 12 specialized tools for market analysis and monitoring. Built by kukapay, the implementation connects to the Aster Finance API (fapi.asterdex.com) to fetch kline/candlestick data, index and mark price information, premium index data, funding rates, 24-hour price statistics, order book data, and recent trades across various trading pairs. All data is returned as formatted Markdown tables using pandas for processing, making it valuable for traders and analysts who need real-time crypto derivatives market data for technical analysis, risk management, and automated trading strategies without manually interfacing with the exchange API.

Complements the official W&B MCP server with advanced analytical capabilities including hyperparameter importance ranking with R² metrics, sweep summaries combining best and worst run analysis, structured run comparisons, and regression detection using z-tests against baseline runs. Generates Plotly charts exported as inline base64 PNG images. Supports relative-date filtering, optional run and sweep actions via --enable-actions flag, local stdio and HTTP bearer-token transports, and OpenTelemetry observability. Requires Python 3.11+.

This MCP server provides Excel file manipulation through the Spire.XLS library, enabling AI assistants to create, read, modify, and convert Excel workbooks without requiring Microsoft Office installation. Built by E-iceblue using Python with comprehensive Excel operations including data reading/writing, formula application, chart creation, pivot table generation, cell formatting with conditional formatting support, worksheet management, and file conversion to multiple formats (PDF, HTML, CSV, images, XML). The implementation features intelligent header detection for data imports, extensive styling capabilities with fonts/colors/borders, autofilter functionality, JSON import/export, and shape image extraction, making it valuable for data analysis workflows, report generation, dashboard creation, and any automation requiring robust Excel file processing with high-fidelity format conversion capabilities.

This MCP server provides Microsoft Dataverse integration with advanced MCP features including Elicitation, Sampling, and Resources for enterprise data operations. Built with ASP.NET Core and .NET 9.0, it offers FetchXML query execution with intelligent result handling that prompts users to save large datasets (>20 records) as MCP Resources, uses MCP Sampling to transform raw JSON into markdown tables, and includes bulk contact creation with progress notifications plus Chart.js report generation. The implementation demonstrates sophisticated MCP capabilities through interactive user prompts for decision making, LLM-powered data transformation, and dynamic resource creation, making it valuable for developers working with Dataverse environments who need AI-assisted data analysis, reporting, and bulk operations with real-time progress tracking.

TradingView AIBridge is an MCP server that bridges TradingView Desktop to Claude and other AI clients using the Chrome DevTools Protocol. It exposes over 25 tools for reading live chart data, controlling chart display, managing Pine Script indicators, creating drawings and alerts, and running backtests via the replay engine. The server includes Korean trader-specific features such as automatic Upbit and Bithumb symbol recognition and kimchi premium calculation, as well as Windows MSIX package support.

MCP server enabling Claude to interact with Apple Freeform's diagramming application on macOS Sequoia or later. Allows creating diagrams, flowcharts, and mind maps by drawing shapes, connectors, and text, as well as reading existing boards via screenshots and manipulating objects through movement, deletion, grouping, and alignment. Controls Freeform through simulated mouse and keyboard input since no official API exists.

Renders interactive Chart.js charts and dashboards inline in AI conversations.

Serves ECharts documentation as a knowledge base for chart configuration and visualization guidance. Contains structured documentation files for reference during chart creation workflows. Built with Python.

Multi-tool MCP server implementation for the PuchAI Hackathon that combines Reddit content analysis with personal productivity features and data visualization capabilities. Built by datavorous, the implementation includes a Reddit scraper that searches recent posts across multiple subreddits using fuzzy keyword matching and calculates engagement intent scores based on upvotes, comments, velocity, and author karma to identify high-potential posts for market validation and sentiment analysis. Features comprehensive TODO list management, user preference storage for personalized AI interactions, and chart generation tools that create bar and line charts with custom styling, fonts, and data visualization options, making it valuable for entrepreneurs and researchers who want to monitor Reddit discussions for business opportunities while maintaining organized workflows and generating visual reports.

Provides real-time Hyperliquid perpetual market data including order books, prices, funding rates, open interest, and candlestick charts. Uses x402 micropayments for per-request billing. Deployed on Railway with a hosted endpoint.

Provides access to Campfire's AI-first ERP platform for finance and accounting teams. Supports core accounting operations including chart of accounts, transactions, journal entries, and entity management, as well as financial reporting such as income statements, balance sheets, and cash flow statements.

Canvs provides a collaborative whiteboard platform for creating diagrams, mind maps, flowcharts, wireframes, and other visual content. The platform supports real-time collaboration, unlimited free boards, offline-first functionality, and export to PDF, PNG, JPEG, and SVG formats. It includes drawing tools, templates, presentation mode, and facilitation features like timers and voting.

Discover Lake Michigan charter captains and boats, check availability, get quotes, and book directly from AI. Charter Captain is a marketplace connecting anglers with fishing and sightseeing charters on Lake Michigan.

Hosted chart rendering service for AI agents that generates styled charts as persistent hosted URLs. Supports 16+ chart types and 20+ themes. Returns an inline image and embeddable URL for use in markdown, emails, Slack, and documentation. Anonymous mode available; API key unlocks higher quotas and removes watermarks.

CodePic enables AI agents to create, edit, and export professional diagrams including flowcharts, wireframes, and system architecture visualizations using a hand-drawn canvas interface. Diagrams can be shared and stored through the CodePic cloud platform at codepic.cc.

Provides natural language stock screening across 11,000+ US equities with support for 35+ technical indicators, 20+ fundamental metrics, and chart pattern detection including support/resistance levels, trendlines, and channels. Includes historical OHLCV data retrieval and symbol search.

The Org Transport Protocol MCP server enables AI assistants to query cross-organizational knowledge — including best practices, network learnings, publishing organizations, role-specific rules, and agent org charts — with no account required. Ten tools support semantic search and retrieval across organizational knowledge networks, connecting to the orgtp.com API backend.

Game Industry Library provides searchable access to a curated library of 300+ game industry research reports. It supports hybrid search across reports with extractable claims, charts, and citations, enabling AI agents to retrieve and reference game industry analysis. Connects to the gameindustrylibrary.com platform via a stdio bridge.

Web-based Gantt chart application with native MCP support for AI-driven project scheduling. Enables reading and writing tasks directly from Claude Desktop or Claude Code using natural language commands. Includes a MCP Calculation Engine for critical path analysis and impact propagation with server-computed precision. Supports drag-and-drop task management, dependency tracking, team sharing, and export to Excel or PDF.

Human Design provides chart calculation and interpretation for the Human Design system, a synthesis of astrology, I Ching, Kabbalah, and Chakra traditions. The MCP server exposes tools for generating personal charts and exploring how one's design influences decision-making and relationships.

Reads and interprets PostgreSQL EXPLAIN plans for AI agents, surfacing query bottlenecks, row-estimation errors, and suggested fixes. Presents the analysis with charts so agents can diagnose and improve query performance.