"Official Atlassian MCP Server by Atlassian" matching MCP servers:

It enables AI assistants to execute SQL and explore databases, retrieve schemas, metrics, and overviews, and generate Plotly charts directly from query results.

Enables AI assistants to execute SQL, explore database schemas and sample data, inspect system metrics, and generate Plotly charts from query results.

It bridges AI assistants and StarRocks databases, enabling direct SQL execution, database/schema exploration, system metric access, detailed table/database overviews, and Plotly chart generation without complex client-side setup.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

A demo MCP server that returns an interactive dashboard (bar chart with dataset selector) as an MCP App via the official MCP Apps extension (SEP-1865).

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Official draw.io MCP server: create diagrams from Mermaid, XML or CSV, shown inline in Claude, ChatGPT, VS Code and Cursor or opened in the draw.io editor. Searches 10,000+ shapes.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

Ask Claude, Codex or another AI assistant about your Garmin training, and get a training dashboard, also inside the chat. Official Personal API, read-only, nothing to install.

Enables MCP clients to teach on a view-only local browser chalkboard by drawing equations, plots, molecules, diagrams, and science illustrations step by step, with snapshots and saved lessons.

Enables AI agents to drive the kepler.gl demo map by loading data, adding and recoloring layers, changing basemaps, applying time filters, and toggling split views through MCP.

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Visualizes conversations as structured hierarchical mind maps by injecting a prompt that instructs the LLM to generate a JSON mind map — no external APIs required.

Enables AI to analyze trade quality by fetching real price action around fills, generating annotated candlestick charts, and computing metrics like MAE/MFE, R-multiple, and capture efficiency.

An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.

Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.

Creates Tableau workbooks from a declarative JSON spec, validates them by opening in the installed Tableau Public application, and publishes to Tableau Public through the desktop UI.

Enables an AI assistant to read a creator's own channel analytics, audience and traffic breakdowns, retention curves, revenue, impressions/CTR and comments locally through the official YouTube APIs, and to assemble media-kit snapshots and render ready-to-use charts. Editing features such as video updates and comment moderation are opt-in and read-only by default.

Enables agents to explore and operate Grafana by searching and reading dashboards and folders, querying datasources such as Prometheus, Loki and SQL, and inspecting alert rules and annotations. Its safe-by-default access modes gate dashboard and folder creation, editing and deletion behind escalating permission levels.

Enables users to generate volcano plots by submitting jobs with input files and parameters, supporting local or Docker execution.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

Enables Claude Code and other processes to control the lys interactive multi-dimensional data analysis and visualization platform by executing Python commands in it and viewing the resulting lys and matplotlib graphs. It connects over a local socket or TCP to a lys instance running in remote mode.

Lets coding agents load toolsets by name to drive a local browser-based viewer for ROS 2 robots, including displaying lidar/map data and plotting odometry, through a token-protected local connection without writing to the robot.

Enables MCP clients to connect through OAuth 2.1/PKCE to a hosted trading-assistant surface for read-only system context, intelligence, risk-preview, advisory, and charting data, with scoped chart, write, and execute capabilities gated by account entitlements and confirmation flows.

Enables AI assistants and teams to collaborate in a shared workspace by building and querying tables, writing documents, uploading files, and publishing live dashboards through any MCP-compatible client.

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.

Enables natural-language questioning of CSV datasets by loading tables, listing columns, computing aggregates, suggesting ECharts visualizations, and returning grounded voice-style answers through MCP tools.

Enables AI agents to build and modify reports, connect BigQuery, Google Sheets, and GA4 data, arrange charts and pages, check for data errors, and export or restore versions by using Playwright to call the editor's internal APIs instead of simulating clicks.

Enables AI agents to visualize tasks on a collaborative Sketchbord whiteboard by composing content into diagrams, editing them incrementally, and reading back the board including user-drawn additions.

Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.

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 AI agents to read and manipulate networks, tables, visual styles, and more in a live Cytoscape Web session through natural language, by connecting over Chrome DevTools Protocol.

Enables users to build and modify Power BI report pages, visuals, themes, filters, and formatting from natural language by reading and writing PBIR project files locally.

Launches/connects to the visible draw.io desktop editor and edits its active graph model in real time, allowing AI agents to draw scientific figures step by step.

Enables scoring and statistical analysis of WHOQOL quality-of-life questionnaires using official WHO rules, including data quality checks, psychometrics, group comparisons, APA-ready tables and figures, and draft methods/results text.

Interactive UI for Monarch Money inside claude.ai, running on Monarch's official OAuth. Provides interactive widgets for transactions, spending, and accounts with inline editing and broad data-tool coverage.

Enables merchants to generate charts and read-only insights from their food-delivery store inside AI assistant chats, covering sales, payouts, average ticket, fees, menu mix, and ratings through the official API.

Enables AI agents to produce brand-compliant dashboards by emitting validated JSON specs instead of raw HTML/CSS, which the server renders automatically while cutting token usage.

Enables AI agents and terminal users to query running telemetry stored in SQLite through deterministic tools for interval segmentation, activity summaries, kilometer splits, aerobic decoupling and HR recovery metrics, plus chart generation and safe read-only SQL access. It keeps responses compact by decompressing and computing against raw sensor streams instead of loading them into the context window.