"How to use Canva" matching MCP servers:

Render hierarchical system diagrams as PNGs from YAML definitions using a four-level ontology of networks, factories, machines, and nodes.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Enables AI assistants to render Mermaid.js diagram syntax into crisp, high-resolution PNG images across 37+ diagram types, with built-in tools for discovering supported diagrams, retrieving exact syntax guides, and returning the rendered image for inline inspection.

Enables to read, write, format cells, create charts, use formulas, and manage Google Sheets spreadsheets directly from Claude, Cursor, or any MCP-compatible client.

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 AI assistants to compile distribution feeders, run power flow, voltage and thermal violation checks, short-circuit and Thévenin impedance studies, hosting capacity and QSTS analyses, and add or edit elements, through 20 typed tools that return structured JSON or Markdown with the inputs that produced the results.

Enables agents to build and manage family trees, derive how people are related, and export diagrams or GEDCOM/HTML files through structured tools.

Lets an MCP client read PX4 SITL .ulg logs and answer why a flight failed or underperformed — failsafes, arming reasons, estimator validity versus simulator ground truth, and how late PX4 followed offboard velocity setpoints. It also lists, searches, scans and plots topics, messages and parameters across logs, replacing hand-written pyulog scripts.

Enables AI agents to drive TradingView Desktop, switch through a layout's symbols, and export each chart's rendered image, CSV data, and indicator details to local files, which they can then read in part or crop on demand. It runs jobs in a background process that does not consume agent tokens and keeps only the current day's output, leaving symbol choice, analysis, and use of the data to the caller.

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control QGIS for project creation, layer loading, code execution, and more.

A local MCP server that lets Hermes Agent use Octane X as a shared visual canvas for geometry, data, math, and concept visualization.

Exposes a broad mathematics toolkit including symbolic algebra, calculus, numerical methods, linear algebra, statistics, discrete math, graph theory, rendering, and optional GPU acceleration via MCP tools for use with Claude Desktop and other MCP hosts.

Enables MCP-compatible agents to render privacy-first, deterministic Chart.js charts locally as PNG, SVG, PDF, or JSON, with configurable Sotheby's-inspired editorial themes per session.

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.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

Enables AI assistants to access and manage Metabase analytics through 96 tools for dashboards, cards, databases, tables, collections, and query execution.

Enables users to prepare and validate market data, launch and control backtests, and retrieve results, causal explanations, and self-contained reports through stdio tools. It also supports polling or canceling jobs and running sweep, walk-forward, factor, and study research workflows with bounded pagination and reproducible artifacts.

A standalone stdio MCP server that exposes 13 resources, 3 prompts and 7 tools for assembling interactive, replayable HTML interfaces such as calculators, charts, maps, flowcharts and small apps. It returns the generated HTML document for the calling client to decide whether and how to display.

Enables AI assistants to fully manage the analytics platform through comprehensive tools for dashboards, cards, databases, and tables.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

MCP server for rendering Mermaid diagrams and generating source-code diagrams, with tools to render text/files and produce dependency/class diagrams.

MCP server for managing Google Sheets via 23 tools, enabling read/write, formatting, sheet management, and data operations through natural language.

Enables AI assistants to build and revise visual goal plans, compare competing routes, model possible futures and forecasts, track progress, and re-plan as circumstances change through MCP tools.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.

Enables AI assistants to perform electronic circuit power tree analysis, including opening projects, solving margins, validating designs, editing elements, managing waivers, and exporting reports.

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

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.

A suite of developer primitives that enable AI applications to integrate with Tableau, including tools to query data, explore content, and get views.

Enables MCP clients to create and manipulate Excel workbooks programmatically, including sheets, cell data, formatting, formulas, charts, and pivot tables.

Enables agents to present replies as interactive, validated UI trees rendered as MCP Apps—such as checklists and data grids—without requiring another LLM call.

Enables interaction with Metabase through its API, allowing users to list cards, databases, collections, execute queries, and create cards or bookmarks.

Enables AI assistants to create interactive charts, diagrams, and tables displayed on a real-time dashboard, supporting multiple data sources with privacy-focused local execution.

Enables AI assistants to interact with Metabase's analytics platform, managing dashboards, cards, databases, and tables via the Model Context Protocol.

Enables AI agents to run a full QFD session over the Model Context Protocol: build and edit a House of Quality (stakeholder needs, measurable characteristics, relationship cells, trade-off roof, work items), validate it, and read back priorities, gates, the diagonal build order and item progress. It also exports the house as TSV, CSV, JSON, SVG or an Excel workbook, with optional file persistence so a person can keep editing where the agent left off.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.

Provides a remote design engine for AI clients to create app screens, icons, illustrations, and charts as clean SVG, saved to SVG Lab projects and exportable as SVG, PNG, or PDF.

Enables an AI assistant to connect to and control Rigol DHO900-series oscilloscopes over VISA, configure acquisition, trigger, channels and timebase, use the built-in waveform generator, capture screenshots, measurements and waveform data, and assemble and export test reports as DOCX or HTML.

Enables Claude to interact with Sleeper fantasy football leagues via MCP tools for roster, waiver, matchup, and transaction queries, plus a dashboard for daily reports, live scoring, and game-day alerts.

TypeScript Streamable HTTP MCP server for Beancount double-entry ledgers, including BQL, reports, files, imports, and dry-run previews. The public monorepo includes the implementation and a full-stack Docker Compose self-hosting guide.

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.