"The official LinkedIn platform or related resources" matching MCP servers:

Enables MCP-compatible clients to query advertising data, analyze spend, conversions, and audiences, compare campaigns, generate dashboards, and manage campaigns with optional read-only safeguards.

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 reading and building Splunk dashboards via the management REST API, using SSO for permissions and supporting both Studio and Classic formats.

Validates and renders declarative JSON diagram specs to themeable SVG. The format has no coordinates, so a model writes structure and the renderer does the layout; tools: validate, render, kinds.

Enables rendering, validation, formatting, and inspection of D2 diagrams via the Model Context Protocol, using WASM for rendering without requiring the d2 binary.

Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.

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.

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

Enables agents to turn short specs, Mermaid, or CSV data into laid-out SVG diagrams and charts, and to validate and audit the result for overlapping labels, arrows through boxes, and spilling text before showing it to anyone. Exposes render, describe, validate, audit, export, and infer tools so drawings can be generated, checked, and converted to formats like PNG, PDF, draw.io, and Excalidraw.

Converts DataFusion physical execution plans into editable Excalidraw diagrams or PNG images via a single visualize tool.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

An MCP server that lets Claude or ChatGPT read, create, and edit mind maps stored in a GitHub repository, with support for local and HTTP transport.

Generate annotated post-trade candlestick review-chart PNGs from broker or exchange fills. Includes capability checks, no-charge preflight validation, and chart rendering; no signals or order execution.

MCP server for romaco-charts. Control your trading chart from Claude, Cursor, or any MCP-compatible AI agent.

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.

A free MCP server that renders bar, line, and area charts from structured data into clean, hand-designed SVG. No API key or payment needed, with colorblind-safe palettes and light/dark theme support.

Enables any MCP client to evaluate Wolfram Language code in a persistent local Mathematica or Wolfram Engine kernel, export results to common file formats, and inspect or manage kernel status without cloud APIs, API keys, or runtime dependencies.

A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.

Turns a CSV — or a public dataset named in plain English — into an animated chart video. Every numeric claim in the generated narration is recomputed from the source rows before export, and a claim that does not reconcile blocks the export rather than shipping.

Enables RF and microwave engineers — or any MCP client — to convert impedances, analyze transmission lines and ladder circuits, synthesize L/Pi/T/stub/quarter-wave matching networks, and evaluate transistor S-parameters, stability, gain and noise circles. It also renders publication-quality Smith charts and returns human-readable summaries in English or Turkish over stdio or Streamable HTTP.

Turns plain text or Markdown, web pages, and local PDFs into editable Markdown outlines that can be rendered as standalone, offline-capable interactive HTML mind maps. Works with any MCP client with no API key required, since the connected model writes the final outline from a draft and cleaned source text.

Draw Chart.js charts as PNG images: a shareable image URL for emails, Slack and Markdown reports, or the PNG itself, with KPI, ranking, comparison, funnel and gauge presets.

Build Power BI dashboards from your data, straight from Claude Code (or any MCP client).

Enables AI hosts to generate editable online diagrams (flowcharts, mindmaps, UML, and more) from natural language or Mermaid, using a ProcessOn account via the Model Context Protocol.

MCP server that exposes ArchSmith's diagram rendering and validation as tools, along with schema and registry resources, enabling AI agents to generate consistent SVG architecture diagrams from validated JSON descriptions.

Open-source dotted maps and animated 3D globes. Pick one of 21 looks for a country or the world, build share links, open and edit a pasted link, and get embed code. Hosted at https://globestudio.app/mcp or run with npx @globestudio/mcp. Free, MIT, no API key.

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.