MCP server category
Data science and visualization MCP servers: comparison and full list
The Data science and visualization category lists 48 open-source MCP servers, checked on GitHub. The best scored on our grid are Vizro MCP, Agent Native Analytics, and Semiotic. 77% received a commit in the last three months.
What Data science and visualization MCP servers are for
Data science MCP servers connect an AI agent to datasets and tools for analysis or visualization. They can support analysts, product teams, and people preparing reports who need to explore information across different systems. Depending on the server, you can request a chart, examine measurements, or assemble a dashboard. Vizro MCP, for example, creates charts and dashboards using Vizro tools and templates. A practical request might be: “Plot signups by acquisition channel over time, and identify missing data before interpreting the trend.” The available operations depend on the connected sources and the permissions you grant.
Example uses:
- Build a chart from accessible data, specifying the axes, measurement units, and relevant reporting period.
- Prepare a dashboard with separate views for the questions your team needs to investigate.
- Explore available advertising data to examine changes across campaigns and comparable reporting periods.
- Convert a document to Markdown before submitting its contents for further analysis by your agent.
The category in figures
Of the 48 servers in the category (1% of the directory), 6 are official vendor implementations, 83% declare a licence, 14 offer a remote server and 8 need at least one API key or token according to the MCP registry. The median repository has 69 stars.
All Data science and visualization MCP servers
Click a header to sort. Score out of 100: adoption, maintenance and framework (licence, registry, official status); risk: system access, secrets, licence, abandonment.
| Server | Stars | Last commit | Licence | Risk | Score |
|---|---|---|---|---|---|
| Agent Native Analytics Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts | 7,506 | Oct 24, 2026 | MIT | low | 84 |
| Google Ads + Meta Ads + SEO/GEO MCP Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI | 5,857 | Oct 23, 2026 | MIT | low | 83 |
| Ask Jev Evaluate state with typed choice, score, and probability questions. | 5,238 | Oct 24, 2026 | MIT | low | 82 |
| Vizro MCP ◆ Create validated, maintainable data charts and dashboards with Vizro tools and templates. | 3,810 | Oct 23, 2026 | Apache-2.0 | low | 91 |
| ShipSwift 40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP. | 3,244 | Oct 18, 2026 | MIT | low | 80 |
| Markdownify MCP Convert almost any file or web content into Markdown. | 2,996 | Sep 25, 2026 | MIT | low | 80 |
| Semiotic Semiotic React data visualization: suggest charts for a dataset, render validated configs to SVG, diagnose anti-patterns and fetch component | 2,716 | Oct 24, 2026 | Apache-2.0 | low | 84 |
| PaperBanana Generate academic diagrams and statistical plots from text using multi-agent AI. | 2,417 | Sep 17, 2026 | MIT | low | 74 |
| Usertour MCP Server Official Usertour MCP Server for in-app onboarding: flows, checklists, surveys, and analytics. | 2,326 | Oct 24, 2026 | — | moderate | 69 |
| Jupyter MCP server Interact with Jupyter. | 1,311 | Oct 24, 2026 | BSD-3-Clause | low | 76 |
| MCP server data exploration Autonomous data exploration of CSV datasets with generated insights. | 544 | Mar 22, 2025 | MIT | moderate | 44 |
| AdLoop Google Ads, Reddit Ads, GA4 and Tag Manager in your AI client, with a preview before every change. | 287 | Oct 23, 2026 | MIT | low | 76 |
| Blatui shadcn/ui for Laravel Blade — discover, read and install BlatUI components, blocks and charts. | 262 | Oct 24, 2026 | — | moderate | 59 |
| Microcharts Word-sized charts (sparklines, bars, bullets and more) rendered to self-contained SVG with generated alt text, plus chart suggestions for a | 205 | Oct 24, 2026 | MIT | low | 73 |
| Penguin Statistics Crowdsourced Arknights drop rates by stage and item, for the CN, US, JP and KR game servers | 202 | Oct 23, 2026 | MIT | low | 74 |
| Joplin MCP Server FastMCP server exposing Joplin notes, notebooks, tags, and imports. | 174 | Sep 12, 2026 | MIT | moderate | 62 |
| Jupyter notebook MCP Interact with and control Jupyter Notebooks. | 128 | Apr 2, 2025 | MIT | moderate | 38 |
| Chronulus MCP Forecasting and prediction with Chronulus AI agents. | 111 | Jul 19, 2025 | MIT | moderate | 37 |
| Ads MCP Manage Google, Meta, Amazon, TikTok, LinkedIn & ChatGPT ads. 430 tools for campaigns & analytics. | 105 | Oct 20, 2026 | MIT | low | 71 |
| Tsbootstrap Read-only time-series bootstrap server: diagnose a series and compute confidence intervals. | 96 | Oct 24, 2026 | MIT | low | 65 |
| Substack MCP Server (marcomoauro) Manage Substack publishing, subscribers, analytics, reader feeds, comments, and images through MCP. | 90 | Sep 3, 2026 | MIT | moderate | 60 |
| Optuna MCP ◆ Orchestrate hyperparameter search and other optimization tasks with Optuna. | 88 | Oct 22, 2026 | MIT | low | 74 |
| PaperBanana CN Generate and evaluate academic diagrams and plots with independent model connections. | 84 | Oct 1, 2026 | MIT | low | 64 |
| Zaturn Link multiple data sources (SQL, CSV, Parquet and more) and analyze the data for insights and visualizations. | 75 | Nov 12, 2025 | MIT | low | 44 |
| Servosity MCP Fleet-wide backup triage, stale-backup detection, and cross-engine analytics for any MCP agent. | 62 | Oct 24, 2026 | — | high | 53 |
| Datawrapper A Model Context Protocol (MCP) server and app for creating Datawrapper charts using AI assistants | 60 | Oct 1, 2026 | MIT | moderate | 63 |
| MCP dashboards Interactive charts (bar, line, candlestick, Sankey, geo and more) and dashboards with KPI cards, drill-down, live API polling, themes and PN | 52 | Sep 10, 2026 | — | moderate | 52 |
| Kaggle MCP Connect to Kaggle to download and analyze datasets. | 39 | May 21, 2026 | MIT | low | 49 |
| Label studio MCP server ◆ Create, manage and automate Label Studio projects, tasks and predictions for data labeling workflows. | 37 | May 30, 2025 | Apache-2.0 | moderate | 43 |
| MCPR Connect AI agents to interactive live R sessions. | 27 | Oct 23, 2026 | CC-BY-SA-4.0 | low | 59 |
| Growthbook MCP ◆ Create and interact with GrowthBook feature flags and experiments. | 24 | Oct 8, 2026 | MIT | low | 74 |
| 3D Visualizer Inspect, compare and export point clouds, meshes and depth data with interactive 3D previews, measurements, NumPy/PyTorch inputs and COLMAP | 22 | Oct 20, 2026 | MIT | low | 63 |
| Fermat MCP Math engine combining SymPy, NumPy and Matplotlib for symbolic algebra, numerical computing and data visualization. | 21 | Oct 21, 2026 | MIT | low | 58 |
| Bundler MCP Query local information about dependencies in a Ruby project's Gemfile. | 21 | Jun 29, 2025 | MIT | moderate | 30 |
| Charted Render bar, line, pie, scatter and other charts from JSON or CSV to SVG, HTML, PNG or data URL, with built-in themes. | 17 | Oct 20, 2026 | MIT | low | 57 |
| Csvglow Generate self-contained HTML dashboards from CSV/Excel files with interactive ECharts visualizations and sortable data tables. | 14 | Mar 20, 2026 | MIT | low | 36 |
| Mathlas Math tools for agents: theorem search, PSLQ constant identification, OEIS lookup, Lean kernel checks and applicability checklists. | 13 | Oct 13, 2026 | Apache-2.0 | low | 61 |
| Oraclaw Decision intelligence algorithms: bandits, Monte Carlo, constraint optimization, forecasting, anomaly detection, risk analysis and graph alg | 13 | Oct 21, 2026 | MIT | moderate | 61 |
| Glyphic Generate architecture, ERD, sequence, flowchart, Gantt and other diagrams from structured JSON as SVG or PNG, without a headless browser. | 10 | Oct 15, 2026 | — | moderate | 50 |
| Code guardian Code refactoring engine: code analysis, hotspot detection, complexity metrics, persistent memory and automated refactoring plans. | 9 | Dec 25, 2025 | — | moderate | 25 |
| Disco Exploratory data analysis that finds feature interactions and subgroup effects, with p-values, effect sizes and literature citations. | 7 | Oct 7, 2026 | MIT | low | 64 |
| Gut Judgment calls on small, cheap models: yes/no, pick-one and rate questions about any text, answered YES, NO or UNSURE. Runs on TypeSafe's Je | 7 | Oct 13, 2026 | Apache-2.0 | moderate | 58 |
| Calculator server Mathematical computations: basic arithmetic, advanced functions, statistical analysis, unit conversions and financial calculations. | 7 | Sep 19, 2025 | — | high | 15 |
| Aurora Transparent statistical analysis with cited findings, integrity-hashed result bundles and a calibration corpus of measured detector false-fi | 6 | Sep 5, 2026 | Apache-2.0 | low | 53 |
| Math MCP Learning Educational server for math operations, statistics, visualization and persistent workspaces. | 5 | Oct 22, 2026 | — | moderate | 47 |
| MCP turboquant LLM quantization: convert models to GGUF, GPTQ and AWQ, recommend quantization settings, evaluate quality and push to Hugging Face Hub. | 5 | Apr 2, 2026 | MIT | low | 32 |
| Ephemeris Time Series Forecasting ◆ Probabilistic time-series forecasting: quantile forecasts from Chronos-2, TimesFM 2.5, Toto 2, TiRex-2 and IBM Granite foundation models, ro | 0 | Oct 23, 2026 | MIT | moderate | 60 |
| Chartlink ◆ Charts, maps and sortable tables with live-updating embed links: draft, preview and publish, then update the data and every embed follows. | 0 | Oct 8, 2026 | MIT | moderate | 60 |
Official servers
Published by the service's own vendor (per the awesome-mcp-servers list): they usually track the API closely and are better maintained.
- Vizro MCP 3.8K ★
- Optuna MCP 88 ★
- Label studio MCP server 37 ★
- Growthbook MCP 24 ★
- Ephemeris Time Series Forecasting 0 ★
- Chartlink 0 ★
Choosing and securing
Compare supported sources, accepted formats, and the operations each server actually exposes. Check whether it executes code, transfers information to a remote service, or processes data locally. Review maintenance activity, licensing, and the documentation for requested permissions. Whether official or community maintained, a suitable server should let you understand its transformations and trace a result back to the data used to produce it.
Connected datasets may expose personal identifiers, commercial information, or confidential measurements. Restrict access to the sources needed for the task and check where queries run. Imported material can also contain malicious instructions aimed at the agent. Treat that material as data rather than authority. Before sharing a chart, review its filters, units, aggregation rules, and any details that could identify individuals.
Before connecting a server to an agent with access to your data, run the AI agent security check.
Most recent
- Ephemeris Time Series Forecasting created October 4, 2026
- Gut created September 20, 2026
- Chartlink created September 15, 2026
- Microcharts created July 6, 2026
- Glyphic created June 16, 2026
Other categories
Learn more
Frequently asked questions
What is the best Data science and visualization MCP server?
On our grid (adoption, maintenance, framework), Vizro MCP (91/100), Agent Native Analytics (84/100), and Semiotic (84/100) come first. The right choice mostly depends on the service you need and the rights you are willing to grant.
Are these servers free?
83% declare an open-source licence and are free to use. 8 need an API key: the connected service may be paid.
Can I use an agent-generated chart directly in a report?
Review how the chart was built before publishing it. Ask which records, filters, and units were used. A chart can render correctly while hiding missing values or covering an incomplete period. Keep the query or transformation steps so another person can reproduce and inspect the result.
Can my data stay within my own environment?
That depends on the server and the services it calls. Running a server locally does not guarantee that analysis or model requests remain local. Check the complete data path, logging behavior, and AI client settings before connecting confidential sources or allowing the agent to export results.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score