MCP Analytics
MCP Analytics: AI-assisted statistical reports combine reusable R analyses with live analytics connectors. Ranked #43 of 106 in Statistical Analysis Software by our editors (5.2/10); pricing: 14-day trial; best for researchers and teams needing reproducible reports.
At a glance
- Editor score5.2 / 10
- Pricing14-day trial
- Best forResearchers and teams needing reproducible reports
- Free planNo
- DeploymentBoth
- Facts checked23 Sep 2026
Where it wins
- Reports include R source code and citable methodology.
- Reusable analyses can be rerun on new data.
- Google Analytics 4 and Search Console have live connectors.
Where it doesn't
- Academic includes only 4 analyses a month.
- There is no perpetual free plan.
- Live connectors are limited to Google Analytics 4 and Search Console.
Our verdict on MCP Analytics
MCP Analytics turns uploaded data or supported connected data into statistical analyses, reports and citations. Researchers, business teams and developers can describe a question in plain language and receive methods computed with R. Its listed methods include t-tests, ANOVA, chi-square, regression and Bayesian A/B testing. Reports include charts, tables and PDF export, along with R source code and methodology. The product is a fit for people who need an analysis they can inspect or rerun, rather than a general-purpose statistics environment centered on a broad set of listed procedures.
Reproducibility is a defining part of the workflow: analyses can be saved and rerun on new data, and the report exposes code and methodology. Developers can access the product through an MCP server or REST API, and the listed integrations include Claude, ChatGPT, Cursor and Windsurf. For data connections, Google Analytics 4 and Google Search Console are supported. This combination suits teams working with those sources or AI assistants, but organizations relying on other live data connectors may need a different tool or an import workflow. Supported uploads include CSV, Excel, JSON, Parquet and TSV.
The product is paid and offers a 14-day demo without a card requirement, rather than a perpetual free plan. Academic provides 4 analyses a month and source code with citable methodology; Business provides 120 analyses a month, seats, standing schedules and a priority queue. Enterprise includes unlimited usage and can offer white-label or on-premise/on-your-cloud deployment, with SSO, audit logs and an SLA per contract. It is available through web, API and self-hosted access, with enterprise deployment arranged by contract. Pick MCP Analytics for R-backed, reusable reports and the supported connectors; consider alternatives if you need a free ongoing tier or broader live-connector coverage.
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MCP Analytics pricing
All 3 MCP Analytics plans and prices →
MCP Analytics fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Deployment | Both |
| Statistical tests | Yes |
| Regression models | Yes |
| Scripting support | Yes |
| Bayesian analysis | Yes |
| Data import formats | CSV, Excel, JSON, Parquet, TSV; Google Analytics 4 and Google Search Console connectors |
| Free trial | 14 days · no card needed |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SSO/SAML |
| Support | Email, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 6 integrations: Claude, ChatGPT, Cursor, Windsurf, Google Analytics 4, Google Search Console See all → |
| Pricing | 14-day trial (source) |
| Website | mcpanalytics.ai |
| Facts checked | 23 Sep 2026 |
MCP Analytics integrations
MCP Analytics lists 6 integrations on its own site.
- Claude
- ChatGPT
- Cursor
- Windsurf
- Google Analytics 4
- Google Search Console
See all MCP Analytics integrations →
Alternatives to MCP Analytics
- RA free, programmable environment for statistical analysis, modeling, visualization, and data import.9.4
- StataA broad, scriptable desktop environment for professional and reproducible applied analysis.9.3
- IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.9.2
See all MCP Analytics alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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