Data Analysis MCP Servers

Find MCP servers for analytics, spreadsheets, CSVs, charts, BI tools, data exploration, and agent-assisted analysis workflows.

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OpenSEO MCP
oficial
OpenSEO provides quality SEO data for keyword research, backlink analysis, rank tracking, site audits, analyzing your Google Search Console data. It's MCP server enables your AI agent to do tasks faster so you can focus on strategy.
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SIXTA Connect
Database Reliability Engineer-grade SQL analysis inside any MCP client
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DBeast
Expert-level PostgreSQL database analysis MCP server for AI assistants.
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kabu-mcp
Japanese & Global stock market data for AI assistants. Real-time quotes, technical analysis (RSI/MACD/BB), market screening. The only MCP with Japanese stock support.
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MCP DB Analyzer
Multi-database analysis MCP server (PostgreSQL, MySQL, SQLite). Inspects schemas, detects index problems, analyzes table bloat, and explains query plans for actionable database optimization.
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Clamp Analytics MCP
Analyze and manage traffic, funnels, cohorts, revenue, errors
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Google Analytics 4 MCP
Connect GA4 to Claude or ChatGPT via Two Minute Reports MCP. Track New Users, Sessions, and Signups to improve website performance.
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Google Analytics MCP
MCP server for Google Analytics 4 — reports, realtime, and admin (Rust)
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Google Analytics MCP Server
A structured interface for interacting with Google Analytics APIs, simplifying tasks like querying reports and managing properties.
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Google Analytics MCP Server by CData
A read-only MCP server for querying live Google Analytics data using LLMs. Powered by CData.
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Brandlio
Brandlio MCP is a remote Model Context Protocol server that connects your advertising, analytics, e‑commerce, and revenue accounts to Claude, ChatGPT, Gemini, Cursor, and any other MCP‑compatible client
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ezStats
Privacy-first analytics MCP server for ezStats with site discovery, SEO, goals, billing, and OAuth connectors.
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Dónde encaja Data Analysis MCP

Let agents inspect datasets, spreadsheets, charts, and dashboards before producing analysis.

Connect SQL, CSV, and business-intelligence context into one MCP-compatible workflow.

Draft reports, summaries, and exploratory findings from structured data sources.

Lista de configuración

  1. 1Choose servers for the data sources your team actually uses.
  2. 2Start with read-only access and small sample datasets.
  3. 3Add API keys, file permissions, or database credentials to the MCP client configuration.
  4. 4Test a known analysis question and compare the result with a manual baseline.

Cómo elegir

  • Prefer source links, row limits, schema context, and reproducible query or transformation steps.
  • Check support for spreadsheets, CSVs, charts, dashboards, SQL, or BI tools depending on your workflow.
  • Avoid giving agents broad access to sensitive analytics data without scoped permissions.

Preguntas frecuentes sobre Data Analysis MCP

What is Data Analysis MCP?

Data Analysis MCP connects agents to analytics, spreadsheets, databases, charts, or BI tools so they can inspect and summarize data through MCP.

Is Data Analysis MCP different from SQL MCP?

Yes. SQL MCP focuses on query workflows, while data analysis can include spreadsheets, CSV files, charts, dashboards, and BI systems.

What should be read-only?

Most analysis workflows should start read-only. Editing dashboards, writing database tables, or changing reports should require approval.