Data & Analytics MCP Servers for Analysis & Reporting

Resources for data analysis, metrics, notebooks, dashboards, and reporting workflows.

How to choose Data & Analytics MCP servers

Use these checks to narrow the directory before reviewing individual source files, permissions, and installation instructions.

Selection guidance

Choose for the data volume, calculation complexity, and output format you need. Prefer resources that expose assumptions, preserve reproducible steps, and validate totals before presentation.

Client and runtime compatibility

Confirm file formats, database or warehouse connectors, notebook or spreadsheet runtime, charting stack, and locale-sensitive date and number handling.

Common verified inventory signals: Clients: Claude Desktop and VS Code. Runtimes: Go, Docker, and Node.js. Install methods: npx, docker, and git clone.

Security considerations

Classify source data before sharing it with a model, minimize copied datasets, remove sensitive fields, and verify generated calculations and charts against authoritative totals.

Featured category resources

A starting set selected from profiles that pass SkillIndex’s current public index-eligibility checks. Review each profile’s source and setup details before use.

Index eligible