"Open-Source MCP Server in Python with PostgreSQL and OAuth 2.0" matching MCP servers:

A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.

Enables AI agents to inspect and measure live crypto charts, read indicator and market-structure data, add native indicators, and create editable annotations through a local MCP bridge.

A read-only MCP server that connects Claude to the Northwind sample PostgreSQL database, allowing natural language queries to generate SQL and charts.

Enables AI agents to browse and filter experiment runs, retrieve metrics, logs, tables, and artifacts, plot comparisons as PNG images, and download full-fidelity training history for local analysis against a self-hosted Open Train server. It also provides diagnostic tooling that surfaces metric evidence and investigation leads without asserting causality.

Enables LLM clients to run Python code in a persistent, user-selected interpreter via MCP, with tools for data loading, summaries, regressions, diagnostics, and plotting, while keeping sessions alive between calls and isolating crashes.

Enables secure execution of statistical Python code in isolated micro-VM sandboxes, generating charts and analytical summaries.

Enables time series analysis following Box-Jenkins-Treadway methodology, supporting guided or autonomous modes for model identification, estimation, and diagnosis via an LLM.

Local MCP server for editing Power BI Project reports saved in PBIR format.

A Model Context Protocol (MCP) server that enables seamless integration between MATLAB and MCP-compatible applications like Claude Code. Execute MATLAB code, manage workspace variables, create plots, handle data I/O, and more - all through a token-efficient MCP interface.

A secure multi-database MCP server supporting MySQL, PostgreSQL, and SQLite with read-only enforcement, SQL injection prevention, and tools for schema analysis, performance optimization, and visualization.

Enables natural-language queries about sales metrics, returning interactive charts inline in chat via MCP Apps with a markdown fallback for unsupported hosts.

Generates and downloads charts using QuickChart.io through Claude Desktop and other MCP clients.

Enables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through the Model Context Protocol.

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.

Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports structured data collection and richer interactions beyond text responses.

Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.

Educational MCP server with 17 tools for mathematical calculations, matrix operations, statistical analysis, and data visualization. Includes persistent workspace, cloud hosting, and safety features like restricted eval.

Enables AI agents to create data visualizations like bar charts, line charts, pie charts, scatter plots, and histograms, returning inline SVG or PNG files.

Enables natural language interactions with Salesforce data, metadata, and reports, including report creation, discovery, and schema inspection.

An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.