"Resources for Integrating Python, Data Science, MySQL, and Flask API Development" matching MCP servers:

Provides 102 tools for end-to-end data science pipelines, enabling data loading, cleaning, visualization, modeling, and reporting via natural language.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Exposes science functions like generating random points and plotting sine waves as MCP tools.

A read-only MCP server for searching control science and engineering papers via OpenAlex, limited to core journals in the field.

Security-hardened, read-only MySQL MCP server that enables safe, read-only access to MySQL databases for running SELECT queries, exploring schemas, and sampling data via MCP clients.

Governed MySQL + MariaDB DBA operations — slow-query, lock-wait/deadlock, replication, and fragmentation RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

A tool that provides simple API to execute SQL queries and manage MySQL databases, designed to integrate with Cursor IDE for AI assistants to directly perform database operations.

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

Enables access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.

MCP server that lets clients run SQL (select/insert/update/delete) against a MySQL database, with readonly and readwrite modes.

Sandboxed Python execution with automatic dependency management. Executes Python scripts in isolated environments (bubblewrap or Docker) with PEP 723 inline dependencies, preventing host pollution.

Enables AI coding assistants to browse Unreal Python API documentation, search classes and functions, and execute Python code in Unreal Editor.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Python Docs MCP Server gives AI coding agents local access to the official Python standard library docs. It can look up docs by Python version, return specific sections, and keep answers compact for clients like Claude Desktop, Cursor, and Codex. It runs without API keys or a hosted service.

Secure and token-efficient MySQL MCP server built specifically for AI agents. Prevents hallucinations, optimizes context windows and blocks dangerous queries.

Provides a production-ready FastMCP Python server boilerplate with structured logging, rate limiting, and config validation for building MCP servers compatible with Claude and other agents.

MCP server for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.