"How to run a Python file using Claude Desktop" matching MCP servers:

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.

A server that enables interaction with PostgreSQL, MySQL, MariaDB, or SQLite databases through Claude Desktop using natural language queries.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Executes SQL queries via ConnectorX and streams results to CSV or Parquet files, supporting multiple databases and optional token counting for CSV output.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Model Context Protocol server that enables querying and modifying live Power BI Desktop models by connecting to the in-memory Analysis Services engine.

Enables Claude Desktop to connect to PostgreSQL databases, allowing users to query, explore schemas, and analyze data using plain English without writing SQL.

A Python-based MCP server that exposes SQLite database CRUD and search operations on Users, Products, and Orders as tools for AI clients like Claude Desktop.

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

TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.

Enables LLMs to query live data from over 250+ sources via CData Python Connectors using natural language. Wraps connectors as a Model Context Protocol server.

Enables AI assistants to securely interact with IBM i (AS/400) systems via ODBC, supporting SQL queries, CL commands, source code reading, compilation, and spoolfile analysis.

MCP server for safely exposing SQL Server database capabilities to LLM clients, with read-only mode, security features, and observability.

Read-only MCP server that runs inside Calibre as a plugin, exposing the live Calibre library for inspection, search, metadata, and duplicate detection via Streamable HTTP.

A PostgreSQL MCP server with AST-based security for safe database operations. Enables AI assistants to query and manage PostgreSQL databases securely.

A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.

A Python-powered Model Context Protocol server that provides safe database inspection and read-only querying capabilities for MySQL databases. Enables LLM agents to explore database schemas, execute read-only SQL queries, and retrieve metadata through JSON-RPC communication.

A read-only MCP server for MS SQL Server, written in Python. Lets AI agents query your database safely — no writes, no stored procedures, no shell access.

Enables AI assistants to discover and interact with local Power BI Desktop instances, including inspecting table/column schema and executing DAX queries.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.