Python is a programming language that lets you work quickly and integrate systems more effectively.
Why this server?
Enables running the MCP server directly using Python via the python -m norman_mcp command for direct execution.
Why this server?
Serves as the runtime environment for the MCP server, with commands referencing Python's interpreter for executing the server
Why this server?
Provides a Python client interface for interacting with the MCP server and executing Semgrep scans programmatically.
Why this server?
Enables execution of SQL queries against StarRocks databases using Python, supporting both read operations (SELECT queries) and write operations (DDL/DML commands).
Why this server?
The Databutton MCP server helps build and deploy Python APIs/MCPs for creating business applications.
Why this server?
Runtime environment for the BICScan MCP Server when not using Docker.
Why this server?
Supports Python 3.10 for the implementation of the server that integrates with ScapeGraph AI
Why this server?
Generates Python implementations for 3D software like Blender, enabling animation control, object manipulation, and other 3D operations through native code.
Why this server?
Built with Python (3.12+) as the underlying language, providing the runtime environment for the MCP server implementation.
Why this server?
Built on Python 3.11+ with asyncio for efficient performance in handling time-related requests
Why this server?
Supports manual server setup using Python environment for running the Memory Bank MCP Server
Why this server?
Provides the runtime environment for the MCP server, requiring version 3.13 or higher.
Why this server?
Offers language-specific code parsing and analysis for Python files, including symbol extraction, AST generation, and complexity analysis
Why this server?
Supports context-based voice selection when discussing Python, using specific voices like 'antoine'
Why this server?
Enables symbol extraction and analysis from Python files, providing AI assistants with contextual understanding of Python code structure.
Why this server?
Enables searching through Python-specific AWS Lambda Powertools documentation to find relevant implementation guides, features, and usage examples.
Why this server?
Built for Python 3.13+ environments, providing a Python-based implementation of the web content fetching capabilities.
Why this server?
Provides stock market data analysis tools for A-share markets through data accessed via Baostock, offering historical K-line data, financial reports, market indices, and macroeconomic indicators.
Why this server?
Enables creation and management of custom Python-based MCP servers that can be integrated with the proxy.
Why this server?
Required runtime environment for AWS Security MCP, version 3.11+ needed to execute the server.
Why this server?
Provides a Python-based framework for developing custom tools, with support for virtual environments and modular design patterns.
Why this server?
Supports running the mindmap conversion server through Python, with options for different return types and configuration parameters
Why this server?
Serves as the implementation language for the MCP server, with specific dependencies including unstructured-client for API interaction
Why this server?
Supports execution of Python code snippets with output display
Why this server?
Includes Python client examples for connecting to the MCP server, enabling Python applications to execute SQL queries and interact with Firebird databases through the MCP protocol.
Why this server?
Supports execution of Python code snippets in a secure sandbox environment.
Why this server?
Supports creation and management of Python projects in a secure development environment
Why this server?
Supports code analysis using tree-sitter for Python files (.py) and code execution for Python
Why this server?
Requires Python 3.8 or higher as the runtime environment for the MCP server.
Why this server?
Utilizes Python and its ecosystem for implementing the MCP server, requiring Python 3.10+ for operation.
Why this server?
Offers specialized prompt templates for reviewing, documenting, and refactoring Python code with parameter customization.
Why this server?
Provides documentation lookups for Python libraries via built-in help() function, including specific symbol/function lookups and search capabilities
Why this server?
Offers a Python-based implementation of the MCP server that connects to Typesense.
Why this server?
Built for Python with support for specific Python versions as indicated by the Python Versions badge.
Why this server?
Utilizes Python as the implementation language, requiring Python 3.10+ for server operation.
Why this server?
Provides a Python-based integration layer for connecting to Taiga's resources and APIs
Why this server?
Serves as the runtime environment for the MCP server, with version 3.8 or higher recommended.
Why this server?
Built using Python SDK for MCP implementation, requiring Python 3.9+ for server installation and operation.
Why this server?
Enables running Locust load tests with configurable parameters (users, spawn rate, runtime) for HTTP/HTTPS performance testing through a simple API.
Why this server?
Provides tools for Python project management with features like project structure organization and IDE integration.
Why this server?
Analyzes Python source files by detecting import and from...import statements to map dependencies and calculate importance scores for files in Python projects.
Why this server?
Requires Python 3.12 or higher for running the server
Why this server?
Provides tools for reading and parsing Excel (.xlsx) files using Python, enabling extraction of data from entire workbooks or specific sheets by name or index.
Why this server?
Enables execution of Python scripts within IDA Pro for reverse engineering tasks, allowing AI assistants to interact with binary analysis functions through a standardized interface.
Why this server?
Built with Python, providing a foundation for the MCP server implementation that handles authentication and interactions with eClass
Why this server?
Enables Large Language Models (LLMs) to execute Python code through Pyodide, a Python runtime environment that runs in JavaScript
Why this server?
Allows LLMs to execute Python code within a specified Conda environment with access to libraries and dependencies
Why this server?
Features specialized chunking for Python files, breaking them down into classes, functions, import statements, and file-level statements for targeted code exploration.
Why this server?
Supports traditional Python setup using the uv package manager for installation and running the MCP server with various transport options.
Why this server?
Provides tools to search and retrieve Python documentation to answer specific queries about the Python programming language
Why this server?
Retrieves documentation for Python packages, extracting READMEs, API references, and usage examples to facilitate better understanding of Python libraries.
Why this server?
The MCP server is built with Python and requires Python 3.10 or higher.
Why this server?
Offers template-based creation of Python MCP servers, enabling development and execution of Python-based Model Context Protocol implementations.
Why this server?
Analyzes Python files for import statements, from...import statements, __init__.py, and relative imports to determine file dependencies
Why this server?
Retrieves end-of-life dates, support status, and security information for Python versions, allowing for version comparison and upgrade recommendations.
Why this server?
Uses Python dependencies through 'uv' for file conversion capabilities
Why this server?
Leverages Python's difflib library to generate differences between two texts in Unified diff format.
Why this server?
Offers a persistent Python execution environment that maintains variable state between code executions, enabling multi-step programming workflows.
Why this server?
Offers specialized error analysis and debugging for Python code, including type error detection, pattern recognition, and best practice recommendations.
Why this server?
Dynamically creates new Python-based tools from natural language descriptions, saving them as scriptlets
Why this server?
Theoretically provides language support for Python code editing, though it has only been tested with TypeScript.
Why this server?
Provides the ability to execute Python code in a sandboxed environment using pyodide, allowing safe Python code execution isolated from the operating system.
Why this server?
Provides a code interpreter tool for executing Python code in a sandboxed environment for data analysis and computation.
Why this server?
Offers a comprehensive CLI for direct interaction with biomedical databases through Python, allowing users to search for articles, clinical trials, and variants via command line.
Why this server?
Provides an alternative MCP server implementation in Python for developers working in that language.
Why this server?
Supports development in Python with dedicated structure for implementing MCP servers.
Why this server?
Supports direct invocation via Python interpreter as an alternative configuration option for running the MCP server with AI clients.
Why this server?
Offers Python implementation of the MCP server through a dedicated PyPI package (mcp-server-baidu-maps).
Why this server?
Uses Python to create a bridge between the mail services and the MCP protocol, allowing AI to interact with email functionality.
Why this server?
Uses Python scripts for browser automation to perform various operations like capturing screenshots, retrieving HTML content, executing JavaScript, and getting console logs from webpages
Why this server?
Provides the runtime environment for the MCP server, requiring Python 3.12 or higher
Why this server?
Provides a framework for developing custom MCP tools in Python, with examples including a simple hello world tool. Supports defining tool schemas, handling requests, and implementing business logic.
Why this server?
Built on Python, enabling easy installation via pip and custom integrations with the ThingsPanel IoT platform.
Why this server?
Allows passing any Python code directly to Claude, enabling execution of custom Python functions through the MCP server
Why this server?
Server implementation that exposes customizable prompt templates, resources, and tools for AI-assisted development
Why this server?
The implementation language for the server, which handles all API interactions with Whissle
Why this server?
Supports building Python LLM applications with vector database memory capabilities powered by Chroma, enabling embedding-based retrieval for context augmentation.
Why this server?
Built on Python, allowing execution of Python-based data analysis and Excel management operations.
Why this server?
Allows interaction with Python environments, execution of Python code, management of packages, and Python-related file operations including reading, writing, and debugging Python files.
Why this server?
Provides call graph analysis tools for Python codebases, allowing for initialization of code graphs, exploration of function call relationships, dependency analysis, and impact assessment of code changes.
Why this server?
The Bash tool supports Python packages and the server is built with Python-related tools
Why this server?
Provides an interface to interact with Illumio PCE (Policy Compute Engine), enabling programmatic management of workloads, labels, and traffic flow analysis in Illumio's zero-trust segmentation platform.
Why this server?
Enables running and managing Python test suites using tox commands. Handles different test execution scenarios with configurable timeouts and provides targeted testing capabilities for Python projects.
Why this server?
Uses Python as the foundation for building and extending the MCP server functionality
Why this server?
Provides a template foundation for building Model Context Protocol (MCP) servers in Python, enabling AI-assisted development of MCP tools
Why this server?
Supports server implementation and dependency management through Python's ecosystem, allowing the MCP server to run with Python 3.x and manage packages via pip.
Why this server?
Required as a dependency for the MCP server, but not directly integrated as a service
Why this server?
Provides an interactive Python code execution environment with tools for running code, installing packages, and managing files.
Why this server?
Provides an interactive Python code execution environment that allows running Python 3.12+ code with support for package installation and file generation
Why this server?
Offers a sandbox to run Python code with pre-installed libraries in an isolated environment
Why this server?
Runtime environment for the MCP server with support for batch processing, priority queuing, and rate limiting.
Why this server?
Uses Python-based frameworks like Nornir and NAPALM to provide network automation tools that can interact with multi-vendor network devices.
Why this server?
Primary programming language used to build the MCP server application and its components.
Why this server?
Utilizes Python as the implementation language, with support for Python-based environment setup, dependency management, and execution of the MCP server.
Why this server?
Leverages Python libraries like python-pptx for programmatically creating and manipulating PowerPoint presentations, enabling slide creation, content insertion, and presentation formatting.
Why this server?
Leverages Python runtime for the MCP server implementation, with specific requirement for Python 3.10+ to run the web testing agent.
Why this server?
Built on Python 3.8+, enabling Python-based setup and execution of the HTTP-4-MCP middleware server.
Why this server?
Implemented in Python with dependencies managed through pip and requirements.txt.
Why this server?
Provides a Python framework for hardware control and automation with MCPHardwareClient
Why this server?
Built with Python 3.9+, leveraging the language's capabilities for implementing the Model Context Protocol server functionality.
Why this server?
Provides direct out-of-the-box language server support for Python, enabling semantic code analysis and editing capabilities
Why this server?
Built with Python libraries like PyAutoGUI for computer control functionality, with installation and execution through Python package management.
Why this server?
Provides a lightweight Python interface for exposing TigerGraph operations, enabling schema introspection, query execution, and vertex/edge manipulation.
Why this server?
Allows implementation of MCP servers using Python, mentioned as one of the languages used in the sample.
Why this server?
Integrates with Python language server (pyright) to provide code intelligence, including definitions, references, diagnostics, and code lens for Python codebases
Why this server?
Serves as the runtime environment for the MCP server, requiring Python 3.10 or higher for execution
Why this server?
Serves as the runtime environment for the MCP-Odoo server implementation.
Why this server?
Provides a Python-based MCP server implementation for accessing A-share market data, offering historical stock data, financial reports, market overview, and economic indicators for Chinese stock markets.
Why this server?
Uses Python as the interface language for the MCP server that connects R's econometric capabilities to AI assistants.
Why this server?
Used within TouchDesigner for scripting and controlling nodes, allowing AI agents to execute Python code to manipulate TouchDesigner projects.
Why this server?
Provides a sandboxed Python environment for executing code and scripts.
Why this server?
Uses the OpenAI Python SDK to implement the image generation capabilities, allowing for programmatic access to OpenAI's image models through Python.
Why this server?
The MCP server uses Python and the OpenPyXL library to provide Excel file manipulation capabilities without requiring Microsoft Excel installation
Why this server?
Provides weather information through the Open-Meteo API, allowing users to get current weather conditions for specified cities.
Why this server?
Provides access to Python documentation, allowing AI assistants to search and retrieve content from Python's technical documentation
Why this server?
The programming language the MCP server is built with
Why this server?
Built using the OpenFGA Python SDK and MCP Python SDK, requiring Python 3.10+ for operation
Why this server?
Runs as a Python-based server that can be configured to work with various CAD applications, processing natural language commands into CAD operations.
Why this server?
Used for implementing several backend MCP server tools, allowing execution of Python-based server processes.
Why this server?
Leverages Python 3.7+ to provide a Windows service that can execute commands with robust error handling, logging, and automatic process restart capabilities.
Why this server?
Built on Python 3.13+ with type hints, leveraging Python's ecosystem for developing the search engine with RAG capabilities.
Why this server?
Used as the runtime environment for the MCP server with a minimum version requirement of 3.10+
Why this server?
Powers the MSSQL MCP server implementation, allowing for database operations and business intelligence capabilities
Why this server?
Requires Python 3.9 or higher as the runtime environment for the MCP server
Why this server?
Provides a Python-based implementation with dedicated modules that can be integrated into Python projects, requiring Python 3.12+ for operation.
Why this server?
Provides integration with ComfyUI, a Python-based stable diffusion interface, enabling AI image generation through tools like text_to_image and download_image capabilities.
Why this server?
Built as a Python-based server, allowing users to leverage Python's ecosystem for EPICS control system integration and automation.
Why this server?
Provides a Python-based implementation for interacting with Upbit cryptocurrency exchange, enabling access to market data, account management, order creation/cancellation, and technical analysis tools.
Why this server?
Utilizes Python as the foundation for implementing the MCP server, with specific requirements for Python 3.12.
Why this server?
The server is built on Python (version 3.10 or higher) and uses the FastMCP Python SDK to provide a dynamic MCP server implementation.
Why this server?
Provides a Python-based interface to the OpenPyXl library for Excel file manipulation and data extraction.
Why this server?
Required as a dependency for running the MCP server, with specific version requirements (3.10 or higher).
Why this server?
Serves as the runtime environment for the MCP server, enabling the creation and management of shared expenses for social events through Python-based implementations.
Why this server?
Leverages Python 3.12+ as the implementation language with support for Python virtual environments and package management.
Why this server?
Provides sandboxed Python code execution with security controls including memory limits, execution timeouts, and library restrictions.
Why this server?
Implemented in Python with support for Python 3.8+ environments.
Why this server?
Parses Python code with a custom parser for analysis and visualization
Why this server?
Built using Python and integrates with Python SDK for the Model Context Protocol.
Why this server?
Required as a prerequisite and used for the bridge script that connects MCP clients to the Ghidra server.
Why this server?
Leverages Python for implementing the MCP server, with support for Python 3.9+ environments and package management.
Why this server?
The MCP-Logic server is built with Python and integrates with Prover9/Mace4 to provide automated reasoning capabilities for AI systems through a clean MCP interface.
Why this server?
Supports running the CS2 RCON MCP server using Python 3.8+ for those who prefer direct installation rather than Docker
Why this server?
Functions as a Python package for querying stock information tables from financial websites
Why this server?
Provides a Python-based toolkit for memory analysis and manipulation through the MCP interface
Why this server?
Enables interaction with Freqtrade cryptocurrency trading bot through its REST API, providing tools for fetching market data, managing trades, monitoring bot status, controlling bot operations, and adjusting trading configurations.
Why this server?
Provides a Python REPL environment for code execution
Why this server?
The programming language used to implement the MCP server.
Why this server?
Enables native Python integration for running the MCP server and implementing client interactions through Python code examples
Why this server?
Allows execution of Python scripts through the shell command tool, enabling AI agents to run Python code and analyze data.
Why this server?
Utilizes python-pptx library for PowerPoint manipulation, allowing creation, editing and management of presentations programmatically
Why this server?
Offers Python client implementations for all server functionalities, enabling integration of privateGPT capabilities into Python applications.
Why this server?
Supports local installation and execution using Python 3.13+ as an alternative to the Docker deployment method
Why this server?
Provides the runtime environment for both the server and client components.
Why this server?
Enables running generated Python code to interact with AWS resources through boto3, with support for various Python libraries and functions for AWS service interaction.
Why this server?
Used as the implementation language for the MCP server and custom tools
Why this server?
Required as the runtime environment for the MCP server, with version 3.7 or higher needed to run the OneSignal integration.
Why this server?
The MCP server is implemented in Python, utilizing Python libraries and tools like FastMCP and Playwright.
Why this server?
Core runtime environment for the DiffuGen MCP server, handling model interactions and processing
Why this server?
Used for implementation and client access, but not as a primary integration target for the MCP server.
Why this server?
Provides a Python module interface for the Binary Ninja MCP Server, allowing it to be run as a Python script.
Why this server?
Offers syntax checking for Python files (.py) to ensure code integrity when making changes to Python code.
Why this server?
Enables execution of Python code through the system Python interpreter
Why this server?
Executes Manim Python scripts to generate mathematical animations, allowing for dynamic creation and rendering of visual content.
Why this server?
Built on Python with PyAutoGUI to provide GUI testing and control capabilities
Why this server?
Requires Python 3.13 or higher to run the MCP server.
Why this server?
Integrates with Python debugging through debugpy, allowing the setting/removal of breakpoints, controlling execution flow, evaluating expressions, and viewing source code.
Why this server?
Leverages Python to access the Fantasy Premier League API, with support for Python 3.10 or higher to run the MCP server
Why this server?
The implementation language for the MCP server, with support for virtual environments and package management for dependencies.
Why this server?
Requires Python 3.10+ to run the server, with explicit configuration examples and installation instructions for Python environments
Why this server?
Allows integration with Smolagents Python framework for building AI agents that can perform web searches
Why this server?
Serves as the runtime environment for the MCP server that interfaces with the Shioaji trading API, enabling financial market data access for Taiwan stocks.
Why this server?
Implements the MCP server in Python using FastMCP, providing a bridge between AI agents and the Unity engine.
Why this server?
Provides GUI automation capabilities through PyAutoGUI, allowing the agent to control mouse movements, keyboard input, take screenshots, and interact with windows on the user's desktop across Windows, macOS, and Linux.
Why this server?
Enables data wrangling operations including data aggregation and descriptive statistics through Python, allowing for preprocessing, transformation, and analysis of data in standardized ways.
Why this server?
Supports Python-based MCP servers, automatically configuring them to run as Python modules with proper environment variables.
Why this server?
Requires Python 3.10+ as a system requirement for running the server
Why this server?
Provides a Python-based environment for executing functions and interacting with Foundry's data structures
Why this server?
Built on Python 3.10+, utilizing Python's capabilities to bridge Dune Analytics data to AI agents through MCP tools.
Why this server?
Built with the official MCP Python SDK, requiring Python 3.8 or later for installation and operation.
Why this server?
Enables creation and management of LLDB debugging sessions through Python, with support for program loading, execution control, breakpoint management, and memory inspection
Why this server?
Nash MCP enables execution of Python code snippets with full access to installed packages and provides information about available Python packages
Why this server?
Server implementation requires Python 3.8+ to run the MCP service for Tushare data querying capabilities.
Why this server?
Serves as the runtime environment for the MCP server, with specific instructions for setting up Python environments to run the MCP functionality.
Why this server?
Parses Python files using AST for accurate import detection, enabling dependency tracking and importance ranking.
Why this server?
Serves as the runtime environment for the MCP server, requiring Python 3.11+ for server operation.
Why this server?
Provides a Python interface for monitoring and analyzing Java processes.
Why this server?
Primary runtime environment for the MCP server with version 3.11+ requirement
Why this server?
Offers a Python client interface for sending TTS requests to the server with customizable voice, speed, and file management options.
Why this server?
Built with Python, allowing direct execution of the server outside of Docker containers and easy extension through Python-based tools.
Why this server?
Allows execution of Python code snippets and projects with automatic dependency detection and installation via pip, requirements.txt, pyproject.toml, or setup.py.
Why this server?
Built for Python 3.10+ environments, with specific compatibility requirements as noted in the technology stack section.
Why this server?
Supports native Python installation as an alternative to Docker deployment, with specific requirements for Python 3.13+ and uv.
Why this server?
Leverages the FastF1 Python library to provide access to Formula One data including race calendars, event information, session results, driver statistics, lap times, telemetry, and championship standings.
Why this server?
Built for Python 3.10+ environment, with Python being the runtime for the MCP server process.
Why this server?
Built on Python 3.10+ with support for virtual environments and package management through uv.
Why this server?
Requires Python 3.10 or higher for installation and running of the Kaltura MCP server.
Why this server?
Required runtime for the MCP server, with version 3.10+ specified as a prerequisite.
Why this server?
Implements the MCP server using Python SDK, supporting both v0 and v1 API implementations.
Why this server?
Integrates with Python to access the NSAF framework capabilities
Why this server?
Provides runtime environment for the Genesis World simulations, required for version 3.8 or higher.