Python is a programming language that lets you work quickly and integrate systems more effectively.
Why this server?
Provides a Python client interface for interacting with the MCP server and executing Semgrep scans programmatically.
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 on Python 3.11+ with asyncio for efficient performance in handling time-related requests
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?
Serves as the implementation language for the MCP server, with specific dependencies including unstructured-client for API interaction
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?
Utilizes Python as the implementation language, requiring Python 3.10+ for server 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?
Supports execution of Python code snippets with output display
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?
Supports running the mindmap conversion server through Python, with options for different return types and configuration parameters
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 creation and management of custom Python-based MCP servers that can be integrated with the proxy.
Why this server?
Provides a Python-based integration layer for connecting to Taiga's resources and APIs
Why this server?
Supports creation and management of Python projects in a secure development environment
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?
Provides documentation lookups for Python libraries via built-in help() function, including specific symbol/function lookups and search capabilities
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?
The implementation language for the server, which handles all API interactions with Whissle
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?
Allows passing any Python code directly to Claude, enabling execution of custom Python functions through the MCP server
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?
Built on Python, enabling easy installation via pip and custom integrations with the ThingsPanel IoT platform.
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?
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?
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 Bash tool supports Python packages and the server is built with Python-related tools
Why this server?
Server implementation that exposes customizable prompt templates, resources, and tools for AI-assisted development
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 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?
Enables native Python integration for running the MCP server and implementing client interactions through Python code examples
Why this server?
Provides direct out-of-the-box language server support for Python, enabling semantic code analysis and editing capabilities
Why this server?
Offers Python client implementations for all server functionalities, enabling integration of privateGPT capabilities into Python applications.
Why this server?
Allows implementation of MCP servers using Python, mentioned as one of the languages used in the sample.
Why this server?
Supports local installation and execution using Python 3.13+ as an alternative to the Docker deployment method
Why this server?
Built using the OpenFGA Python SDK and MCP Python SDK, requiring Python 3.10+ for operation
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?
Functions as a Python package for querying stock information tables from financial websites
Why this server?
Used as the implementation language for the MCP server and custom tools
Why this server?
Powers the MSSQL MCP server implementation, allowing for database operations and business intelligence capabilities
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?
Required as a dependency for the MCP server, but not directly integrated as a service
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 weather information through the Open-Meteo API, allowing users to get current weather conditions for specified cities.
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?
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?
Offers syntax checking for Python files (.py) to ensure code integrity when making changes to Python code.
Why this server?
Provides a Python REPL environment for code execution
Why this server?
Provides a Python-based toolkit for memory analysis and manipulation through the MCP interface
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?
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?
Requires Python 3.13 or higher to run the MCP server.
Why this server?
Primary programming language used to build the MCP server application and its components.
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?
Built on Python 3.8+, enabling Python-based setup and execution of the HTTP-4-MCP middleware server.
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?
Uses Python as the interface language for the MCP server that connects R's econometric capabilities to AI assistants.
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?
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?
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 code with a custom parser for analysis and visualization
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?
Utilizes python-pptx library for PowerPoint manipulation, allowing creation, editing and management of presentations programmatically
Why this server?
Built using Python and integrates with Python SDK for the Model Context Protocol.
Why this server?
Provides a Python interface for monitoring and analyzing Java processes.
Why this server?
Provides sandboxed Python code execution with security controls including memory limits, execution timeouts, and library restrictions.
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?
Primary runtime environment for the MCP server with version 3.11+ requirement
Why this server?
Requires Python 3.8 or higher as the runtime environment for the MCP server.
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 language server (pyright) to provide code intelligence, including definitions, references, diagnostics, and code lens for Python codebases
Why this server?
Provides a Python-based interface to the OpenPyXl library for Excel file manipulation and data extraction.
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.
Why this server?
Implemented in Python with support for Python 3.8+ environments.
Why this server?
Supports remote execution of Python commands and scripts through the command interface
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?
Provides tools for searching NIH-funded research projects and associated publications through the NIH RePORTER API, allowing users to query by criteria such as fiscal years, PI names, organizations, funding amounts, and more.
Why this server?
Leverages Python and OpenPyXL to enable Excel workbook manipulation, including worksheet management, data reading/writing, formatting, and analysis features like charts and pivot tables.
Why this server?
Allows running arbitrary Python code in PyMOL from Claude, extending the functionality beyond built-in PyMOL commands.
Why this server?
Offers language-specific code parsing and analysis for Python files, including symbol extraction, AST generation, and complexity analysis
Why this server?
Provides the implementation environment for the LinkedIn profile analyzer MCP server.
Why this server?
Runs on Python runtime, supporting multiple Python versions as indicated by the PyPI version badge.
Why this server?
Serves as the runtime environment for the MCP server, requiring Python 3.10+ for operation.
Why this server?
Requires Python dependencies that are automatically installed for supporting the semantic search functionality
Why this server?
The server is built using Python and requires Python 3.8+ to run.
Why this server?
Requires Python 3.10+ as the runtime environment for the MCP server that processes weather data requests.
Why this server?
Built on Python 3.10+, providing a comprehensive file conversion platform that leverages Python's ecosystem for document and image processing.
Why this server?
Built on Python 3.11+ and provides an extensible framework for creating custom Python-based tools for Claude
Why this server?
Supports executing Python code and scripts in Docker containers with automatic pip package management
Why this server?
The MCP server is built with Python, required as a prerequisite (3.8+), and the server is launched using Python commands
Why this server?
Uses Python for implementing the server, with specific instructions for creating virtual environments and running the server through Python commands.
Why this server?
Built on Python 3.11+, utilizing its capabilities for implementing the MCP server functionality.
Why this server?
Utilizes Python as the runtime environment with specific version requirements (>=3.10)
Why this server?
The MCP server is built using Python and requires Python 3.10+ for execution.
Why this server?
Supports analyzing Python code and provides example client implementation using Python's requests library
Why this server?
Built on Python 3.12+, allowing for Python-based task management and automation.
Why this server?
Provides a tool for running Python code in a sandboxed environment
Why this server?
Built with Python to provide the interface to Perplexity API, offering programmatic access to Perplexity's question answering and chat capabilities.
Why this server?
Provides code quality analysis with Pylint and security checks with Bandit for Python codebases
Why this server?
Provides a Python-based interface for retrieving and analyzing stock market data, supporting programmatic access to stock information, historical price data, and options analysis.
Why this server?
Implements an asynchronous Python server that exposes TapTools API functionality as MCP tools, using modern Python async patterns for non-blocking operations.
Why this server?
Runs as a Python-based MCP server that provides options analysis capabilities through Python scripts
Why this server?
Implemented as a Python-based MCP server that enables stock screening functionality through structured API calls
Why this server?
Supports scanning and fixing vulnerable dependencies in Python projects.
Why this server?
Required as a dependency for running the MCP server, with specific version requirements (3.10 or higher).
Why this server?
Uses Python packages for interacting with Tuya smart devices, allowing control of device states, color settings, brightness, temperature, and modes through a command-line interface.
Why this server?
The MCP server mentions integration with Python, likely for additional scripting capabilities alongside the JavaScript functionality.
Why this server?
Provides the runtime environment for MCP servers, with specific version compatibility indicated
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?
Runs as a Python module, offering programmatic code analysis and modification capabilities for Python projects.
Why this server?
Built using Python as the implementation language, with dependencies managed through pip and virtual environments.
Why this server?
Leverages the Python AI/ML ecosystem for implementing the Multi-Agent System architecture, supporting advanced sequential thinking capabilities.
Why this server?
Offers code component management for Python projects, including semantic search, relationship tracking, and implementation status monitoring across development sessions.
Why this server?
Requires Python 3.10 or newer to run, with installation via pip package manager.
Why this server?
Built on Python with async support for UI automation and interaction
Why this server?
Implements the server in Python, allowing for Python-based interaction with the weekly report functionality as shown in the example.
Why this server?
Provides access to UNHCR population data through a standardized interface, allowing queries for refugee statistics by country of origin, country of asylum, and year.
Why this server?
Requires Python 3.10 or higher as the runtime environment for the MCP server
Why this server?
Enables capturing screenshots on Windows systems and saving them to specified file paths, with special support for WSL-to-Windows interactions where an AI assistant running in WSL can request screenshots that are saved directly to its workspace.
Why this server?
Uses Python as the runtime environment to implement the IMAP MCP server, providing email browsing, organization, and processing capabilities.
Why this server?
Implemented in Python, providing a programmatic interface to macOS applications through a Python API.
Why this server?
Built in Python with pip/uv package management, providing a foundation for the MCP server implementation.
Why this server?
Runtime environment for the MCP server with support for batch processing, priority queuing, and rate limiting.
Why this server?
Provides the runtime environment for both the server and client components, with version 3.8+ required.
Why this server?
Required runtime environment for the MCP server and used for direct module execution.
Why this server?
Offers a Python API for starting and configuring the MCP server, as well as client libraries for invoking DolphinScheduler tools programmatically through Python.
Why this server?
Provides the runtime environment for the stock information service, supporting data processing and API functionality for stock market data.
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?
Enables AI agents to interact with network data through custom Python tools, allowing for automation tasks and network management operations within Nautobot.
Why this server?
Provides the runtime environment for the MCP server, required as version 12.0 or newer for operation.
Why this server?
Supports Python-based installation and execution using UV package manager for those preferring Python environments.
Why this server?
Implements the Model Context Protocol (MCP) server in Python, allowing clients to interact with the server for model context management through a client-server architecture.
Why this server?
Built using Python with specific version requirements (3.10+) and integration with Python package management
Why this server?
Installs and configures Python-based MCP servers, supporting PyPI packages as MCP server sources
Why this server?
Offers specialized prompt templates for reviewing, documenting, and refactoring Python code with parameter customization.
Why this server?
Provides functionality for managing user profiles, creating and searching posts, and analyzing user data through a simple Python implementation with a local database.
Why this server?
Built on Python, allowing users to run the server and interact with PowerPoint files through Python commands for creating and manipulating presentations.
Why this server?
Utilizes Python as the foundation for implementing the MCP server, with specific requirements for Python 3.12.
Why this server?
Utilizes Python and its ecosystem for implementing the MCP server, requiring Python 3.10+ for operation.
Why this server?
Supports direct Python script execution for running the MCP server, with detailed configuration instructions for Windows, macOS, and Linux environments.
Why this server?
Implements database operations using the pyodbc Python library to provide SQL Server interaction capabilities.
Why this server?
Serves as the runtime environment for the Healthcare MCP Server, supporting both command-line execution and virtual environment management.
Why this server?
Used for model serialization and deserialization, with specific endpoints for loading models and making predictions. Includes potentially dangerous pickle functionality that can allow arbitrary code execution.