Python is a programming language that lets you work quickly and integrate systems more effectively.
Why this server?
Provides Python-based functionality for rule creation, data querying, and alert management through PyPI package distribution.
Why this server?
Provides a Python client interface for interacting with the MCP server and executing Semgrep scans programmatically.
Why this server?
Built with Python (3.12+) as the underlying language, providing the runtime environment for the MCP server implementation.
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?
Enables running the MCP server directly using Python via the python -m norman_mcp command for direct execution.
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?
Serves as the runtime environment for the MCP server, with commands referencing Python's interpreter for executing the server
Why this server?
The Databutton MCP server helps build and deploy Python APIs/MCPs for creating business applications.
Why this server?
Supports Python 3.10 for the implementation of the server that integrates with ScapeGraph AI
Why this server?
Provides a Python API wrapper for programmatic access to torrent search functionality
Why this server?
Supports direct integration with Python applications through a wrapper library that can be imported and used programmatically.
Why this server?
Provides direct out-of-the-box language server support for Python, enabling semantic code analysis and editing capabilities
Why this server?
Enables creation and management of custom Python-based MCP servers that can be integrated with the proxy.
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?
Utilizes Python 3.10+ as the implementation language for the MCP server's wallet analysis functionality, with the server being installable and runnable through Python package management tools.
Why this server?
Implemented as a Python library that enables LLM assistants to directly call Zaif API functions through natural language commands.
Why this server?
Requires Python 3.8 or higher as the runtime environment for the MCP server.
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?
Leverages Python GIS libraries (Shapely and PyProj) to provide geometric operations, coordinate transformations, and geodetic calculations for AI assistants.
Why this server?
Required for running the MCP server, with Python 3.7+ specified as a prerequisite
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?
Supports code analysis using tree-sitter for Python files (.py) and code execution for Python
Why this server?
Built on Python with specific version requirements (3.8+), leveraging Python's ecosystem for the MCP server implementation.
Why this server?
Provides a Python-based interactive environment for executing commands and scripts within projects, with real-time output display.
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?
Built on Python 3.11+ with asyncio for efficient performance in handling time-related requests
Why this server?
Supports context-based voice selection when discussing Python, using specific voices like 'antoine'
Why this server?
Required runtime environment for AWS Security MCP, version 3.11+ needed to execute the server.
Why this server?
Built using Python SDK for MCP implementation, requiring Python 3.9+ for server installation and operation.
Why this server?
Required runtime (version 3.11+) for running the MCP server
Why this server?
Serves as the implementation language for the MCP server, with specific dependencies including unstructured-client for API interaction
Why this server?
Allows LLMs to execute Python code within a specified Conda environment with access to libraries and dependencies
Why this server?
Supports running the mindmap conversion server through Python, with options for different return types and configuration parameters
Why this server?
Provides access to the MCP server functionality through Python, offering an alternative programming interface for macOS automation.
Why this server?
Uses Python dependencies through 'uv' for file conversion capabilities
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?
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?
Offers template-based creation of Python MCP servers, enabling development and execution of Python-based Model Context Protocol implementations.
Why this server?
Built on Python 3.13+, offering a Pythonic implementation of the MCP server for Azure FHIR integration.
Why this server?
Offers a Python-based implementation of the MCP server that connects to Typesense.
Why this server?
Offers a Python package installation option for running the AgentMode server without VS Code
Why this server?
Provides tools to search and retrieve Python documentation to answer specific queries about the Python programming language
Why this server?
Provides a Python-based framework for developing custom tools, with support for virtual environments and modular design patterns.
Why this server?
Enables symbol extraction and analysis from Python files, providing AI assistants with contextual understanding of Python code structure.
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?
Uses Python to implement the server and interact with Africa's Talking Airtime API to send and manage airtime transactions.
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?
Requires Python 3.10+ as the runtime environment for the MCP server implementation.
Why this server?
The MCP server is built on Python and requires Python 3.10+ for operation.
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?
Built for Python 3.13+ environments, providing a Python-based implementation of the web content fetching capabilities.
Why this server?
Supports execution of Python code snippets with output display
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?
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?
Built for Python with support for specific Python versions as indicated by the Python Versions badge.
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?
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?
Runtime environment for the BICScan MCP Server when not using Docker.
Why this server?
Requires Python 3.12 or higher for running the server
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?
Supports traditional Python setup using the uv package manager for installation and running the MCP server with various transport options.
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?
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?
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?
Enables searching through Python-specific AWS Lambda Powertools documentation to find relevant implementation guides, features, and usage examples.
Why this server?
Provides Python 3.8+ runtime support for running the MCP server and accessing Amazing Marvin tasks and projects.
Why this server?
Offers access to PubNub's Python SDK documentation, enabling users to fetch docs for methods like publish() directly through Cursor IDE.
Why this server?
Utilizes Python as the runtime environment with specific version requirements (>=3.10)
Why this server?
Provides a code interpreter tool for executing Python code in a sandboxed environment for data analysis and computation.
Why this server?
Integrates with Python environment, offering access to Optuna's hyperparameter optimization capabilities through a standardized interface.
Why this server?
Offers Python implementation of the MCP server through a dedicated PyPI package (mcp-server-baidu-maps).
Why this server?
Server implementation that exposes customizable prompt templates, resources, and tools for AI-assisted development
Why this server?
Used for running the Microsoft MCP server implementation and authentication scripts.
Why this server?
Provides Python-based tools for mathematical operations, specifically offering a simple addition tool that adds two integers and returns the result.
Why this server?
Enables interaction with Python environments, including executing code, managing packages, reading and writing files, and handling development workflows across different Python installations.
Why this server?
Serves as the runtime environment for the knowledge base with specific version requirements (3.12+)
Why this server?
Provides the runtime environment for the MCP server implementation, requiring Python 3.10+ for operation
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?
Supports direct invocation via Python interpreter as an alternative configuration option for running the MCP server with AI clients.
Why this server?
Provides a custom Python client interface for interacting with the Pearl MCP Server through the MCP client session API
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?
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?
Requires Python 3.8+ as the runtime environment for the MCP server
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?
Provides the runtime environment for the MCP server, requiring Python 3.12 or higher
Why this server?
Built on Python, allowing execution of Python-based data analysis and Excel management operations.
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?
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?
Allows passing any Python code directly to Claude, enabling execution of custom Python functions through the MCP server
Why this server?
The implementation language for the server, which handles all API interactions with Whissle
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 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?
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?
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?
Uses Python as the foundation for building and extending the MCP server functionality
Why this server?
Provides a sandboxed Python environment for executing code and scripts.
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?
Requires Python 3.8+ for the MCP server with support for executing Python scripts on remote servers.
Why this server?
The server is built on Python 3.11+ and requires Python for execution.
Why this server?
Parses Python code with a custom parser for analysis and visualization
Why this server?
Built on Python 3.10+, leveraging the Python ecosystem for data processing and API integration.
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?
Parses Python projects to extract code structure, relationships, and metrics for analysis
Why this server?
Leverages Python for the server implementation, with comprehensive support for workspace context management through the Python-based MCP interface.
Why this server?
Provides a tool for searching people using the Pearch.ai API, allowing customizable parameters like search type, result limit, and timeout.
Why this server?
Used as the implementation language for the MCP server and required for running it
Why this server?
Provides Python API for interacting with the TTS engine, supporting various speech synthesis operations and batch processing
Why this server?
Built with Python 3.10+, utilizing Python's capabilities for data processing and API integration with the MLB Stats API.
Why this server?
Core programming language required to run the server (3.10+)
Why this server?
Offers deep integration with Python for server implementation, configuration management, and execution environment.
Why this server?
Powers the server-side components of the MCP, processing commands and managing communication between the web UI and After Effects.
Why this server?
The MCP server requires Python 3.12+ and provides Python-based tools for Windows automation and integration.
Why this server?
Supports development in Python with dedicated structure for implementing MCP servers.
Why this server?
Required as the runtime environment for the ZMCP application
Why this server?
Built on the MCP Python SDK to implement calculation capabilities, leveraging Python's numerical processing abilities for accurate arithmetic operations.
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 alternative MCP server implementation in Python for developers working in that language.
Why this server?
Provides runtime environment for the MCP server with specific integration for different Python environments (Windows vs Dev Container contexts)
Why this server?
Analyzes Python projects for security vulnerabilities, hardcoded secrets, and code quality issues.
Why this server?
Serves as the foundation for building tools that interact with Tushare's financial data APIs, providing comprehensive stock market data query capabilities.
Why this server?
Runtime environment required for the MCP server, with version 3.10+ needed to execute the enterprise data service.
Why this server?
Leverages Python for tool creation, enabling users to write Python files with an invoke() function that are automatically exposed as tools to MCP-compatible AI clients.
Why this server?
Serves as the implementation language for the MCP server, with the server communicating via JSON-RPC over stdin/stdout to provide energy grid information tools.
Why this server?
Implements a Python-based MCP server for interacting with Aseprite, requiring Python 3.13+ to operate and offering Lua script generation for Aseprite operations.
Why this server?
Provides a secure Python execution environment in isolated microVMs, with support for NumPy, Pandas, and other data analysis libraries
Why this server?
Offers Python client implementations for all server functionalities, enabling integration of privateGPT capabilities into Python applications.
Why this server?
Built using Python for implementation of the MCP server and client interactions
Why this server?
Provides the foundation for defining MCP tools, resources, and prompts using Pythonic decorators and classes, allowing for easy extension of server capabilities.
Why this server?
Built on Python with specific version requirements (3.12+) for running the MCP server.
Why this server?
Built using the OpenFGA Python SDK and MCP Python SDK, requiring Python 3.10+ for operation
Why this server?
Built for Python projects with specific version requirements (3.10+), providing static taint analysis for Python code.
Why this server?
Built with Python and requires Python 3.10 or higher to enable Excel workbook creation, analysis and conversion
Why this server?
Built on Python 3.9+ as the implementation language for the ServiceNow MCP server.
Why this server?
Leverages the psutil Python library to collect and provide system CPU and memory statistics through the MCP server
Why this server?
Provides Python-based implementation of the MCP server with support for context management and messaging
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?
Built on Python with specific requirements for version 3.12 or higher, using Python's ecosystem for the controller emulation server.
Why this server?
Provides sandboxed Python code execution with security controls including memory limits, execution timeouts, and library restrictions.
Why this server?
Supports listing installed Python packages and likely executing Python scripts through the bash interface.
Why this server?
Provides access to Wind API financial data services through Python, enabling retrieval of real-time market quotes, historical series data, and cross-sectional data via tools like wind_wsq, wind_wsd, and wind_wss.
Why this server?
Integrates with WindPy, a Python-based financial data interface, allowing AI models to query real-time financial data, execute complex date calculations, and access Wind API functionality for financial analysis.
Why this server?
Generates Python scripts using pywin32 to automate SolidWorks operations, including creating parts and drawings.
Why this server?
Powers the MSSQL MCP server implementation, allowing for database operations and business intelligence capabilities
Why this server?
Allows implementation of MCP servers using Python, mentioned as one of the languages used in the sample.
Why this server?
Requires Python 3.12+ as the runtime environment, with specific installation instructions for setting up the server with Python dependencies.
Why this server?
Uses Python to run the MCP server, enabling access to Alpaca's trading functionality through Python scripts and applications.
Why this server?
Exposes Python Rope refactoring library capabilities to users, enabling symbol renaming, method extraction, code analysis, and object information retrieval for Python codebases.
Why this server?
Uses Python as the implementation language, with dependencies installed via pip or uv
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?
Built on Python with requirements for Python 3.10+ runtime environment.
Why this server?
Used as the foundation for implementing the MCP server, with the README specifying Python 3.8+ as a prerequisite for running the server.
Why this server?
Enables building MCP agent applications as Python scripts, providing a programmatic interface for agent creation and management.
Why this server?
Built on Python with version 3.8+ support for data analytics operations
Why this server?
Used as the implementation language for the MCP server and custom tools
Why this server?
Enables interaction with Unreal Engine through Python scripts, allowing for programmatic control of engine features including spawning actors, creating Blueprints, setting up game elements, and automating editor operations.
Why this server?
Specifies Python 3.10+ as a requirement for the MCP server functionality
Why this server?
Connects to ProAlpha MSSQL databases, automatically captures database schemas, and provides read-only SQL query capabilities through a Python-based MCP server
Why this server?
Built on Python 3.8+ with full async support for 3D model processing
Why this server?
Required as a dependency for the MCP server, but not directly integrated as a service
Why this server?
Offers Python-based integration for accessing the PPT generation service programmatically, allowing developers to implement the MCP protocol in Python applications.
Why this server?
Leverages the kroger-api Python library to interact with Kroger's API for finding stores, searching products, managing shopping carts, and accessing grocery data
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?
Leverages Python for implementing the MCP server, with support for Python 3.9+ environments and package management.
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?
Uses the Python MCP SDK to build the server, requiring Python 3.12+ for operation.
Why this server?
Provides the runtime environment for the MCP server implementation.
Why this server?
Enables using the RevenueBase MCP server with Python applications through the MCP Python SDK, allowing developers to verify emails and manage batch processing programmatically.
Why this server?
Serves as the runtime environment for the MCP server, allowing execution of the server script for email verification and finding functionality.
Why this server?
Provides the implementation environment for the LinkedIn profile analyzer MCP server.
Why this server?
Interfaces with CODESYS's internal Python 2.7 scripting engine to enable automation tasks and code manipulation.
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 comprehensive vulnerability checking for Python packages, including version-specific vulnerability detection and security reporting.
Why this server?
Powers the core functionality of the EPSS MCP server, providing the runtime environment and language support for retrieving and processing vulnerability data.
Why this server?
Provides a FastMCP framework interface for executing Microsoft SQL Server database queries and retrieving table structure information through Python-based client applications.
Why this server?
Implemented in Python with support for Python 3.8+ environments.
Why this server?
Requires Python environment (3.8+) for running the MCP server
Why this server?
Built using Python and FastMCP, allowing for development of tools that interact with Zillow's Bridge API to retrieve and process real estate data.
Why this server?
Serves as the core programming language for the multi-agent architecture, integrating the Brain, Eye, Ear, and Mouth agents
Why this server?
Requires Python 3.9 or higher as the runtime environment for the MCP server
Why this server?
Utilizes Python as the foundation for implementing the MCP server, with specific requirements for Python 3.12.
Why this server?
Provides an interface for AI agents to interact with KevoDB, a key-value database, enabling operations like basic key-value operations, range/prefix/suffix scans, transactions, batch operations, and database statistics retrieval.
Why this server?
Serves as the implementation language for the voice recognition service, with specific commands for running the service and installing required dependencies.
Why this server?
Leverages Python libraries like python-pptx for programmatically creating and manipulating PowerPoint presentations, enabling slide creation, content insertion, and presentation formatting.