MCP Internet Speed Test alternatives

1

Web Analyzer MCP

Intelligent web content analysis and summarization via MCP.

Web Analyzer MCP is an MCP-compliant server designed for intelligent web content analysis and summarization. It leverages FastMCP to perform advanced web scraping, content extraction, and AI-powered question-answering using OpenAI models. The tool integrates with various developer IDEs, offering structured markdown output, essential content extraction, and smart Q&A functionality. Its features streamline content analysis workflows and support flexible model selection.

2 3 MCP

2

@just-every/mcp-screenshot-website-fast

Fast screenshot capture and tiling optimized for AI model workflows.

Provides a fast and efficient command-line tool for capturing high-quality screenshots of webpages, specifically optimized for integration with AI vision workflows via the Model Context Protocol (MCP). Automates image tiling to 1072x1072 pixel chunks for optimal processing and compatibility with tools like Claude Vision API. Includes advanced features such as full-page capture, screencast recording, support for JavaScript injection, configurable viewports, and resource-efficient browser management.

89 8 MCP

3

Dappier MCP Server

Real-time web search and premium data access for AI agents via Model Context Protocol.

Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

35 11 MCP

4

MCP Status Observer

Monitor and query real-time operational status of digital platforms using Model Context Protocol.

MCP Status Observer enables real-time monitoring and querying of service status for major digital platforms and AI providers through the Model Context Protocol (MCP). It supports integration with tools like Claude Desktop for streamlined status checks, incident tracking, and impact analysis across a range of platforms including GitHub, Slack, OpenAI, and Cloudflare. The tool provides detailed component-level insights, incident histories, and resolution statuses, empowering rapid awareness of operational issues and outages.

5 7 MCP

5

mcp-read-website-fast

Fast, token-efficient web content extraction and Markdown conversion for AI agents.

Provides a Model Context Protocol (MCP) compatible server that rapidly fetches web pages, removes noise, and converts content to clean Markdown with link preservation. Designed for local use by AI-powered tools like IDEs and large language models, it offers optimized token usage, concurrency, polite crawling, and smart caching. Integrates with Claude Code, VS Code, JetBrains IDEs, Cursor, and other MCP clients.

111 18 MCP

6

Nexus MCP Server

AI integration without the complexity

Nexus MCP Server implements the Model Context Protocol to provide streamlined AI-powered web search capabilities through OpenRouter and the Perplexity Sonar models. It enables intelligent model search and discovery for MCP-compatible clients such as Claude Desktop and Cursor, supporting context-rich queries and structured citation extraction. The server features robust deployment options, including zero-install NPX execution, and is fully implemented in TypeScript. Its architecture includes production-ready features like error handling, request caching, deduplication, and logging.

16 5 MCP

7

MCP System Monitor

Real-time system metrics for LLMs via Model Context Protocol

MCP System Monitor exposes real-time system metrics, such as CPU, memory, disk, network, host, and process information, through an interface compatible with the Model Context Protocol (MCP). The tool enables language models to retrieve detailed system data in a standardized way. It supports querying various hardware and OS statistics via structured tools and parameters. Designed with LLM integration in mind, it facilitates context-aware system monitoring for AI-driven applications.

73 17 MCP

8

Urlbox MCP Server

Screenshot, PDF, HTML, and markdown generation MCP for websites.

Urlbox MCP Server enables AI clients to generate website screenshots, PDFs, and extract HTML or markdown from web pages via the Urlbox Screenshot API. It supports automated extraction of metadata, cookies, and allows local file downloads. The server is designed to be integrated with LLMs, which can use its tools to capture and process web content on demand via standardized MCP interfaces. Environment variable configuration secures API access, and multiple formats are supported for flexible output.

1 1 MCP

9

OpenAI WebSearch MCP Server

Intelligent web search with OpenAI reasoning model support, fully MCP-compatible.

OpenAI WebSearch MCP Server provides advanced web search functionality integrated with OpenAI's latest reasoning models, such as gpt-5 and o3-series. It features full compatibility with the Model Context Protocol, enabling easy integration into AI assistants that require up-to-date information and contextual awareness. Built with flexible configuration options, smart reasoning effort controls, and support for location-based search customization. Suitable for environments such as Claude Desktop, Cursor, and automated research workflows.

75 18 MCP

10

Open-WebSearch MCP Server

Multi-engine web search MCP server without API keys

Open-WebSearch MCP Server is a Model Context Protocol (MCP) compliant server offering web search functionalities using multiple search engines without the need for API keys or authentication. It provides structured search results with titles, URLs, and descriptions, and enables fetching of article content from supported sources such as CSDN and GitHub. The server supports extensive configuration through environment variables, including proxy settings and search engine customization. Designed for flexibility, it operates in both HTTP and stdio modes, making it suitable for integration into larger systems.

463 78 MCP

11

SearXNG MCP Server

MCP-compliant server integrating the SearXNG API for advanced web search capabilities

SearXNG MCP Server implements the Model Context Protocol and integrates the SearXNG API to provide extensive web search functionalities. It features intelligent caching, advanced content extraction, and multiple configurable search parameters such as language, time range, and safe search levels. The server exposes tools for both web searching and URL content reading, supporting detailed output customization through input parameters. Designed for seamless MCP deployments, it supports Docker and NPX-based installation with rich configuration options.

321 56 MCP

12

VictoriaMetrics MCP Server

Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

87 11 MCP

13

exif-mcp

Offline MCP server for fast, flexible image metadata extraction.

exif-mcp is an MCP server enabling on-demand reading of image metadata for LLMs or human users, operating fully offline. Built with TypeScript and utilizing the exifr library, it rapidly extracts multiple metadata segments from images without relying on external tools. The server exposes a standardized set of tools for accessing EXIF, GPS, XMP, ICC, IPTC, and other metadata. It supports various input formats and is designed for secure and efficient integration with Model Context Protocol workflows.

24 6 MCP

14

Fetcher MCP

Intelligent web content fetching and extraction using Playwright.

Fetcher MCP is a server that fetches and extracts web page content using the Playwright headless browser while supporting the Model Context Protocol. It intelligently processes dynamic web pages with JavaScript, employs the Readability algorithm to extract main content, and supports output in both HTML and Markdown formats. Designed for seamless integration with AI model environments, it offers robust parallel processing, resource optimization, and flexible deployment options including Docker.

906 76 MCP

15

ArXiv MCP Server

Seamless AI access to arXiv papers via MCP interface

ArXiv MCP Server enables AI assistants to search, retrieve, and interact with research papers from arXiv using the Model Context Protocol. It provides programmatic access for paper search, download, reading, and management, supporting integration with MCP-compatible clients. The solution offers both installation via Smithery and manual setup, along with tools for efficient paper handling. Local storage ensures quick access to previously downloaded papers and relevant research prompts.

1,863 134 MCP

16

Globalping MCP Server

Enable AI models to run network tests globally via natural language.

Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.

33 3 MCP

17

JMeter MCP Server

Execute and analyze JMeter tests via Model Context Protocol integration.

JMeter MCP Server enables execution and analysis of Apache JMeter tests through MCP-compatible clients. It provides command-line and programmatic tools for running JMeter tests in GUI and non-GUI modes, parsing and analyzing JTL result files, and generating detailed metrics and reports. Designed for integration with tools that follow the Model Context Protocol, it facilitates seamless performance testing workflows and actionable insights for test results.

47 16 MCP

18

RivalSearchMCP

Advanced MCP server for web research, discovery, and trend analysis.

RivalSearchMCP is an advanced Model Context Protocol (MCP) server designed to streamline web research, content discovery, and trend analysis. It offers tools for multi-engine web search, intelligent content retrieval, website analysis, and AI-driven content insights. The platform includes integrated trends analysis, research workflows with progress tracking, and automated generation of LLMs.txt documentation files. Its anti-detection features, real-time content streaming, and flexible data export options make it ideal for complex research and automation workflows.

10 7 MCP

19

IPLocate MCP Server

Comprehensive IP address geolocation and network intelligence via MCP.

Provides an MCP server interface to IPLocate.io, delivering detailed IP address intelligence including geolocation, network details, privacy detection, and abuse contact information. Easily integrates with popular MCP clients like Cursor and Claude Desktop for seamless IP lookups. Enables users to retrieve geographic, organizational, and security-related data associated with IPv4 and IPv6 addresses by connecting to the IPLocate.io API.

11 5 MCP

20

IP2Location.io MCP server

Geolocation lookup server for IP addresses via Model Context Protocol.

Implements a Model Context Protocol (MCP) server that provides comprehensive geolocation and network details for IPv4 and IPv6 addresses using the IP2Location.io API. Designed for integration with tools like Claude Desktop, it offers asynchronous processing and supports both free and API-key authenticated usage. It returns extensive data such as geographic location, ISP, domain information, proxy detection, and security insights.

12 8 MCP

21

locust-mcp-server

Run Locust load tests via Model Context Protocol integration.

locust-mcp-server provides a Model Context Protocol (MCP) server for executing Locust load tests, allowing seamless connection between Locust and AI-powered development environments. It offers easy configuration, real-time test output, and both headless and UI testing modes. The project features a simple API for customizable load testing scenarios and supports various runtime and user parameters.

9 6 MCP

22

IP Geolocation MCP Server

Enables IP-based geolocation for AI workflows via MCP-compliant tooling.

IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.

36 13 MCP

23

Aiwen MCP Server for IP Geolocation

High-precision IP geolocation and risk analysis via MCP-compatible API server.

Provides an MCP (Model Context Protocol) server interface for Aiwen Technology’s high-precision IP location services, offering a range of geolocation, network, risk, and identity APIs compatible with AI context standards. Supports detailed IP information retrieval, including geolocation to city, district, or street level, network characteristics, industry classification, risk profiling, and user authenticity analysis. Enables seamless AI model integration and context-aware processing by following the MCP protocol.

4 3 MCP

24

k6-mcp-server

A Model Context Protocol server for orchestrating k6 load tests via MCP-enabled clients.

k6-mcp-server implements the Model Context Protocol, allowing users to execute and manage k6 load testing scripts through standardized MCP clients. It provides a simple API, supports custom test durations and virtual users, and offers real-time execution output. The system is configurable via environment variables and can be easily integrated into existing MCP-compatible tooling.

17 8 MCP

25

McGravity

Unified load balancer and proxy for multiple MCP servers

McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

68 3 MCP

26

Bruno MCP Server

An MCP server to run Bruno API test collections via a standardized interface.

Bruno MCP Server provides an MCP-compliant server that enables running Bruno API collections and test suites, delivering detailed results through a standardized protocol interface. It supports the execution of API tests using Bruno CLI, allows integration with environment files and variables, and returns comprehensive success, summary, failure, and timing information. Designed for integration with LLMs such as Claude, it allows automated AI agents to initiate and analyze API collection runs. Deployment is streamlined through tools like Smithery and straightforward configuration for desktop use.

32 8 MCP

27

MacOS Resource Monitor MCP Server

Lightweight MCP server for monitoring CPU, memory, and network usage on macOS.

MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

16 3 MCP

28

Currents MCP Server

Connect AI agents to test results context via Currents MCP Server.

Currents MCP Server provides a standardized Model Context Protocol (MCP) server for integrating test results and debugging data into AI agents. It enables seamless communication between CI test data in Currents and AI-powered tools, such as Cursor Editor and Claude Desktop, facilitating actions like test optimization and failure diagnosis. The server exposes a suite of tools for retrieving detailed project, run, and performance metrics and is easily configurable via command-line for development and integration. Secure handling of API keys and support for local development are included.

14 6 MCP

29

IP Find MCP Server

A Model Context Protocol server for IP location lookups by AI assistants.

IP Find MCP Server acts as a Model Context Protocol (MCP) server, allowing AI assistants to access geolocation data from the IP Find API. It connects the IP Find API with AI tools, enabling the retrieval of IP address location information in standardized contexts. Designed for integration with MCP clients such as the Claude Desktop App, it simplifies configuration and secure API key management. The server is certified by MCPHub.

2 6 MCP

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Maven Tools MCP Server

Universal Maven Central dependency intelligence server for JVM build tools via the Model Context Protocol.

Maven Tools MCP Server provides an MCP-compliant API delivering rich Maven Central dependency intelligence for JVM build tools like Maven, Gradle, SBT, and Mill. It enables AI assistants to instantly analyze, interpret, and recommend updates, health checks, and maintenance insights by reading maven-metadata.xml directly from Maven Central. With Context7 integration, it supports orchestration and documentation, enabling bulk analysis, stable version filtering, risk assessment, and rapid cached responses. Designed for seamless integration into AI workflows via the Model Context Protocol.

14 2 MCP

31

GIS MCP Server

Empower AI with advanced geospatial operations via Model Context Protocol.

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

70 21 MCP

32

magg

Meta-MCP aggregator and manager for LLM capability extension.

Magg is a server that implements the Model Context Protocol (MCP), acting as a central aggregator and proxy for multiple MCP servers. It enables Large Language Models (LLMs) to dynamically discover, add, configure, and manage external tools at runtime. By aggregating tools from different MCP servers under unified namespaces, it streamlines capability management and introduces features such as configuration persistence, authentication, and real-time notifications. Magg offers both command-line and Docker deployment, with support for HTTP, stdio, and in-memory transport.

62 14 MCP

33

cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

34

Meta Ads MCP

AI-powered Meta Ads campaign analysis and management via MCP

Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

342 86 MCP

35

sslmon-mcp

Domain registration and SSL certificate monitoring via Model Context Protocol.

sslmon-mcp is a Model Context Protocol (MCP) compliant server that enables querying domain registration details and SSL certificate information for any given domain. It offers both HTTP-based remote service and a local NPX server for integration with AI tools and platforms. The tool helps automate security monitoring, domain lifecycle management, and certificate validity tracking via standardized API endpoints.

1 4 MCP

36

Flowcore Platform MCP Server

A standardized MCP server for managing and interacting with Flowcore Platform resources.

Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

9 5 MCP

37

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

38

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

39

WebSearch-MCP

Real-time web search for AI assistants via Model Context Protocol.

WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.

19 7 MCP

40

dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

41

Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

42

mcp-code-runner

A Docker-based code runner implementing the MCP protocol

mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

14 4 MCP

43

AI Distiller (aid)

Efficient codebase summarization and context extraction for AI code generation.

AI Distiller enables efficient distillation of large codebases by extracting essential context, such as public interfaces and data types, discarding method implementations and non-public details by default. It helps AI agents like Claude, Cursor, and other MCP-compatible tools understand project architecture more accurately, reducing hallucinations and code errors. With configurable CLI options, it generates condensed contexts that fit within AI model limitations, improving code generation accuracy and integration with the Model Context Protocol.

106 12 MCP

44

AutoMobile

Powerful tools for mobile automation, test authoring, and device management via MCP.

AutoMobile provides a comprehensive set of tools for mobile automation, focusing on UI testing and development workflow automation. It operates as an MCP Server, enabling a robust interaction loop for model-driven actions and observations. The solution supports Android platforms with features like automated test authoring, multi-device management, and seamless CI test execution. AutoMobile also offers source mapping and deep view hierarchy analysis to enhance code rendering accuracy.

63 8 MCP

45

BlockBeats MCP Server

Delivering real-time blockchain news and in-depth articles to AI agents via MCP.

BlockBeats MCP Server provides AI agents with access to the latest blockchain news and detailed articles from BlockBeats through an MCP-compliant server. Featuring rapid retrieval of news and in-depth content across multiple languages, it supports integration with clients such as Claude Desktop. The server offers two main tools for fetching fast news updates and comprehensive articles, enabling seamless knowledge delivery for AI systems.

8 6 MCP

46

mcp-server-templates

Deploy Model Context Protocol servers instantly with zero configuration.

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

5 1 MCP

47

Webhook Tester MCP Server

Modular server for managing, inspecting, and automating webhooks with FastMCP.

Webhook Tester MCP Server provides a modular FastMCP-based server to automate and manage Webhook tokens (URLs), inspect incoming requests, and perform analytics without custom API integration. Built with the FastMCP framework, it exposes resources and tools for webhook observability and management. The server handles creation, listing, detail fetching, payload inspection, and deletion of webhooks, ensuring integration and automation of webhook workflows. It is easily configurable for use with Claude Desktop and supports demo testing for streamlined development.

8 4 MCP

48

nerve

The Simple Agent Development Kit for LLM-based automation with native MCP support

Nerve provides a platform for building, running, evaluating, and orchestrating large language model (LLM) agents using declarative YAML configurations. It supports both client and server roles for the Model Context Protocol (MCP), allowing seamless integration, team collaboration, and advanced agent orchestration. With extensible tool support, benchmarking, and LLM-agnostic handling via LiteLLM, it enables programmable and reproducible workflows for technical users.

1,278 109 MCP

49

MXCP

Enterprise-Grade Model Context Protocol Framework for AI Applications

MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.

49 6 MCP

50

JVM MCP Server

Lightweight multi-agent protocol server for JVM monitoring and diagnostics.

JVM MCP Server provides a lightweight, zero-dependency server that implements the Multi-Agent Communication Protocol for monitoring and diagnosing Java applications. It leverages native JDK tools to enable powerful AI agent interactions for gathering JVM metrics, analyzing memory and threads, and performing advanced diagnostics without relying on third-party software. The server supports both local and remote Java environments through SSH, ensuring cross-platform compatibility and secure operation.

71 15 MCP

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