发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 1651 个服务器,找到满足您需求的完美 MCP。
Provides comprehensive network diagnostic and analysis tools to AI agents for efficient, structured insights.
Automates UI testing for mobile applications using LLMs and Appium.
Transforms AI agents into expert developers by providing comprehensive context, preventing hallucinations, and automating development workflows.
Provides real-time access to Firewalla firewall data and security insights through 28 specialized tools, compatible with any Model Context Protocol (MCP) client.
Automates multi-layered security analysis of codebases using AI-driven insights and static analysis rules.
Leverages AI with Claude Code and Model Context Protocol (MCP) to intelligently refactor and optimize large software repositories.
Analyzes unit test setups, checks coverage, and generates comprehensive test reports for JavaScript/TypeScript projects.
Automates frontend code reviews and intelligently generates unit tests for Phabricator diffs and Git commits.
Provides WHOIS lookup functionality through a Model Context Protocol (MCP) server.
Provides LLMs with comprehensive yet safe access to local filesystem operations and system commands through a robust server.
Automates mobile test generation and management by integrating with frameworks, JIRA, and BDD methodologies.
Builds production-ready Model Context Protocol (MCP) servers with comprehensive infrastructure for AI assistant integration in Rust.
Enables secure, read-only access and intelligent inference for MySQL database operations within client applications.
Enables AI agents to launch, inspect, and interact with Tkinter GUI applications without requiring modifications to the target app.
Establishes a foundational AI kernel to serve as the execution, reasoning, orchestration, and governance core for domestic, enterprise, and sovereign AI systems.
Provides secure filesystem access with path aliasing and an optimized API for Large Language Models.
Automatically validates, secures, and estimates cloud costs for Terraform configurations.
Cleans and normalizes large language model prompts, redacts sensitive information, and standardizes output formats.
Facilitates document request management as a Model Context Protocol server for the DocDocDoc API.
Provides a reference implementation for a Zero Trust Agentic Access-based server.
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