发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 1745 个服务器,找到满足您需求的完美 MCP。
Orchestrates tests and static analysis for PHP projects, streamlining development workflows.
Investigates git repositories to provide detailed insights into history, branch relationships, and development patterns.
Provides a natural language interface for managing Keycloak identity and access management through its REST API, enabling AI agents to perform various operations.
Integrates enterprise-grade code analysis into Claude Desktop and other Model Context Protocol clients using SonarLint's standalone SLOOP backend.
Enables AI assistants to scan webpages and local files for broken links through a Model Context Protocol (MCP) server.
Enables AI assistants to directly analyze and manipulate Unity IL2CPP applications.
Enables Large Language Models to connect to and utilize SSH servers through a Model Context Protocol (MCP) integration.
Enables secure interaction with OceanBase databases for AI assistants through a controlled interface.
Enables testing of Azure Function Apps locally through Cline.
Analyzes various log formats, including Windows Event Logs, structured, and unstructured text, to provide insights into system activities and issues.
Facilitates AI assistant interaction with the HackTheBox platform, providing programmatic access for CTF management and user activities.
Enables Claude AI to interact with Postman collections and environments via an API.
Executes JavaScript code securely within ephemeral Docker containers, enabling dynamic code generation and testing for AI agents and LLMs.
Provides a high-performance Model Context Protocol (MCP) server for the USPTO Patent Trial and Appeal Board (PTAB) Open Data Portal API, featuring context reduction, hybrid document extraction, and seamless cross-MCP integration for comprehensive patent lifecycle analysis.
Enables Large Language Models to effectively reverse-engineer, navigate, and comprehend minified and bundled JavaScript code.
Enables Large Language Model (LLM) applications to securely manage files, folders, and user information within Kiteworks instances.
Facilitates structured logging of Agentic AI calls to MCP servers, enabling continuous security monitoring and automated remediation.
Serves as a high-volume test server for evaluating semantic tool search capabilities and client resilience.
Provides secure and permission-controlled filesystem operations via the Model Context Protocol.
Decompile Java class and JAR files using CFR for source code analysis and integration into agent workflows.
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