发现我们为 security & testing 精心策划的 MCP 服务器集合。浏览 2073 个服务器,找到满足您需求的完美 MCP。
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Facilitates the integration of PrivateGPT's capabilities as an agent for any Model Context Protocol (MCP)-compatible application.
Provides a backup of a server with a rope tool implementation experiencing issues with import organization.
Performs real-time security scans on codebases for AI agents and LLM-powered IDEs.
Checks if provided context is safe by identifying potential code injection or harmful content.
Facilitates interaction with the AWS Security Hub API using a Multi-Agent Conversation Protocol (MCP) server.
Transforms a Dify application into a Message Communication Protocol (MCP) server endpoint.
Provides reversible anonymization and deanonymization of sensitive information within text messages.
Facilitates seamless, production-ready integration with the Secret Network blockchain through the Model Context Protocol.
Conduct efficient security audits for npm dependencies, providing key insights in standardized formats for local and remote projects.
Validates Dify Workflow DSL YAML files for correctness and adherence to specifications.
Exposes the VaultMesh-Architect skill as explicit, auditable tools, supporting subsystem spawning, multi-chain anchoring, governance entries, and capability issuance.
Provides a unified server to check package versions and metadata across various programming language ecosystems.
Integrate AI agents and automation with CTFd instances for challenge management and flag submission.
Wraps OpenAI's Codex CLI with Ollama backend support, enabling agentic coding tasks to be routed through local or remote models.
Empowers AI assistants with deep code analysis capabilities, including AST-based test generation, OWASP-style security audits, and intelligent refactoring suggestions.
Manages AdGuard Home filtering and settings via the Model Context Protocol.
Ensures AI agents obtain explicit, verified consent before initiating contact with humans, acting as an ethical gateway for proactive interactions.
Empower developers with an in-editor assistant to instantly generate SBOMs, scan for vulnerabilities, verify license compliance, and receive actionable remediation guidance.
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