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Enables interaction with Descope's Management APIs for searching and retrieving project information.
Enables AI assistants to deeply understand .NET codebases through the Model Context Protocol.
Injects environment variables into Cursor MCP server definitions.
Provides an SSE-based Model Context Protocol server for querying the Open Source Vulnerabilities (OSV) database.
Ensures AI-generated code matches specifications by creating specs, validating output, and suggesting fixes.
Provides a secure, multi-tenant Model Context Protocol (MCP) server framework for modern AI application development.
Enables large language models to safely generate and execute JavaScript code within an isolated .NET runtime environment.
Provides secure, controlled access for AI assistants to perform Ubuntu operating system operations.
Integrates Qwen Code's advanced programming capabilities directly into AI assistants, enabling sophisticated code generation, review, refactoring, and analysis.
Facilitates comprehensive security testing and bug bounty hunting through natural language interaction with large language models.
Empowers AI assistants with real-time browser visibility for generating robust Playwright tests and automation scripts.
Enhances the k6 performance testing workflow by offering script validation, local test execution, rapid documentation search, and AI-powered script generation.
Empower large language models and AI agents to perform Okta management operations using natural language commands.
Enables AI agents to interact with any EVM blockchain using natural language, facilitating a wide range of decentralized finance operations and data queries.
Securely manages API secrets for AI agents, ensuring they access external services without direct key exposure.
Generate high-quality QA datasets from documents and evaluate Retrieval-Augmented Generation (RAG) systems with speed and privacy across various environments.
Enables programmatic interaction and automation of .NET reverse engineering workflows through an MCP server compatible with dnSpy and ILSpy.
Enables AI assistants to control Android emulators and devices via ADB for interaction and debugging.
Integrates AI assistants with the Qase Test Management Platform, enabling interaction with test cases, runs, defects, and other entities.
Offers a comprehensive collection of industry-standard skills and production-grade tools built on the Model Context Protocol (MCP) for AI-assisted development.
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