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Enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's document and knowledge management API.
Enables AI large language models with efficient and precise code repository retrieval using the Model Context Protocol.
Exposes Dify workflows as a Model Context Protocol (MCP) server for integration with AI clients.
Enables interaction with debuggers using the Model Context Protocol to enhance debugging workflows.
Provides access to Autodesk Platform Services API with fine-grained access control via the Model Context Protocol.
Checks domain name registration status in bulk via a Model Context Protocol implementation.
Enables sending various types of messages to a WeCom group robot.
Enables building Model Context Protocol (MCP) clients and servers in Go.
Enables web browsing, search queries, and code execution capabilities for language models.
Provides kanban-based task management state for complex multi-session workflows with LLMs.
Provides a FastMCP server for interacting with Microsoft Graph API to manage EntraID (Azure AD) resources.
Enables interaction with the LinkedIn Community Management API through an MCP server.
Integrates Model Context Protocol (MCP) server capabilities into ElysiaJS applications with HTTP transport.
Accelerates backend and frontend service development using ASP.NET Core and EF Core through intelligent code generation.
Equips AI development and QA workflows with comprehensive documentation and up-to-date code examples for AntV visualization libraries.
Enables intelligent control and monitoring of Xiaomi/Mijia smart home devices through a standardized Model Context Protocol (MCP) service, facilitating dynamic discovery, property management, and action invocation.
Guides GitHub Copilot to generate secure code, block risky patterns, and reinforce safe coding practices across multiple programming languages.
Integrates traditional directory brute-forcing with large language models to automate directory scanning, intelligently analyze results, and identify potential vulnerabilities.
Integrates AI agents with Magento 2 development environments to automate and simplify various administrative and coding tasks.
Provides ephemeral Linux sandboxes for LLM agents to execute shell commands securely.
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