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Exposes Nmap network scanning capabilities as callable tools through a Model Context Protocol (MCP) server.
Provides AI assistants with a semantic long-term memory system to store and retrieve information from diverse sources.
Provides a secure MCP server for sending emails through the 126.com SMTP service.
Integrates the Figma API to provide both a RESTful interface and an MCP server, enabling seamless design data access and automated code generation for AI assistants.
Provides a Model Context Protocol (MCP) server for analyzing Trino database schemas and managing their structure.
Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.
Facilitates service discovery and proxying for Model Control Protocol (MCP) services.
Enable AI assistants to greet users in seven different languages with high performance and reliability.
Implements a Model Context Protocol (MCP) server for managing and summarizing notes.
Enables large language models to seamlessly interact with and manage Notion workspaces.
Extends GitHub Copilot's capabilities by providing intelligent context compression and dynamic model routing for long-lived coding sessions.
Enables applications to provide context for LLMs in a standardized way, separating the concerns of providing context from LLM interaction.
Enables the creation of multiple short URLs with different keywords for the same destination URL in YOURLS.
Implements the Model Context Protocol by integrating with GitHub and Notion to manage tasks and handle webhooks.
Empowers LLM agents to integrate and utilize the Gemini CLI and other developer tools via a standardized JSON-RPC interface.
Enables Model Context Protocol (MCP) compatible clients to interact with Cloudflare D1 databases.
Provides an HTTP API layer to connect and query Odoo instances via XML-RPC for common tasks like retrieving leads, customers, and activities.
Integrates Chroma, an open-source embedding database, with LLM applications via the Model Context Protocol to provide contextual data retrieval.
Facilitates AI assistant operations by evaluating task complexity, verifying environment safety, and documenting complex reasoning processes.
Integrates real-time and forecast weather data from Open-Meteo for use in Model Context Protocol (MCP) compatible applications.
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