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Enables secure interaction with OceanBase databases for AI assistants through a controlled interface.
Generates a Software Bill of Materials (SBOM) in CycloneDX format by performing a Trivy scan.
Enables AI-powered tasks within your terminal using agents and MCP.
Performs geospatial calculations and coordinate system conversions.
Connects AI agents to Minecraft servers, enabling comprehensive control over in-game bots and execution of predefined skills.
Aggregates tools from multiple MCP servers into a vector database, enabling Large Language Models to efficiently search and utilize a collective set of capabilities.
Integrates a Model Context Protocol (MCP) server to inject dad jokes into your development workflow, perfect for lightening the mood during code reviews, team meetings, or quick laugh breaks.
Enables AI models and assistants to securely interact with and manage Windows operating systems through a well-structured interface.
Demonstrates the Model Context Protocol (MCP) for AI assistants to interact with external tools and data sources.
Manages contexts and to-dos across coding sessions, providing AI feedback from multiple large language models for enhanced development workflows.
Connects AI assistants to Todoist for seamless task management, enabling intelligent creation, organization, and completion of tasks, projects, sections, and labels.
Facilitates structured, step-by-step reasoning by enabling the creation, persistence, and recall of thought processes across various AI assistants and sessions.
Connects AI agents to Google Maps Platform APIs for real-world location intelligence, directions, geocoding, and road network data.
Provides a RESTful API and MCP support for automated Baidu AI search, extracting results via a headless browser.
Provides secure and high-performance file system access and manipulation capabilities for Model Context Protocol (MCP) clients.
Enables programmatic access to Apple's container command-line interface tool on macOS via a Model Context Protocol server.
Provides a read-only Model Context Protocol (MCP) server to access Slack workspace channels, messages, threads, and user information.
Enables AI agents to securely read and write data to an Atomic CRM instance via the Model Context Protocol (MCP).
Enhances AI assistant capabilities by providing deep contextual awareness of software projects through semantic code search and persistent memory.
Enables AI assistants to manage translation assets and localizations through the Loco API.
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