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Provides a secure Model Context Protocol server for time-based operations, featuring timing attack protection and timelock encryption.
Enables interaction with Jira instances using natural language commands through a Model Context Protocol (MCP) server.
Retrieves relevant sections from PDF documents for use within Zed's AI Assistant.
Facilitates integration between LLM applications and Anchor programs via the Model Context Protocol (MCP).
Enables AI tools to interact with Kubernetes clusters using natural language, facilitating advanced automation and interaction.
Serves Swagger/OpenAPI specifications and Postman collections as strategic MCP tools, enabling AI agents to dynamically interact with APIs.
Enables developers to easily utilize the Grype vulnerability scanner within IDEs like Cursor or Claude Desktop.
Integrate and manage Devici platform data, including users, threat models, and security insights, through a Model Context Protocol (MCP) server for LLMs.
Solve complex combinatorial and numerical optimization problems with a unified interface to multiple powerful solvers, empowering AI assistants.
Provides OpenFeature SDK installation guidance and enables remote feature flag evaluation via the Model Context Protocol (MCP) over stdio.
Converts Swagger/OpenAPI specifications into Model Context Protocol (MCP) tools, enabling interaction with APIs through a standardized protocol.
Converts various document formats like PDF, DOCX, and PPTX into images (PNG, JPEG) and other document types.
Orchestrates a private local AI assistant that combines open-source LLMs and RAG to interact with personal documents and provide real-time information.
Enables AI assistants to interact with the Bit2Me digital assets platform for real-time market data, wallet management, and trading operations.
Empowers AI development by enabling agents to learn from past experiences, reducing repetitive trial-and-error and optimizing token usage.
Provides an enterprise-grade MySQL server for AI-enabled IDEs, offering secure database management with OAuth 2.0 authentication and efficient connection pooling.
Guides large language models in applying modern design principles and best practices for web page generation.
Provides programmatic access to CTFtime.org data, enabling retrieval of CTF competition details, team rankings, and event results through a standardized interface.
Empower AI coding agents with a structured, versioned, and graph-based persistent memory system.
Expose local Ollama API capabilities as tools for AI agents, enabling them to utilize local models for chat, completion, and embeddings.
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