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Integrates Google Maps Places and Routes APIs, providing location intelligence and navigation capabilities to AI agents and applications.
Enables MCP clients to interact with GitHub repositories using a personal access token, streamlining repository management and automation.
Enables creation and querying of Apple Reminders via the MCP protocol.
Automates Active Directory enumeration and abuse through an AI assistant interface via the Model Context Protocol.
Empowers AI assistants to interact directly with the Unity Editor, facilitating AI-assisted game development and automation.
Provides a command-line interface for interacting with Google Gemini models, enabling tool usage and persistent semantic memory.
Proxies any GraphQL API, automatically transforming its operations into discoverable and executable Model Context Protocol (MCP) tools for AI agents and developer workflows.
Provides test results context to AI agents by connecting them to Currents.
Enables Claude Desktop to perform AI-powered semantic search and understanding of your codebase using Google's Gemini embeddings and Qdrant Cloud vector storage.
Connects AI agents and large language models with diverse scientific computing resources and datasets via a standardized protocol.
Orchestrates multiple AI models in parallel to prevent hallucinations and improve accuracy through debate and error checking.
Exposes Discourse forum capabilities as callable tools for AI agents via a Model Context Protocol (MCP) stdio server.
Enables the installation and access of ToolsForMCPServer as an extension within the Gemini CLI environment.
Provides a standardized interface to PCILeech for DMA-based memory operations, enabling memory and debug workflows for MCP clients.
Empowers AI assistants to understand, validate, and interact with GoReleaser configurations.
Empowers large language models to continuously learn, synthesize, and leverage knowledge through a lightweight, local-first knowledge management system.
Automate GNS3 network topology creation, management, and simulation using AI-powered natural language commands.
Provides persistent AI memory for code context, decisions, and knowledge across various AI tools and sessions.
Enables a local iMessage Retrieval-Augmented Generation (RAG) server.
Streamlines the development and deployment of tools and prompts for AI model interaction.
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