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Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Enables AI assistants to interact with the Unity Editor for game development workflows.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Enables AI assistants to access and search official Microsoft documentation in real-time.
Connects language models to a Qdrant vector database for storing and retrieving information.
Facilitates the integration of AI models into daily workflows through agent-based frameworks and command-line tools.
Enables interaction with Text to Speech and audio processing APIs for MCP clients.
Integrates Azure DevOps capabilities directly into development environments by providing a local server that enables interaction with various services.
Control Unreal Engine through natural language using the Model Context Protocol (MCP).
Summarizes chat messages based on user queries.
Enables on-premises conversational retrieval augmented generation (RAG) with configurable containers and optional ChatGPT or Claude integration.
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Enables seamless integration of Stripe APIs into agentic workflows using popular agent frameworks.
Provides example applications demonstrating the use of the Spring AI project.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Connects local LLMs (via Ollama) to Model Context Protocol (MCP) servers, allowing open-source models to use external tools.
Connects Slack workspaces to Model Context Protocol (MCP) for enhanced integration with AI models.
Enables Claude Code as a one-shot MCP server, allowing LLMs to directly leverage Claude's coding capabilities.
Proxies requests from a client to JetBrains IDEs such as IntelliJ, PyCharm, WebStorm, and Android Studio.
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