Alibaba Cloud Ops MCP Server enables seamless integration with Alibaba Cloud APIs, empowering AI agents to automate resource management, monitoring, and DevOps workflows through standardized Model Context Protocol interfaces.
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Integrate your AI assistants with Asgardeo for streamlined identity and access management. The Asgardeo MCP Server lets you manage applications, configure authentication flows, and automate identity operations through natural language and LLM tools.
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Integrate real-time flight tracking into your AI workflows with the Flightradar24 MCP Server. Access live aviation data, monitor flights, and enhance travel and situational awareness in your FlowHunt flows.
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The Inoyu MCP Unomi Server bridges Anthropic’s Model Context Protocol (MCP) with Apache Unomi, empowering AI agents to interact with, manage, and contextualize user profiles and session data for advanced, persistent, and personalized conversations.
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Integrate your AI assistants with the JFrog Platform API using the JFrog MCP Server. Automate repository management, build tracking, runtime monitoring, artifact search, and vulnerability analysis for enhanced DevOps workflows.
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The Kibela MCP Server connects AI assistants to Kibela workspaces, enabling seamless document search, knowledge management, and workflow automation by providing LLMs access to organizational knowledge bases.
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MCP-DBLP is a Model Context Protocol server offering seamless access to the DBLP computer science bibliography for AI agents. It enables advanced academic paper search, citation management, author exploration, BibTeX export, and bibliographic data extraction directly within your LLM workflows.
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FlowHunt's Replicate MCP Server connector allows seamless access to Replicate's vast AI model hub, enabling developers to search, explore, and run machine learning models directly within their workflows. Easily integrate model discovery, information retrieval, predictions, and collection management into your automation flows.
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Connect your AI assistants and workflows with the Rijksmuseum’s vast art collection using the Rijksmuseum MCP Server. Enable natural language exploration, detailed analysis, and high-resolution image access for artworks, artists, and curated collections—all through powerful MCP tooling.
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The Tempo MCP Server enables AI assistants to query and analyze distributed tracing data from Grafana Tempo, streamlining observability, debugging, and system performance analysis for distributed applications.
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