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Add Kabuzz marketplace MCP server #3621

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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -949,6 +949,7 @@ A growing set of community-developed and maintained servers demonstrates various
- **[Jupyter MCP Server](https://github.com/datalayer/jupyter-mcp-server)** – Real-time interaction with Jupyter Notebooks, allowing AI to edit, document and execute code for data analysis, visualization etc. Compatible with any Jupyter deployment (local, JupyterHub, ...).
- **[Jupyter Notebook](https://github.com/jjsantos01/jupyter-notebook-mcp)** - connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks. This integration enables AI-assisted code execution, data analysis, visualization, and more.
- **[k8s-multicluster-mcp](https://github.com/razvanmacovei/k8s-multicluster-mcp)** - An MCP server for interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files.
- **[Kabuzz Marketplace](https://www.npmjs.com/package/@kabuzz/mcp-server)** - AI-native resale marketplace. 49 tools for browsing, listing, buying, selling, negotiating, messaging, shipping, and order management. Built for AI agents from the ground up. [Website](https://kabuzz.com)
- **[Kafka](https://github.com/tuannvm/kafka-mcp-server)** - A Model Context Protocol (MCP) server for Apache Kafka implemented in Go, leveraging [franz-go](https://github.com/twmb/franz-go).
- **[Kafka Schema Registry MCP](https://github.com/aywengo/kafka-schema-reg-mcp)** \ - A comprehensive MCP server for Kafka Schema Registry with 48 tools, multi-registry support, authentication, and production safety features. Enables AI-powered schema management with enterprise-grade capabilities including schema contexts, migration tools, and comprehensive export capabilities.
- **[kafka-mcp](https://github.com/shivamxtech/kafka-mcp)** - An MCP Server for Kafka clusters to interact with kafka environment via tools on messages, topics, offsets, partitions for consumer and producers along with seamless integration with MCP clients.
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