"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

Manage Apache Kafka on Kubernetes via Strimzi. Clusters, topics, users, connectors, MirrorMaker2, and node pools.

Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.

Provides a set of tools to interact with Tecton clusters, manage feature stores, and execute Tecton CLI commands through the Mission Control Protocol.

Enables MCP-capable clients to monitor and manage Apache Kafka clusters, including topics, partitions, configs, and consumer groups with lag, while enforcing configurable security modes, topic allowlists, protected topics, and audit logging.

MCP server for EMQX that exposes 39 tools across 7 categories for managing clusters, clients, topics, messaging, access control, diagnostics, and data integration, with a web GUI and layered safety controls.

MCP server for Amazon MWAA that enables managing Airflow environments, DAGs, runs, task instances, and configurations through natural language, using secure AWS-native API access and read-only by default.

An MCP server for executing Malloy queries and managing Malloy resources.

Enables interaction with Apache Pulsar clusters through MCP-compatible clients, supporting publish, consume, topic management, and connector operations.

MCP server for the BAIC Data Layer. Provides tools to manage sources, knowledge bases, knowledge clusters, run data agents, and create/manage pipelines.

Enables AI agents to manage Databricks Lakeflow jobs by building and uploading Python wheels and triggering runs with specific arguments. It provides a structured way to orchestrate complex data experiments and monitor execution directly on Databricks clusters.

Enables users to execute SQL queries, manage workgroups, databases, tables, and named queries in AWS Athena through natural language.

Enables unified access to both structured databases (PostgreSQL, MySQL, SQLite, etc.) and unstructured object storage (AWS S3, Alibaba OSS, Huawei OBS, etc.) through a single interface.

Assists with SQL dialect transpilation, PySpark code optimization, and AWS Glue integration for data engineering tasks.

MCP Server for executing XPath queries on XML content

Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.

Exposes Kafka administration operations as MCP tools, enabling AI agents to inspect Kafka clusters using natural language.

Reference implementation of KIP-1318, a secure Model Context Protocol server for Apache Kafka that enables AI agents to interact with Kafka clusters through governed tools and resources.

Enables managing the full data quality lifecycle through Claude Desktop, including data exploration, profiling, validation, duplicate detection, reconciliation, workflows, schedules, and execution monitoring.

An MCP server that exposes VeloDB analytics data to AI clients through a governed semantic metrics layer (MetricFlow) and raw SQL fallback, with multi-workspace isolation, staging workflows, and a web UI for managing models.

Enables LLMs to interact with Dremio data platforms for querying, analyzing data patterns, and exploring metadata through natural language, with support for both local and production Kubernetes deployments.