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

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.

Enables users to identify unused columns in Amazon QuickSight SPICE datasets, remove them after confirmation, list and manage snapshots, and roll back changes to reduce storage costs and speed up refreshes.

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

Open-source MCP server and notebook that finds Databricks cost waste (idle clusters, oversized warehouses, Delta tables needing OPTIMIZE/VACUUM) from system tables and proposes reviewable fixes. Read-only.

A tool that converts natural-language requests into full, deployable, execution-verified Apache Flink SQL jobs by orchestrating an LLM to draft specs, generate Flink SQL, and verify correctness against real Flink clusters and streaming semantics—including windowed aggregates, joins, Kafka grounding, and Deployable pipelines via the generate_flink_job, ground_kafka_topic, and deploy_to_kafka tools.

Enables AI agents to safely query and explore Apache Impala clusters with read-only SQL, metadata, statistics, cluster overview, and analysis prompt templates.

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.

Enables managing Hevo Data pipelines from Claude Code, including listing, creating, enabling, disabling, resyncing, and updating pipeline and source configurations.

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

Enables monitoring and managing Debezium/Kafka Connect CDC connectors, including status, configuration, lifecycle operations, and security controls, through natural language in MCP-compatible clients.

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.

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

Enables large language models and AI agents to securely and efficiently interact with Apache Kafka clusters through the Model Context Protocol.

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.

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

An MCP server that tracks newly created liquidity pools on Uniswap across nine blockchain networks.

MCP Server for executing XPath queries on XML content

Enables read-only monitoring and diagnostics of Apache Flink clusters through a JobManager REST endpoint, including job, checkpoint, backpressure, TaskManager, and multi-cluster overviews with LLM-friendly summaries.

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.

Enables AI assistants to interact with Apache Kafka clusters through AKHQ's REST API. Supports multi-environment configuration, flexible authentication, and comprehensive coverage of topics, consumer groups, schema registry, Kafka Connect, ksqlDB, and ACLs.

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.

Model Context Protocol server for managing and diagnosing GlassFlow streaming pipelines, exposing pipeline CRUD, metrics queries, log search, and a composite diagnostic tool as MCP tools that AI agents can call over SSE transport.

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.

Enables searching, analyzing, and managing data packages in a Quilt data catalog through natural language, with 84+ tools including package CRUD operations.