"Managing game servers using Pelican panel" matching MCP servers:

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

Enables AI coding agents to import xlsx config tables, audit growth curves, run battle and gacha simulations, and reverse-engineer game spreadsheet formulas through 17 read-only tools backed by deterministic, zero-dependency pure-function engines.

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.

Model Context Protocol server that enables LLMs and AI assistants to retrieve real-time Dota 2 statistics, match data, player information, and game metrics through a standardized interface.

Enables AI agents to interact with Microsoft Fabric by exposing tools for managing workspaces, notebooks, SQL queries, pipelines, and Livy Spark sessions. It provides a comprehensive set of operations for data engineering and analytics tasks using standard Azure authentication.

Enables administrators to manage a Living Atlases Spatial Portal through an AI assistant using plain language, including adding and checking layers, fixing metadata, watching background tasks, managing areas, and running analyses. Changes are previewed and require explicit confirmation, and it only does what the admin UI could do.

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

Enables managing orchestration workflows through tools for creating, preflighting, linting, and running sequences, checking instance status and outputs, sending signals, retrying instances, and inspecting DLQ and usage.

MCP server for managing Tailor Platform resources via tools like create, update, destroy, and search resources, as well as GraphQL queries.

Enables AI clients to serve as a personal career analyst by searching, matching, and explaining job recommendations, managing job applications, and syncing public job boards through standardized MCP tools.

Enables AI assistants to execute read-only SQL against Spark, Hive, and HiveServer2-compatible clusters, discover databases and table schemas, and connect using multiple authentication modes.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.

A Model Context Protocol (MCP) server for managing Apache Superset datasets, metrics, and SQL queries.

Enables MCP-capable agents to interact with Dock workspaces, including reading, creating, updating, and deleting rows, managing workspaces, and retrieving activity logs.

Enables interaction with Shopify store data via GraphQL API, providing tools for managing products, customers, orders, discounts, and more with robust error handling.

A Model Context Protocol server for managing and executing dbt Cloud jobs via Claude, with search, run history, and job triggering capabilities, including safety confirmations.

MCP server for managing Microsoft Fabric notebooks and Dataflow Gen2 via the Fabric REST API. Supports reading, creating, updating, running, and deleting items within workspaces.

A Model Context Protocol (MCP) server that keeps the books for your personal and business finances using double-entry accounting — driven entirely from an LLM.

An interactive tool for visualizing and managing budget allocations across business categories with real-time charts and industry benchmarks. It allows users to adjust spending distributions and compare them against historical trends and startup stage data.

Generates a random number between 1 and 10 using the StupidAPIs service. Part of the Pipeworx MCP gateway providing access to 673+ data sources.

Enables AI clients to query Apache Doris data through a governed semantic metrics layer built on MetricFlow, with raw-SQL discovery as a fallback. It also provides a Semantic Web UI and CLI for managing semantic models, workspaces, credentials, and multi-node deployments.

Enables AI agents to interact with Apache Kafka through natural language, supporting operations like producing/consuming messages, managing topics, and querying brokers, partitions, and consumer group offsets.

Exposes Databricks REST API as MCP tools for managing clusters, jobs, notebooks, SQL queries, Unity Catalog, and more. Enables AI agents to interact with Databricks workspaces through natural language.