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

Enables Claude to diagnose and fix Azure Data Factory pipeline failures with automated rollback.

Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.

An auto-generated Multi-Agent Conversation Protocol server that enables interaction with professional golf data through the SportsData.io Golf v2 API.

An MCP Server that enables interaction with Google's Data Labeling API, allowing users to manage datasets, annotations, and labeling tasks through natural language commands.

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.

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.

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 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.

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

A proxy server that connects to IBM watsonx.data remote MCP server, automatically managing IBM Cloud API key token refresh for seamless access to watsonx.data assets and queries.

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.

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.

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.

Converts legacy supply chain databases and file drops into MCP servers for AI agents, enabling direct interaction with closed systems via CLI.

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.