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

Read-only MCP server that proxies The Game Pensieve API over Streamable HTTP, letting AI assistants query a personal game collection via tools like search, filters, and summaries. Supports OAuth 2.1 enforcement and owner-scoped access.

Enables interaction with MySQL databases through tools for listing tables, querying table schemas, executing queries, viewing indexes, and analyzing query execution plans.

An advanced management platform that integrates FastAPI and React TypeScript, providing a modern user interface with SQLite database and action history tracking.

Enables AI tools to query context from a local JSON data source via stdio, demonstrating the Model Context Protocol.

Enables users to manage company departments, employees, expenses, and performance ratings through a natural language interface in Claude Desktop. It features 12 specialized tools for comprehensive CRUD operations and AI-powered organizational analysis using Google Gemini.

Enables reading and browsing ZERO PARADES: For Dead Spies records—skills, items, characters, thoughts, places and more—over MCP stdio, with term lookup, full-text search over records and dialogue, stable-id record retrieval, paginated entity listing, and prefilled planner link generation in English, Spanish, German, Russian and Chinese.

A secure MCP proxy server with JWT authentication, SQL guardrails, rate limiting, and Kafka audit logging, enabling enterprise-grade access control for MCP clients like Cursor and Claude Desktop.

Enables querying and managing a Calagopus game server panel via natural language, covering users, servers, nodes, eggs, databases, backups, and system health. Write operations are opt-in and require explicit confirmation.

Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.

Full-featured MCP server for 1Panel server management panel. Provides 490+ tools for managing websites, databases, containers, files, and more through natural language.

Enables querying and managing a SQLite database using natural language, with an MCP server and Groq LLM.

A read-only MCP server for querying SQL Server Analysis Services (multidimensional cubes via MDX and tabular models via DAX) using Windows Integrated Security.

Enables read-only SQL queries and schema inspection for legacy MySQL 5.0–5.6 deployments using SHOW-based metadata tools, without write operations or modern authentication support.

Lets AI agents query local SQLite database files read-only using Node's built-in sqlite module, providing tools for listing tables, describing schemas, and running SQL queries.

Enables AI assistants to query and export from the macOS Apple Photos library using natural language, backed by osxphotos.

An MCP server that enables MCP-compatible AI tools to read-only query Azure Database for PostgreSQL Flexible Server using your existing Azure CLI login, with auto-discovery, schema inspection, and arbitrary read-only SQL. No passwords or connection strings are stored; authentication uses short-lived Entra tokens.

A unified Model Context Protocol server for data engineering and analytics that lets LLM clients query, profile, transform, and visualize data using DuckDB and PySpark, while keeping raw data out of the model's context through read-only, bounded, and audited operations.

An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.

Enables running read-only SQL queries against Increff Webget database replicas using an authenticated browser session, with mandatory human approval for every query.

Connects AI assistants to Tacit building digital twins to query buildings, equipment, sensors, and zones using natural language. It provides tools for exploring Brick-compliant knowledge graphs, fetching historical sensor data, and accessing site documents.

Enables users to answer California drinking water questions about public water systems, SAFER risk/violation status, source-water chemistry, school lead sampling, and latest tap/treated-water results by ZIP code or water system ID, using curated Databricks Gold views over State Water Board open data.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

Enables exploring and diagnosing a Redis instance from MCP clients with read-only safety, using SCAN instead of KEYS for safe key enumeration.

Enables querying and updating Markdown frontmatter metadata using DuckDB SQL, with optional semantic search capabilities for finding similar documents based on content.

A read-only MCP server that lets AI search and read both sides of a user's own LINE Desktop chat history on macOS using local database snapshots, without needing a LINE Official Account or altering unread state.

🤖 Enable AI assistants (Claude, Cursor) to monitor, diagnose, and query Amazon Redshift using this MCP server and the AWS Data API.

A read-only MCP server that provides tools to read, list, and inspect secrets from HashiCorp Vault's KV secrets engine (versions 1 and 2) using a Vault token.

Enables Claude to answer business questions about stock, orders, customer balances, overdue orders and KPIs from live ERP data using fixed, parameterized read-only queries, with bounded results and every call logged to an audit trail.

A Node.js MCP server that enables Claude Desktop to securely run read-only SQL queries against MariaDB/MySQL and Microsoft SQL Server databases using OAuth 2.0 PKCE authentication. It provides short-lived, per-user credentials that never touch disk, allowing secure database access through natural language interactions.

A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.