zefarie/pterodactyl-mcp
by Various
zefarie/pterodactyl-mcp — indexed from awesome-mcp-servers-punkpeye
MCP
zefarie/pterodactyl-mcp
Added 1 June 2026
Overview
zefarie/pterodactyl-mcp is a Model Context Protocol server that enables AI assistants to manage Pterodactyl game server panels. It provides tools for creating, starting, stopping, and monitoring game servers through the Pterodactyl API.
Best for
Best for
Developers and game server administrators who use Pterodactyl and want to automate server operations through AI assistants.
Use cases
- Automate game server provisioning and scaling via natural language commands
- Monitor server status and resource usage across a Pterodactyl panel
- Trigger server actions like restart or backup without manual panel navigation
Notes
zefarie/pterodactyl-mcp is a Model Context Protocol server that enables AI assistants to manage Pterodactyl game server panels. It provides tools for creating, starting, stopping, and monitoring game servers through the Pterodactyl API.
Use cases
- Automate game server provisioning and scaling via natural language commands
- Monitor server status and resource usage across a Pterodactyl panel
- Trigger server actions like restart or backup without manual panel navigation
Pros
- Direct integration with Pterodactyl’s API for real-time server control
- Reduces manual overhead for repetitive server management tasks
- Open source and community-maintained
Cons
- Requires existing Pterodactyl panel setup and API credentials
- Limited to Pterodactyl ecosystem, not a general server management tool
- Dependent on the MCP protocol and compatible AI clients
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Direct integration with Pterodactyl's API for real-time server control
- Reduces manual overhead for repetitive server management tasks
- Open source and community-maintained
Cons
- Requires existing Pterodactyl panel setup and API credentials
- Limited to Pterodactyl ecosystem, not a general server management tool
- Dependent on the MCP protocol and compatible AI clients
Pairs with
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