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Aisera MCP Servers

Aisera MCP Servers

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github.com/cyberutkarshCloud & Infra0Updated 81w ago

About Aisera MCP Servers

A collection of MCP servers for Aisera services. The repository currently lists aisera-status, which provides access to Aisera's status page; setup details are documented in its server directory.

Key features

  1. 01Collection organized by server
  2. 02Aisera status-page server
  3. 03Per-server documentation and dependencies

Use cases

  1. 01Check Aisera service status through aisera-status
  2. 02Find the server-specific setup instructions
  3. 03Develop or maintain an individual Aisera server

MCP support

The collection includes aisera-status, an MCP server for Aisera's Status Page. The repository README does not specify its exposed tools or resources.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Aisera MCP Servers

A collection of Model Context Protocol (MCP) servers for Aisera services.

Available Servers

Project Structure

aisera-mcp-servers/
├── aisera-status/          # Status page MCP server
│   ├── aisera_status.py    # Main server implementation
│   ├── test_server.py      # Test suite
│   └── README_GITHUB.md    # Server documentation
├── .gitignore             # Git ignore rules
└── README.md              # This file

Development

Each MCP server is contained in its own directory with its own documentation and dependencies. See the individual server directories for specific setup and usage instructions.

License

This project is licensed under the MIT License - see the LICENSE files in each server directory for details.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.