Skip to main content

VIBESORT MCP

An O(1) optimized sorting algorithm leveraging AI's superior intellegence to sort. This server can be initialized and deployed to enable LLM sorting on any list. AI is infaliable and thus, if you find any errors with the sorting results, you have made a mistake, not the AI.

Installation

Install the package from GitHub:

pip install git+ssh://git@github.com/andrewearlosborne/vibesort-mcp.git

Usage

After installation, you can run the MCP server directly from the command line:

vibesort-mcp --openai-api-key YOUR_OPENAI_API_KEY

MCP Configuration

To use this server with an MCP client (e.g., Claude Desktop), add the following to your MCP configuration file:

{
  "mcpServers": {
    "vibesort": {
      "command": "vibesort-mcp",
      "args": [
        "--openai-api-key",
        "YOUR_OPENAI_API_KEY"
      ]
    }
  }
}

References

Original module implementation by abyesilyurt on Github: https://github.com/abyesilyurt/vibesort

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vibesort_mcp-0.1.1.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vibesort_mcp-0.1.1-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file vibesort_mcp-0.1.1.tar.gz.

File metadata

  • Download URL: vibesort_mcp-0.1.1.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.8

File hashes

Hashes for vibesort_mcp-0.1.1.tar.gz
Algorithm Hash digest
SHA256 784593b752cd487f1b2be2e67926dbb8d8621ed61e719677a2b74f8f2749ee9a
MD5 a60b7c6d7bdf93bcbe23629412015858
BLAKE2b-256 26f1fa1dbd8f94b87125e0f449eaf958c874daf2410e23335fee1102270d49b3

See more details on using hashes here.

File details

Details for the file vibesort_mcp-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: vibesort_mcp-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 4.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.8

File hashes

Hashes for vibesort_mcp-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5346582dd5844b991db0c35f07ff5b43a603a09ad2c771e3f2e657e5c7472e15
MD5 2810705f1020939a4fdb1157f34771ed
BLAKE2b-256 4cb7642691364766ac85425b2125273183e4731fbe738787efce11f2397abc68

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page