Zentrix Agentic Workbench

Created By

deslito3 months ago

A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.

Overview

what is Zentrix Agentic Workbench?

Zentrix Agentic Workbench is a modular AI workflow platform designed for dataset cleaning and orchestration, specifically aimed at generating high-quality datasets for training conversational AI models.

how to use Zentrix Agentic Workbench?

To use the workbench, you can run the main script in two modes: quick training set creation using existing datasets or full pipeline execution to generate everything from scratch.

key features of Zentrix Agentic Workbench?

Comprehensive pipeline for dataset generation and cleaning.
Integration of synthetic data generation with external datasets.
Validation and normalization of datasets to ensure quality.

use cases of Zentrix Agentic Workbench?

Generating balanced datasets for training conversational AI models.
Cleaning and normalizing datasets for improved model performance.
Orchestrating workflows for multi-tool and file-access tasks.

FAQ from Zentrix Agentic Workbench?

Can I use my own datasets with Zentrix?

Yes! You can integrate your own datasets into the pipeline for cleaning and normalization.

Is there a way to evaluate the dataset quality?

Yes! The project includes tools for evaluating dataset quality using MCP.so.

What programming language is used?

The project is implemented in Python.

Server Config

{
  "mcpServers": {
    "zentrix": {
      "command": "node",
      "args": [
        "dist/server.js"
      ],
      "env": {
        "PORT": "3000",
        "NODE_ENV": "production",
        "DATASET_PATH": "/app/datasets/training_set.jsonl",
        "KIMI_API_KEY": "your-kimi-api-key",
        "KIMI_MODEL": "kimi-v1",
        "LOCAL_API_URL": "http://localhost:3000",
        "PROD_API_URL": "https://your-service-name.mcp.so"
      },
      "mounts": {
        "../final_datasets": "/app/datasets"
      }
    }
  }
}

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