DataWorks MCP Server

Created By
MCP-Mirrora year ago
Mirror of
Overview

what is DataWorks MCP Server?

DataWorks MCP Server is a Model Context Protocol (MCP) server that provides tools for AI, enabling interaction with the DataWorks Open API through a standardized interface. It allows AI agents to perform cloud resource operations seamlessly.

how to use DataWorks MCP Server?

To use the DataWorks MCP Server, install it via npm or build it from source. Configure the necessary environment variables and run the server to interact with DataWorks resources.

key features of DataWorks MCP Server?

  • Standardized interface for AI interaction with DataWorks Open API
  • Management of DataWorks resources
  • Supports Node.js and various package managers for installation

use cases of DataWorks MCP Server?

  1. Automating cloud resource management tasks
  2. Integrating AI capabilities into cloud applications
  3. Facilitating seamless communication between AI agents and cloud services

FAQ from DataWorks MCP Server?

  • What are the prerequisites for using the DataWorks MCP Server?

You need Node.js (v16 or higher) and access to the DataWorks Open API with valid credentials.

  • Is there a recommended installation method?

Yes, installing via npm is recommended for most users.

  • How can I contribute to the project?

Contributions are welcome! You can fork the repository and submit a Pull Request.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
0
Language
TypeScript
License
Apache-2.0 license

Recommend Servers

View All
Thiri Chord Intelligence
@BluesPrince

### Deterministic Music Theory for Claude, Cursor, and Autonomous AI Agents Large Language Models (LLMs) frequently hallucinate music theory, leading to incorrect notes, false Roman numerals, and broken voice leading. **THIRI** solves this by providing a deterministic, mathematical music-theory engine (pitch-class-set theory over ℤ/12) directly to your AI. It gives AI assistants precise, reproducible harmonic reasoning in milliseconds, allowing them to write correct musical scores, analyze progressions, and generate playable arrangements. #### 🎷 Key Features: * **Chord Analysis (`analyze_chord`):** Parse any symbol (e.g., `Cmaj7/E`, `G7#11`) to retrieve root, quality, intervals, Roman numerals, and diatonic or chromatic harmonic functions. * **Note Resolution (`resolve_chord`):** Resolve chord symbols to spelled notes (enharmonically correct), frequencies (Hz), MIDI numbers, and scale recommendations. * **Voicing Engine (`generate_voicing`):** Generate instrument-ready voicings (rootless, shell, triad, pad, drop-2, drop-3) and calculate voice-leading scores for transitions. * **Reharmonization (`reharmonize`):** Substitute progressions using classic jazz techniques, including Tritone Substitution, ii-V Insertion, Modal Interchange, Coltrane Changes, and Backdoor cadences. *Ideal for developers building AI music assistants, digital audio workstation (DAW) agents, educational theory tools, and automated composition workflows.*

3 hours ago