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Mcpclover

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CloverDX MCP server enabling AI generated data transformations

dpavlisby dpavlis
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About

CloverDX MCP server enabling AI generated data transformations

README

mcpclover is a Python Model Context Protocol (MCP) server for CloverDX. It lets AI clients (like Claude Desktop) interact with CloverDX Server to browse sandboxes, read and edit graph files, validate graphs, run jobs, and inspect execution/debug output.

What it includes

  • MCP server implementation for CloverDX graph workflows
  • SOAP/REST client integration for CloverDX Server operations
  • Graph validation utilities
  • Local reference resources for CloverDX graph XML, CTL2, and component metadata

Typical use case

Connect this MCP server to an MCP-compatible client so the model can safely assist with CloverDX development tasks such as graph creation, edits, validation, and execution troubleshooting.

Quick links

  • Setup guide: MCP_CLIENT_SETUP.md
  • Tool reference: MCP_TOOLS_README.md
  • Example Claude MCP config: mcp_config.example.json

License

This project is licensed under the MIT License.

from github.com/dpavlis/mcpclover

Installing Mcpclover

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/dpavlis/mcpclover

FAQ

Is Mcpclover MCP free?

Yes, Mcpclover MCP is free — one-click install via Unyly at no cost.

Does Mcpclover need an API key?

No, Mcpclover runs without API keys or environment variables.

Is Mcpclover hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Mcpclover in Claude Desktop, Claude Code or Cursor?

Open Mcpclover on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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