# Epicor Kinetic MCP Server by CData

> Use this tool when you need to integrate Epicor Kinetic with external applications, solving data accessibility and interoperability problems. It provides a read-only interface to Epicor Kinetic data, allowing for seamless data retrieval and exchange. Ideal for use cases requiring data synchronization, reporting, or analytics, this tool accepts Epicor Kinetic data as input and outputs it in a standardized format for further processing.

Canonical page: https://skillsregistry.net/skills/cdatasoftware-epicor-kinetic-mcp-server-by-cdata  
JSON: https://api.skillsregistry.net/v1/skills/cdatasoftware-epicor-kinetic-mcp-server-by-cdata

## Description

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Epicor Kinetic (beta): https://www.cdata.com/download/download.aspx?sku=UEZK-V&type=beta

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hisbxed5b5)
- **Repository:** <https://github.com/CDataSoftware/epicor-kinetic-mcp-server-by-cdata>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cdatasoftware-epicor-kinetic-mcp-server-by-cdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-epicor-kinetic-mcp-server-by-cdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-epicor-kinetic-mcp-server-by-cdata/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt