# OData MCP Server by CData

> OData MCP Server by CData — cdatasoftware-odata-mcp-server-by-cdata. Use this tool when you need to create a REST-based OData API server to integrate and expose data from various sources, solving data access and integration problems for web, mobile, and cloud applications. It takes in data from multiple sources and outputs standardized OData feeds, providing a unified interface for data access and manipulation. Ideal for use cases requiring real-time data access, data virtualization, and API-based data integration across disparate systems.

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

## Description

This read-only MCP Server allows you to connect to OData data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

## Trust

- **Trust score (0–1):** 0.95
- **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/dasdb1wrko)
- **Repository:** <https://github.com/CDataSoftware/odata-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-odata-mcp-server-by-cdata"
    }
  }
}
```

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

---
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
