# osdu-mcp

> Use this tool when you need to integrate AI agents with the OSDU data platform, enabling seamless interaction for search, storage, and dataset operations. It solves problems related to data management and accessibility, providing a standardized interface for AI agents to leverage OSDU's capabilities. With inputs such as search queries and dataset requests, and outputs including relevant data and schema information, osdu-mcp facilitates efficient data exchange and processing.

Canonical page: https://skillsregistry.net/skills/rasheedonnet-osdu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rasheedonnet-osdu-mcp

## Description

Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mta060649o)
- **Repository:** <https://github.com/rasheedonnet/osdu-mcp>

## 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": "rasheedonnet-osdu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rasheedonnet-osdu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rasheedonnet-osdu-mcp/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