# h2ogpte-mcp-server

> h2ogpte-mcp-server — h2oai-h2ogpte-mcp-server. Use this tool when you need to interact with AI models through a REST API, enabling document ingestion and collection management. It solves problems related to integrating AI capabilities into applications, such as building chat interfaces and managing AI model interactions. The tool accepts API requests as input and returns responses from the AI models, making it suitable for use cases that require programmatic interaction with AI resources.

Canonical page: https://skillsregistry.net/skills/h2oai-h2ogpte-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/h2oai-h2ogpte-mcp-server

## Description

Enables interaction with H2OGPTe's REST API, allowing document ingestion, collection management, and chat with AI models through MCP tools and resources.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l3o8l9b58j)
- **Repository:** <https://github.com/h2oai/h2ogpte-mcp-server>

## 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": "h2oai-h2ogpte-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/h2oai-h2ogpte-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/h2oai-h2ogpte-mcp-server/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
