# Ambient Code Platform MCP Server

> Use this tool when you need to manage and delegate AI agent sessions in a Kubernetes environment, solving problems of scalable AI deployment and remote session management. It takes in authentication credentials and agent configurations as inputs, and outputs managed AI agent sessions and communication channels. Ideal for use cases requiring secure and efficient deployment of multiple AI agents, such as large-scale machine learning or natural language processing applications.

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

## Description

Enables delegation of agentic sessions to Kubernetes-hosted Claude agents running on the Ambient Code Platform. Supports creating, managing, and communicating with remote AI agent sessions through OpenShift authentication.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cw4kz8k69t)
- **Repository:** <https://github.com/jeremyeder/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": "jeremyeder-mcp"
    }
  }
}
```

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