# llm-mcp

> llm-mcp — remidosol-llm-mcp. Use this tool when you need to manage and orchestrate large language model (LLM) jobs in a scalable and fault-tolerant manner. It solves problems related to job pipeline management, transactional consistency, and event-driven architecture, providing a credit-based system with Kafka and Kubernetes integration. Ideal for use cases requiring robust and distributed LLM job processing, it accepts job requests as input and outputs processed results, with git integration for version control.

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

## Description

Credit-based LLM job pipeline — an event-driven microservices project built to be run, broken and explained: choreography saga, transactional outbox, Kafka (KRaft), Kubernetes, MCP.

## 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:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/remidosol/llm-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": "remidosol-llm-mcp"
    }
  }
}
```

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