# Hermes Kernel MCP Server

> Hermes Kernel MCP Server — nikershovru-star-hermes-kernel-v2. Use this tool when you need to enable AI agents to interact with kernel tools and capabilities through a standardized protocol. The Hermes Kernel MCP Server solves problems of discovery and invocation, supporting various transport methods for bidirectional communication. It accepts inputs via stdio, SSE, and Streamable HTTP and outputs invoked tool results, ideal for use cases requiring seamless AI-agent integration with kernel functionalities.

Canonical page: https://skillsregistry.net/skills/nikershovru-star-hermes-kernel-v2  
JSON: https://api.skillsregistry.net/v1/skills/nikershovru-star-hermes-kernel-v2

## Description

Enables AI agents to discover and invoke kernel tools and capabilities via the Model Context Protocol (MCP), supporting stdio, SSE, and Streamable HTTP transports for bidirectional communication.

## Trust

- **Trust score (0–1):** 0.11
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f1h3y2cscw)
- **Repository:** <https://github.com/nikershovru-star/hermes-kernel-v2>

## 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": "nikershovru-star-hermes-kernel-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nikershovru-star-hermes-kernel-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nikershovru-star-hermes-kernel-v2/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
