# HAI-MCP

> HAI-MCP — smlfg-hai-mcp. Use this tool when you need to manage and control AI agent interactions across multiple clients, providing a unified interface to oversee agent state, focus, and next steps without directly invoking a large language model (LLM). It solves problems of agent coordination and workflow management, enabling seamless integration with various MCP-compatible clients. Ideal for use cases requiring centralized agent control and synchronization.

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

## Description

Provides a human-agent interface control plane for managing agent state, focus, and next steps across any MCP-compatible client, without calling an LLM itself.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/l5usrrgjul)
- **Repository:** <https://github.com/smlfg/hai-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": "smlfg-hai-mcp"
    }
  }
}
```

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