HAI-MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@HAI-MCPwhat's my current focus and next step?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
HAI-MCP
Model-agnostic Human-Agent Interface control plane as an MCP server.
Any client (Claude Code, Codex, Cursor, Grok, OpenCode, Hermes, …) can use the same tools. The server never calls an LLM.
Install / run
cd HAI-MCP
uv sync --all-extras
uv run hai-mcpstdio MCP. Point your client at:
{
"command": "uv",
"args": ["run", "--directory", "/absolute/path/to/HAI-MCP", "hai-mcp"],
"env": {
"HAI_HOME": "/home/you/.hai"
}
}Related MCP server: Keshro MCP
Tools (v1)
Tool | Role |
| Server + HAI_HOME health |
| Active lanes + focus |
| Canonical NEXT_STEP |
| Run-contract artifact summary |
| Park a thought (no lane steal) |
| Set/switch focus (max 2 ACTIVE) |
| Write proposed next step |
| Promote proposed → canonical (owner gate) |
| Snapshot context |
| Smallest recovery next action |
See docs/TOOL_CONTRACT.md.
State
Global:
$HAI_HOME(default~/.hai)Per project:
<project>/Projek-Managment/
Legacy
~/.config/hai-agent-mcp is Hermes-coupled prior art. This repo replaces that role for control-plane work; coexistence is fine until you switch clients deliberately.
Tests
uv run pytestThis server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
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MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/smlfg/hai-mcp'
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