← kaibernetic.ai
INDIVIDUAL MCP TOOL
set_focus_limit
Update the maximum number of simultaneous focus initiatives.
LIVE ENDPOINT
https://kaibernetic.ai/llm/mcp
Connect to this endpoint to inspect the live schema for set_focus_limit and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Potential side effects detected · medium confidence · heuristic, not a guarantee.
- A tool name or description contains a write-action term.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.kaibernetic]
url = "https://kaibernetic.ai/llm/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"kaibernetic": {
"type": "http",
"url": "https://kaibernetic.ai/llm/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: kaibernetic
Remote MCP URL: https://kaibernetic.ai/llm/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"kaibernetic": {
"url": "https://kaibernetic.ai/llm/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"kaibernetic": {
"type": "http",
"url": "https://kaibernetic.ai/llm/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "kaibernetic",
"transport": "streamable-http",
"url": "https://kaibernetic.ai/llm/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
list_goals— List current Kaibernetic goals.get_context— Get detailed context for a goal or todo, including all child todos and related information.get_initiatives— List initiatives (optionally only the current focus roster).get_queue— Get your prioritized work queue — what to work on next.check_in— Get a dashboard of your current work state across all active work.add_goal— Add a new work item to your goal system.setup— Return the Kaibernetic setup instructions (prompt-shaped section) verbatim.draft_plan— Return plan drafting guidance — load on demand after elicitation completes.