Productivity

kaibernetic.ai

Manages goals, todos, and work queues for productivity and task tracking.

1 endpoint16 known toolsFirst detected August 5, 2026Last detected August 5, 2026

ENDPOINT 1

https://kaibernetic.ai/llm/mcp

No auth detected

MCP server metadata

Name: kaibernetic
Version: 2.13.0.2

Capabilities

experimentalprompts.listChangedresources.listChangedtools.listChanged

Known tools 16

list_goals

List current Kaibernetic goals.

Inferred read-only

get_context

Get detailed context for a goal or todo, including all child todos and related information.

Inferred read-only

get_initiatives

List initiatives (optionally only the current focus roster).

Inferred read-only

get_queue

Get your prioritized work queue — what to work on next.

Inferred read-only

check_in

Get a dashboard of your current work state across all active work.

Inferred read-only

add_goal

Add a new work item to your goal system.

Inferred read-only

setup

Return the Kaibernetic setup instructions (prompt-shaped section) verbatim.

Inferred read-only

draft_plan

Return plan drafting guidance — load on demand after elicitation completes.

Inferred read-only

update_goal

Update an existing goal or todo comprehensively.

Potential side effects

set_focus_limit

Update the maximum number of simultaneous focus initiatives.

Potential side effects

save_progress

Save current work progress to a goal with structured context format.

Inferred read-only

list_session_activity

List activity for an agent session - tasks touched, status changes, and progress updates.

Inferred read-only

request_support

File a support request that's routed to the Kaibernetic maintainer.

Inferred read-only

web_search

Search the web for current information using Exa neural search.

Inferred read-only

debug

Capture recent MCP tool calls for debugging analysis.

Inferred read-only

query_database

Execute a SQL query against the goals database.

Potential side effects

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.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for kaibernetic.ai was fetched 2026-08-24T06:27:06.439Z.

Trust status Neutral

kaibernetic.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.