INDIVIDUAL MCP TOOL

read_ai_agent

Read full details of one AI agent by slug: problem, solution, example, benefits and FAQs as structured XML.

ai-outsourcing.chnone authenticationAvailability not checked

LIVE ENDPOINT

https://ai-outsourcing.ch/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for read_ai_agent and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ki-outsourcing]
url = "https://ai-outsourcing.ch/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ki-outsourcing": {
      "type": "http",
      "url": "https://ai-outsourcing.ch/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ki-outsourcing
Remote MCP URL: https://ai-outsourcing.ch/api/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": {
    "ki-outsourcing": {
      "url": "https://ai-outsourcing.ch/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ki-outsourcing": {
      "type": "http",
      "url": "https://ai-outsourcing.ch/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ki-outsourcing",
  "transport": "streamable-http",
  "url": "https://ai-outsourcing.ch/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

list_ai_agents — List all bespoke AI agents offered by KI-Outsourcing.ch (name, tagline, slug, URL).
list_insights — List published AI insights / advisory articles from KI-Outsourcing.ch (title, summary, slug, URL).
read_insight — Read one insight article by slug: summary, full content, FAQs and sources as structured XML.