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AI: uratibu

Uratibu wa AI huunganisha hizo tatu: injini hugundua wakati katika hali ya mtumiaji, huchagua kundi, na huchagua hatua, hivyo kitanzi hufanya kazi bila wewe kuunganisha kila hatua kwa mkono.

At a glance

GraphQL
ai query: summarise, explain, suggest
MCP
Every prodantix.* tool, callable by an agent
MCP host
https://eu.mcp.prodantix.com
Auth
Access token
  • Hugundua wakati muhimu katika hali ya papo hapo
  • Huchagua kundi sahihi na hatua sahihi
  • Hufunga kitanzi: hatua huwa tukio linalofuata ambalo injini hujifunza kutoka kwalo

Jinsi inavyofanya kazi

Every answer is grounded in rows the caller could already read. Citations are resolved server-side from a built candidate list rather than taken from the model’s reply, so an answer can only point at something that exists and the caller is entitled to see.

Wapi kuifikia

SurfaceOperation
GraphQLai query: summarise, explain, suggest
MCPevery prodantix.* tool, callable by an agent

Mfano

GraphQL
query Explain($projectId: String!) {
  ai {
    explainMetric(
      projectId: $projectId
      metric: "order.completed"
      window: "P7D"
    ) {
      summary
      citations { kind id }
    }
  }
}

Pointing an agent at prodantix

The MCP surface exposes the same capabilities to an autonomous agent. See MCP for the tool list and protocol details.

JSON
{
  "mcpServers": {
    "prodantix": {
      "url": "https://eu.mcp.prodantix.com/mcp",
      "headers": { "Authorization": "Bearer <access token>" }
    }
  }
}