seracade

Route your AI agent's LLM calls to the cheapest model that meets your quality bar — automatically. Seracade audits your real traffic, proves savings with empirical scoring, then routes every call to the Pareto-optimal model for its task type.

Free audit. 15% of per-call savings after $500/month threshold. Your API keys, never stored.

Setup

Recommended: Set your API key as an environment variable so it is never passed inline through tool calls.

export SERACADE_API_KEY=your-provider-api-key

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "seracade": {
      "command": "npx",
      "args": ["-y", "seracade"],
      "env": {
        "SERACADE_API_KEY": "your-provider-api-key"
      }
    }
  }
}

Claude Code

claude mcp add seracade -- npx -y seracade

CrewAI

from crewai import Agent
from crewai_tools import MCPServerAdapter
import os

mcp_adapter = MCPServerAdapter(
    {"command": "npx", "args": ["-y", "seracade"]},
    env={"SERACADE_API_KEY": os.environ["SERACADE_API_KEY"]}
)

agent = Agent(
    role="LLM Cost Optimizer",
    tools=mcp_adapter.tools
)

LangGraph

from langchain_mcp_adapters.client import MultiServerMCPClient
import os

client = MultiServerMCPClient({
    "seracade": {
        "command": "npx",
        "args": ["-y", "seracade"],
        "env": {"SERACADE_API_KEY": os.environ["SERACADE_API_KEY"]},
        "transport": "stdio",
    }
})

tools = await client.get_tools()

Vercel AI SDK

import { experimental_createMCPClient } from "ai";
import { Experimental_StdioMCPTransport } from "ai/mcp-stdio";

const mcp = await experimental_createMCPClient({
  transport: new Experimental_StdioMCPTransport({
    command: "npx",
    args: ["-y", "seracade"],
    env: { SERACADE_API_KEY: process.env.SERACADE_API_KEY! },
  }),
});

const tools = await mcp.tools();

How it works

Step 1 — Audit. Call seracade with action=start_audit. Set OPENAI_BASE_URL=https://seracade.com/v1. Your API calls flow through unchanged — zero latency impact, your keys, your data. At 50 calls, the audit triggers automatically.

Step 2 — Review. Call seracade with action=get_status to check progress. When the report is ready, the tool returns a URL. Share it with a human decision maker before activating routing.

Step 3 — Activate. Call seracade with action=activate_routing. Every subsequent call routes to the optimal model on the efficient frontier for its task type.

Step 4 — Route. Use seracade_route in place of your direct LLM calls. Seracade selects the cheapest model that meets your quality bar and returns the full completion with per-call savings.

Step 5 — Track. Call seracade with action=check_savings to see your monthly savings. Free until the savings Seracade generates for you exceed $500/month — then 15% of the per-call price difference. You keep 85%.

Tools

seracade_route

Route an LLM completion to the cheapest model that meets your quality bar. Requires routing to be active — call seracade with action=activate_routing first.

Returns: full completion, routed model, task type, and estimated savings per call.

seracade

Manage your Seracade account. Action-dispatched.

Remote HTTP (no local install)

Connect directly without npx — for hosts that support streamable HTTP transport:

{
  "mcpServers": {
    "seracade": { "url": "https://seracade.com/mcp" }
  }
}

Discovery endpoint: https://seracade.com/.well-known/mcp.json

Pricing

• Free audit, always
• Smart routing: 15% of the price difference per routed call
• Free until the savings Seracade generates for you exceed $500/month
• You keep 85% of every dollar saved

Security

• BYOK: your API keys, your data — Seracade never bills for LLM usage
• Keys hashed for identification, never stored in plaintext
• All traffic over TLS
• 30-day response body retention, 90-day metadata retention
• Terms of Service | Privacy Policy | Security

Links

• seracade.com
• Efficient Frontier