Build with Engrammic

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const transport = new StreamableHTTPClientTransport(
  new URL("https://beta.engrammic.ai/mcp/")
);

const client = new Client({
  name: "my-agent",
  version: "1.0.0"
});

await client.connect(transport);

// Store an observation
await client.callTool("remember", {
  content: "User prefers dark mode",
  context: "stated in settings discussion"
});

// Retrieve knowledge
const result = await client.callTool("recall", {
  query: "user preferences"
});

from mcp import Client
from mcp.client.streamable_http import StreamableHTTPClientTransport
import asyncio

async def main():
    transport = StreamableHTTPClientTransport("https://beta.engrammic.ai/mcp/")
    
    client = Client("my-agent", "1.0.0")
    await client.connect(transport)
    
    # Store an observation
    await client.call_tool("remember", {
        "content": "User prefers dark mode",
        "context": "stated in settings discussion"
    })
    
    # Retrieve knowledge
    result = await client.call_tool("recall", {
        "query": "user preferences"
    })

asyncio.run(main())