API Integration
Integrate this MCP server into your applications.
Get your API Key
You'll need to login and generate a Smithery API key to connect to this server.
Installation
Install the official MCP SDKs using npm:
bash
npm install @modelcontextprotocol/sdk @smithery/sdkTypeScript SDK
typescript
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { createSmitheryUrl } from "@smithery/sdk"
const config = {
"sseCors": true,
"sseHost": "localhost",
"ssePort": 3000,
"logLevel": "info",
"databaseUrl": "file:/memory-tool.db",
"logTimestamps": true,
"transportType": "stdio",
"embeddingModel": "Xenova/bge-small-en-v1.5",
"modelCachePath": "./models",
"databaseAuthToken": "string",
"embeddingDimension": 384
}
const serverUrl = createSmitheryUrl("https://server.smithery.ai/@joleyline/mcp-memory-libsql", { config, apiKey: "your-smithery-api-key"})
const transport = new StreamableHTTPClientTransport(serverUrl)
// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
const client = new Client({
name: "Test client",
version: "1.0.0"
})
await client.connect(transport)
// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)
Configuration Schema
Full JSON Schema for server configuration:
json
{
"type": "object",
"required": [],
"properties": {
"sseCors": {
"type": "boolean",
"default": true,
"description": "Enable CORS for SSE transport"
},
"sseHost": {
"type": "string",
"default": "localhost",
"description": "SSE transport host"
},
"ssePort": {
"type": "number",
"default": 3000,
"description": "SSE transport port"
},
"logLevel": {
"type": "string",
"default": "info",
"description": "Logging level"
},
"databaseUrl": {
"type": "string",
"default": "file:/memory-tool.db",
"description": "LibSQL database URL (local file or remote)"
},
"logTimestamps": {
"type": "boolean",
"default": true,
"description": "Include timestamps in logs"
},
"transportType": {
"type": "string",
"default": "stdio",
"description": "Transport type (stdio or sse)"
},
"embeddingModel": {
"type": "string",
"default": "Xenova/bge-small-en-v1.5",
"description": "Embedding model ID"
},
"modelCachePath": {
"type": "string",
"default": "./models",
"description": "Local path for embedding cache"
},
"databaseAuthToken": {
"type": "string",
"description": "Auth token for remote LibSQL databases"
},
"embeddingDimension": {
"type": "number",
"default": 384,
"description": "Embedding vector dimension"
}
}
}