How to Use the Logflare (Log Management Analytics) MCP in Vercel AI SDK

Stream logs and run SQL directly in your Vercel AI SDK frontends for live data visualization.

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Connect Logflare (Log Management Analytics) MCP to Vercel AI SDK

Create your Vinkius account to connect Logflare (Log Management Analytics) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Logflare (Log Management Analytics) with Vercel AI SDK

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Real-time log ingestion for Vercel AI SDK

Push application events directly to your sources using `ingest_logs_by_id` or `ingest_logs_by_name`. This keeps your telemetry pipeline moving without extra middleware. Your UI updates instantly when these events land. Since this MCP Server works with the Vercel AI SDK, you can stream log ingestion results directly into your React or Next.js components.

Ad-hoc SQL analytics in Vercel AI SDK

Run custom SQL against your raw logs using `management_query`. You get direct access to your data without leaving your development environment. Just ensure you include a timestamp filter in your SQL. The Vercel AI SDK handles the output, letting you render query results in your dashboard as soon as the agent finishes execution.

Trigger endpoints from Vercel AI SDK agents

Execute pre-configured Logflare endpoints using `query_endpoint_by_id` or `query_endpoint_by_name`. Pass your parameters as a JSON object to get specific data slices. This method is cleaner than writing raw SQL for repetitive tasks. It keeps your code predictable and allows your AI client to fetch pre-formatted analytics on demand.

Setup guide

Set up Logflare (Log Management Analytics) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Logflare (Log Management Analytics) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Logflare (Log Management Analytics) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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Common questions about Logflare (Log Management Analytics) MCP in Vercel AI SDK

Install the MCP client via npm and point it to your Vercel AI SDK project. Use the provided transport configuration to connect, then pass the tools into your generation functions.

Yes. The tools respond with structured data that the SDK handles natively. You can stream the results directly to your frontend components for live updates.

It does. The server is compatible with edge runtimes. Just keep your connection logic efficient to respect execution time limits.

Your ingestion volume depends on your specific Logflare plan. Check your dashboard to ensure you stay within your monthly event quotas.

Logflare uses encrypted transport for all API calls. Only your authenticated endpoint token grants access to your specific log sources and query endpoints.

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