Sumo Logic MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sumo Logic through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Sumo Logic, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Sumo Logic MCP Server
Empower your AI workflows with the powerful machine data analytics computing of Sumo Logic. Connect your conversational interface to your security, incident management, and monitoring environments, enabling your LLM to actively query diagnostic logs, monitor data ingestion pipelines securely, and track account consumption seamlessly. Automate log analysis organically from the terminal, avoiding complex dashboard integrations entirely.
The Vercel AI SDK gives every Sumo Logic tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Log Search & Diagnosis — Formulate deep queries into your data leveraging
create_search_job, track asynchronous execution withget_search_status, and securely fetch the resultant incident analytics runningget_search_results. - Data Ingestion Monitoring — Systematically browse telemetry sources assigning context mapping via
list_collectorsand inspect granular configurations evaluatingget_collector_details. - Account Administration — Enforce operational compliance rapidly evaluating access levels using
list_account_rolesand inspecting associated internal teams vialist_account_users. - Operations Analytics — Trace organizational usage data assessing
get_account_billingand confirm external alert hookings directly mapping systems vialist_active_webhooks.
The Sumo Logic MCP Server exposes 9 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Sumo Logic to Vercel AI SDK via MCP
Follow these steps to integrate the Sumo Logic MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from Sumo Logic and passes them to the LLM
Why Use Vercel AI SDK with the Sumo Logic MCP Server
Vercel AI SDK provides unique advantages when paired with Sumo Logic through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Sumo Logic integration everywhere
Built-in streaming UI primitives let you display Sumo Logic tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Sumo Logic + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sumo Logic MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sumo Logic in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sumo Logic tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sumo Logic capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sumo Logic through natural language queries
Sumo Logic MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Sumo Logic to Vercel AI SDK via MCP:
create_search_job
Provide a query string, start time, and end time. Returns a search job ID for tracking. Creates a new log search job
get_account_billing
Retrieves billing and usage metrics
get_collector_details
Retrieves details for a specific collector
get_search_results
Retrieves the results of a completed search job
get_search_status
Retrieves the status of an existing search job
list_account_roles
Lists all security roles in the account
list_account_users
Lists all registered users in the account
list_active_webhooks
Lists configured alert webhooks
list_collectors
Lists all data collectors configured in Sumo Logic
Example Prompts for Sumo Logic in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sumo Logic immediately.
"Fetch all account users along with active local integration webhooks sequentially properly."
"Create a new search job tracking 'auth_failure' errors over the last 24 hours."
"Retrieve the exact search results from the active job ID once the asynchronous monitoring reports completion."
Troubleshooting Sumo Logic MCP Server with Vercel AI SDK
Common issues when connecting Sumo Logic to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSumo Logic + Vercel AI SDK FAQ
Common questions about integrating Sumo Logic MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Sumo Logic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sumo Logic to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.