Sumo Logic MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sumo Logic through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Sumo Logic Assistant",
instructions=(
"You help users interact with Sumo Logic. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Sumo Logic"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 9 tools from Sumo Logic through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Sumo Logic, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Sumo Logic MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from Sumo Logic
Why Use OpenAI Agents SDK with the Sumo Logic MCP Server
OpenAI Agents SDK provides unique advantages when paired with Sumo Logic through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Sumo Logic + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Sumo Logic MCP Server delivers measurable value.
Automated workflows: build agents that query Sumo Logic, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Sumo Logic, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Sumo Logic tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Sumo Logic to resolve tickets, look up records, and update statuses without human intervention
Sumo Logic MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Sumo Logic to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Sumo Logic to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Sumo Logic + OpenAI Agents SDK FAQ
Common questions about integrating Sumo Logic MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.