How to Install Splunk MCP in OpenAI Agents SDK
Official Splunk integration — query observability data, alerts, and incident context through AI
What Splunk MCP does
The official Splunk MCP server gives AI agents access to observability and security data stored in Splunk. It can search logs, inspect alerts, and correlate incidents with operational data. Features: - Run Splunk queries and retrieve event results - Inspect logs, metrics, and traces across services - Access alert and incident timelines - Search dashboards and saved searches - Manage Splunk apps and data inputs - Correlate security and operational events Splunk MCP is ideal for SRE and SecOps teams that need AI to triage incidents and surface root causes from large datasets.
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@splunk/mcp"],
env={
"SPLUNK_HEC_URL": "https://instance.splunkcloud.com",
"SPLUNK_TOKEN": "...",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Splunk MCP, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/splunk-mcp)
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