Splunk
An MCP server for Splunk to search, analyze, and visualize machine-generated data from your Splunk instance.
MCP Server for Splunk
A Go implementation of the MCP server for Splunk. Supports STDIO and SSE (Server-Sent Events HTTP API). Uses github.com/mark3labs/mcp-go SDK.
Quickstart - Cursor integration
By configuring MCP Settings in Cursor, you can include remote data directly into the LLM context.

STDIO mode
cd /tmp # CHANGE ME
git clone https://github.com/jkosik/mcp-server-splunk.git
cd mcp-server-splunk/cmd/mcp-server-splunk/
Update Cursor settings in ~/.cursor/mcp.json:
{
"mcpServers": {
"splunk_stdio": {
"name": "Splunk MCP Server",
"description": "Splunk MCP server",
"type": "stdio",
"command": "/tmp/mcp-server-splunk/cmd/mcp-server-splunk/mcp-server-splunk", # CHANGE ME
"env": {
"SPLUNK_URL": "https://changeme.splunkcloud.com:8089", # CHANGE ME
"SPLUNK_TOKEN": "abcdef" # CHANGE ME
}
}
}
}
Alternatively re-build the server first:
go build -o cmd/mcp-server-splunk/mcp-server-splunk cmd/mcp-server-splunk/main.go
SSE mode
Start the server:
export SPLUNK_URL=https://your-splunk-instance:8089
export SPLUNK_TOKEN=your-splunk-token
# Start the server
go run cmd/mcp-server-splunk/main.go -transport sse -port 3001
Update Cursor settings in ~/.cursor/mcp.json:
{
"mcpServers": {
"splunk_sse": {
"name": "Splunk MCP Server (SSE)",
"description": "MCP server for Splunk integration (SSE mode)",
"type": "sse",
"url": "http://localhost:3001/sse"
}
}
}
MCP Tools and Prompts
-
list_splunk_saved_searches- Parameters:
count(number, optional): Number of results to return (max 100, default 100)offset(number, optional): Offset for pagination (default 0)
- Parameters:
-
list_splunk_alerts- Parameters:
count(number, optional): Number of results to return (max 100, default 10)offset(number, optional): Offset for pagination (default 0)title(string, optional): Case-insensitive substring to filter alert titles
- Parameters:
-
list_splunk_fired_alerts- Parameters:
count(number, optional): Number of results to return (max 100, default 10)offset(number, optional): Offset for pagination (default 0)ss_name(string, optional): Search name pattern to filter alerts (default "*")earliest(string, optional): Time range to look back (default "-24h")
- Parameters:
-
list_splunk_indexes- Parameters:
count(number, optional): Number of results to return (max 100, default 10)offset(number, optional): Offset for pagination (default 0)
- Parameters:
-
list_splunk_macros- Parameters:
count(number, optional): Number of results to return (max 100, default 10)offset(number, optional): Offset for pagination (default 0)
- Parameters:
-
internal/splunk/prompt.goimplements an MCP Prompt to find Splunk alerts for a specific keyword (e.g. GitHub or OKTA) and instructs Cursor to utilise multiple MCP tools to review all Splunk alerts, indexes and macros first to provide the best answer. -
cmd/mcp/server/main.goimplements MCP Resource in the form of local CSV file with Splunk related content, providing further context to the chat.
Local usage and testing
STDIO mode (default)
export SPLUNK_URL=https://your-splunk-instance:8089
export SPLUNK_TOKEN=your-splunk-token
# List available tools
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | go run cmd/mcp-server-splunk/main.go | jq
# Call list_splunk_saved_searches tool
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_splunk_saved_searches","arguments":{}}}' | go run cmd/mcp-server-splunk/main.go | jq
SSE mode (Server-Sent Events HTTP API)
export SPLUNK_URL=https://your-splunk-instance:8089
export SPLUNK_TOKEN=your-splunk-token
# Start the server
go run cmd/mcp-server-splunk/main.go -transport sse -port 3001
# Call the server and get Session ID from the output. Do not terminate the session.
curl http://localhost:3001/sse
# Keep session running and and use different terminal window for the final MCP call
curl -X POST "http://localhost:3001/message?sessionId=YOUR_SESSION_ID" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | jq
Installing via Smithery
Dockerfile and smithery.yaml are used to support hosting this MCP server at [Smithery](https://smithery.ai/server/@jkosik/.
Certified by MCP Review: https://mcpreview.com/mcp-servers/jkosik/mcp-server-splunk
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