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
相关服务器
mcpdoc
Access website documentation for AI search engines (llms.txt files) over MCP.
Local RAG
Performs a local RAG search on your query using live web search for context extraction.
HeadHunter
An MCP server for the HeadHunter API, focusing on job seeker functionalities.
Google Maps
An MCP server for interacting with the Google Maps API, designed for Google Cloud Run.
ReActMCP Web Search
A web search server that integrates with the Exa API to perform basic and advanced searches.
google-maps-mcp-server
STDIO-based MCP server for Google Maps Platform APIs
O'Reilly Learning Platform
Search and manage content on the O'Reilly Learning Platform.
WHOIS MCP Server
A WHOIS server for checking domain availability using the Chinaz API.
GW_MCP
An MCP (Model Context Protocol) server providing tools to query Gravitational Wave (GW) data from GraceDB and GWOSC.
Lancelot-MCP
A containerized MCP server for LanceDB vector search, featuring hybrid processing with Gemini and Ollama.