Splunk MCP Server provides a standardized interface that enables AI assistants to securely interact with Splunk Enterprise or Splunk Cloud using the Model Context Protocol (MCP). It allows AI tools to search, analyze, and validate Splunk queries while maintaining built-in safety guardrails.
The Splunk MCP Server offers two complete implementations - Python and TypeScript. Choose the one that best fits your environment.
Navigate to the Python directory:
cd python
Create an environment file:
cp .env.example .env
Edit the .env
file with your Splunk credentials
Install the required packages:
pip install -e .
Start the server:
python server.py
Navigate to the TypeScript directory:
cd typescript
Create an environment file:
cp .env.example .env
Edit the .env
file with your Splunk credentials
Install dependencies:
npm install
Start the server:
npm start
The MCP server provides several tools to interact with your Splunk environment:
The server includes intelligent guardrails to protect your Splunk environment:
When deploying the MCP server, follow these security recommendations:
.env
files and never commit them to version controlThe Splunk MCP Server works with any MCP-compatible client, including:
The server acts as an intermediary between AI assistants and your Splunk instance:
┌─────────────┐ MCP Protocol ┌─────────────┐ REST API ┌──────────┐
│ AI Assistant│ ◄─────────────────► │ MCP Server │ ◄─────────────► │ Splunk │
│ (Client) │ stdio/SSE/WS │ │ Port 8089 │ Instance │
└─────────────┘ └─────────────┘ └──────────┘
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "splunk-mcp-server" '{"command":"python","args":["server.py"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"splunk-mcp-server": {
"command": "python",
"args": [
"server.py"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"splunk-mcp-server": {
"command": "python",
"args": [
"server.py"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect