What are the prerequisites for running SumoLogic MCP Server?
You need Docker and a SumoLogic account with API access, including an Access ID and Access Key.
@greyaperez
基本信息
MCP Server for SumoLogic API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-sumologic-greyaperez": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"\\"
]
}
}
}Check if the SumoLogic API connection is working
List all SumoLogic collectors
Get a specific SumoLogic collector by ID
Create a new hosted collector in SumoLogic
Update an existing collector in SumoLogic
Delete a SumoLogic collector by ID
List all sources in a specific SumoLogic collector
Get a specific source from a SumoLogic collector
Create a new HTTP source in a SumoLogic collector
Start a search job in SumoLogic
Check the status of a search job
Get the results of a search job
List all monitors in SumoLogic
Get a specific monitor by ID
It is a Model Context Protocol (MCP) server for the SumoLogic API, packaged as a Docker container. It allows AI agents to leverage MCP to interact with SumoLogic's API methods for managing collectors, sources, search jobs, and monitors.
Ensure Docker is installed and have a SumoLogic account with API credentials. Run the Docker container with the required environment variables (SUMOLOGIC_ACCESS_ID, SUMOLOGIC_ACCESS_KEY, SUMOLOGIC_API_ENDPOINT). Configuration examples are provided for VS Code and Claude Desktop clients.
You need Docker and a SumoLogic account with API access, including an Access ID and Access Key.
Set three environment variables: `SUMOLOGIC_ACCESS_ID`, `SUMOLOGIC_ACCESS_KEY`, and `SUMOLOGIC_API_ENDPOINT` (e.g., https://api.us2.sumologic.com/api).
It offers 14 tools covering collectors, sources, search jobs, and monitors, including list, get, create, update, delete, and connection check.
Configuration examples are provided for VS Code (`.vscode/mcp.json`) and Claude Desktop (`claude_desktop_config.json`), using the Docker run command with environment variables.
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