claude mcp add guantar-kafka-dataops-mcp -- uvx kafka-dataops-mcp
{
"mcpServers": {
"guantar-kafka-dataops-mcp": {
"command": "uvx",
"args": ["kafka-dataops-mcp"]
}
}
}
{
"mcpServers": {
"guantar-kafka-dataops-mcp": {
"command": "uvx",
"args": ["kafka-dataops-mcp"]
}
}
}
{
"mcpServers": {
"guantar-kafka-dataops-mcp": {
"command": "uvx",
"args": ["kafka-dataops-mcp"]
}
}
}
About This MCP Server
The kafka-dataops-mcp server is a developer tool that provides a Model Context Protocol server with features for diagnosing consumer lag and monitoring brokers, enabling developers to manage and troubleshoot their Kafka-based data operations. This server connects to Kafka clusters and provides insights into their performance, allowing developers to identify and resolve issues. Developers would use this tool when they need to monitor and optimize their Kafka data pipelines, particularly when experiencing issues with consumer lag or broker performance.
DataOps Kafka MCP server with consumer lag diagnosis and broker monitoring. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
kafka-dataops-mcp on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The kafka-dataops-mcp server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
