Perfrunner MCP Server

Name: Perfrunner MCP Server
Author: sudosalim

@sudosalim

代码仓库

关于 Perfrunner MCP Server

An MCP server for interacting with perfrunner configurations

#mcp #perfrunner #mcp-server

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

sudosalim

配置

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代码仓库

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概览

What is Perfrunner MCP Server?

Perfrunner MCP Server is a Model Context Protocol (MCP) server that provides information on perfrunner static configurations, specifically test and cluster configurations. It integrates with Couchbase Server for storing test configurations and results, backed by Full Text Search (FTS). The project is described as a prototype and toy playground for an MCP server to communicate with a performance team's infrastructure.

How to use Perfrunner MCP Server?

Copy the .env.example file to .env and edit it with your specific configuration. Run make to start the server. To load test and cluster spec files into Couchbase, use uv run scripts/configs_to_server.py test <test-directory> for test files and uv run scripts/configs_to_server.py cluster <cluster-spec-directory> for cluster spec files.

Key features of Perfrunner MCP Server

Integrates with Couchbase Server for configuration storage.
Backed by Full Text Search (FTS) for searching configurations.
Provides basic MCP (Model Context Protocol) functionality.
Supports loading test and cluster spec files into Couchbase.
Designed for performance team infrastructure integration.

Use cases of Perfrunner MCP Server

Retrieving test configuration details for performance testing.
Accessing cluster specifications from a central Couchbase store.
Loading and managing perfrunner static configurations via MCP.
Exploring MCP integration with a performance testing toolchain.

FAQ from Perfrunner MCP Server

What data does Perfrunner MCP Server provide?

It provides information on perfrunner static configurations: test configurations and cluster configurations, stored in Couchbase and searchable via Full Text Search.

How do I load test and cluster configurations?

Use the scripts/configs_to_server.py script: uv run scripts/configs_to_server.py test <test-directory> for test files and uv run scripts/configs_to_server.py cluster <cluster-spec-directory> for cluster spec files.