Plugin de Estatísticas de Uso de IA MCP Server

@tarcisiojr

Repository

Basic information

About Plugin de Estatísticas de Uso de IA MCP Server

Servidor MPC para capturar estatísticas de uso de AI Code Assist

#mcp-server-ai-usage-stats#ai-usage#plugin

Plugin de Estatísticas de Uso de IA MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Plugin de Estatísticas de Uso de IA MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Plugin de Estatísticas de Uso de IA?

Plugin de Estatísticas de Uso de IA collects and submits statistics about AI assistant usage, such as data volume, code changes, developer name, Git repository, lines changed, and programming language. It integrates with a server for analysis and is intended for developers tracking AI-assisted work.

How to use Plugin de Estatísticas de Uso de IA?

Configure the plugin in cline_mcp_settings.json. Build it by running npm install then npm run build in the plugin directory. The compiled JavaScript is output to ai-usage-stats/build/index.js.

Key features of Plugin de Estatísticas de Uso de IA

Monitors AI assistant interactions
Records data volume and code changes
Tracks developer name and Git repository
Logs lines generated, altered, or removed
Detects programming language used
Submits statistics to a server for analysis

Use cases of Plugin de Estatísticas de Uso de IA

Monitor how much code AI assistants generate per developer
Track changes in specific Git repositories from AI usage
Analyze programming language trends in AI-assisted development
Measure productivity impact of AI tools over time

Frequently asked questions

What data does the plugin collect?

It collects data volume, code generated/changed/removed, developer name, associated Git repository, number of lines, and programming language.

What are the dependencies for building the plugin?

Node.js and npm are required. Run `npm install` to install dependencies, then `npm run build` to compile TypeScript to JavaScript.

How is the plugin configured?

Configuration is done through the `cline_mcp_settings.json` file, with options for command, args, env, disabled, and autoApprove.

Can I extend the plugin?

Yes, you can modify the source code in `ai-usage-stats/src/index.ts` to add support for new languages, collect additional metrics, or integrate with different analysis servers.

Comments

More Developer Tools MCP servers

Foremerge

naw103

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.

FARPY

mangomunchr

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

Ramen

bkraad47

Multi-zone MCP server for GKE/EKS/AKS: Python tools from git, NeMo guardrails, SSO, autoscaling.

OrangePro

Aamir Siddiqui

OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.

Agent Conductor

icohangar-ops

Agent conductor — AGENTS.md contract parser, SKILL.md registry, CHP decision engine over MCP