".ENV" matching MCP servers:

Exposes RNV color workflow tools for color mixing, conversion, harmony generation, text transformation, and palette management, allowing LLMs to directly compute colors and manipulate palettes.

Enables AI agents to securely manage OneGuard secrets through natural language, including syncing .env files, rotating database passwords, generating and managing vaults and secrets, and auditing team access, without exposing secret values to the model.

Enables AI agents to manage environments and access resources on the Env0 platform through natural language, including deploying, canceling, and viewing logs of environments, as well as querying Cloud Compass.

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

Context-aware secret scanner that lets an AI agent scan code, verify which leaked keys are actually live by calling the provider, and rewrite them to env-var lookups before committing. Exposes scan/verify/rewrite tools plus secret-type and verifier resources over MCP.

Enables searching ENA's public sequencing data by organism, study, platform, country or date, retrieving FASTQ/BAM download URLs and checksums, and discovering available result types and fields.

Enables LLMs to analyze images, videos, audio, and text files for AI-generated content using the Reality Defender API, with support for user file uploads and direct URL analysis.

Sign in, create API keys, print OpenAI-compatible env vars, and check credits from the terminal. Optional MCP mode for AI coding agents with tools for credits, models, and environment.

Enables AI-powered operations on WordPress sites, integrating multiple LLM providers and providing MCP server capabilities for chat, tools, and automation.