What environment variables are required?
You must set `BETTER_AUTH_PROJECT_ID` and `BETTER_AUTH_API_KEY`. Optionally configure `BETTER_AUTH_ENV` and `LOG_LEVEL`.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"nahmanmate_better-auth-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@nahmanmate/better-auth-mcp-server",
"--client",
"claude"
]
}
}
}Analyze project structure for auth setup recommendations
Configure auth providers with project ID and API key
Detect existing auth.js/next-auth implementations
Create step-by-step migration path
better-auth-mcp-server is an MCP server for authentication management, providing enterprise-grade secure credential handling with AES-256 encryption, multi-protocol support (OAuth2, SAML, LDAP), and real-time threat detection. It is designed for developers using MCP-compatible clients like Claude Desktop who need to set up, migrate, or audit authentication in their projects.
Install via Smithery with npx @smithery/cli install @nahmanmate/better-auth-mcp-server, or manually add the server configuration to your Claude Desktop config file. Set required environment variables BETTER_AUTH_PROJECT_ID and BETTER_AUTH_API_KEY. Use tools such as setup_better_auth, test_auth_flows, and generate_migration_plan to manage authentication.
You must set `BETTER_AUTH_PROJECT_ID` and `BETTER_AUTH_API_KEY`. Optionally configure `BETTER_AUTH_ENV` and `LOG_LEVEL`.
Use the Smithery CLI: `npx @smithery/cli install @nahmanmate/better-auth-mcp-server --client claude`. Alternatively, manually add the server JSON to your Claude Desktop config file.
Run `npm run inspector` to launch the MCP Inspector, which provides a browser-based debugging interface for the server.
It supports OAuth2, SAML, and LDAP for multi-protocol authentication.
Core tools include `analyze_project`, `setup_better_auth`, `analyze_current_auth`, `generate_migration_plan`, `test_auth_flows`, `test_security`, `analyze_logs`, and `monitor_auth_flows`.

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci
Codebase health as MCP tools: dead code, circular dependencies, coupling, architectural drift.

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.
OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.
Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott
Comments