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sekera-radim/briefgate-mcp

by Various

Client intake for AI coding agents — MCP server: your agent asks the client for logos, copy and credentials, and BriefGate chases them until they arrive.

MCP

sekera-radim/briefgate-mcp

Added 16 Sept 2026

#ai-agents #ai-coding #claude-code #client-intake #client-onboarding #cursor #freelance #gemini-cli-extension

Overview

BriefGate is an MCP server that handles client intake for AI coding agents. The agent requests assets like logos, copy, and credentials, and BriefGate automatically follows up with the client until the items are provided.

Best for

Best for
Solo developers and small teams using AI agents for client projects

Use cases

  • Automate follow-up on missing client assets during development
  • Collect credentials and copy from clients without manual chasing
  • Integrate client intake requests into AI agent workflows via MCP

How to use

Install

npx -y @briefgate/mcp login

Tools exposed

  • BRIEFGATE_API_KEY
  • BRIEFGATE_BASE_URL
  • BRIEFGATE_CREDENTIALS_FILE
  • BRIEFGATE_NO_BROWSER
  • BRIEFGATE_MCP_HTTP
  • BRIEFGATE_MCP_PORT
  • BRIEFGATE_MCP_PUBLIC_HOST
  • BRIEFGATE_MCP_AUTH_SERVER

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT

Notes

BriefGate is an MCP server that handles client intake for AI coding agents. The agent requests assets like logos, copy, and credentials, and BriefGate automatically follows up with the client until the items are provided.

0 stars on GitHub. Last updated 2026-09-16. Licensed MIT.

Use cases

  • Automate follow-up on missing client assets during development
  • Collect credentials and copy from clients without manual chasing
  • Integrate client intake requests into AI agent workflows via MCP

Pros

  • Reduces manual follow-up by automating client reminders
  • Works with any MCP-compatible AI coding agent
  • TypeScript implementation fits standard Node environments

Cons

  • Zero stars indicates no proven community adoption yet
  • Effectiveness depends on client responsiveness to reminders
  • Early-stage project may have limited documentation and support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Reduces manual follow-up by automating client reminders
  • Works with any MCP-compatible AI coding agent
  • TypeScript implementation fits standard Node environments

Cons

  • Zero stars indicates no proven community adoption yet
  • Effectiveness depends on client responsiveness to reminders
  • Early-stage project may have limited documentation and support
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