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Gemini MCP Setup: CLI Config, Credentials, and Real Workflows

Step-by-step guide to connecting Gemini CLI to MCP servers — settings.json structure, auth fixes, Docker vs stdio, and how to verify tool calls actually work.

1 min read
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{"mcpServers":{"my-docker-server":{"env":{"API_KEY":"your-token-here"},"image":"your-mcp-image-name","type":"docker"}}}

References

  1. Google Developers Blog - Plan mode is now available in Gemini CLI - 10/03/2026
  2. Google Blog - Deep Research Max: a step change for autonomous research agents - 20/04/2026
  3. Google AI for Developers - Deep Research preview | Gemini API | Google AI for Developers - 27/04/2026
  4. arXiv - MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency ... - 24/05/2026
  5. Google AI for Developers - Set up your coding assistant with Gemini MCP and Skills | Gemini API - 27/04/2026
  6. Stack Overflow - Gemini CLI integration with MCP tool for interactive flow - 18/08/2025
  7. Stack Overflow - How to make the LLM call MCP functions hosted on Google Cloud Run with Python - 02/07/2025
  8. Google Help - Gemini CLI and Figma: Set up the MCP server - 24/05/2026
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Written by

Vasiliy Datsenko

Head of Customer Support

Vasiliy Datsenko is Head of Customer Support at Latenode and a product-focused automation writer. His work connects customer conversations, workflow automation research, AI use cases, and practical product education for teams trying to automate real business processes.

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Oleg Zankov

Founder and CEO

Founder and automation product builder behind Latenode. Expert in iPaaS, AI agents, and workflow automation architecture.

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