Enhance Your Coding Agents with Gemini API Docs MCP and Developer Skills

By Trey Nguyen | Product Manager, Google DeepMind

April 1, 2026

Improve Coding Agents’ Performance with Gemini API Docs MCP and Agent Skills

If you've been using coding agents to generate code for the Gemini API, you might have encountered a common issue: outdated code generation. This happens because the training data for these agents has a cutoff date, which can lead to them generating stale or incorrect API calls. To address this, we’ve developed two complementary tools: the Gemini API Docs MCP and the Gemini API Developer Skills.

Gemini API Docs MCP

The Gemini API Docs Model Context Protocol (MCP) is a new protocol that connects your coding agent to the most up-to-date Gemini API documentation, SDKs, and model information. Here’s how it works:

• Real-time Documentation Access: The MCP allows your coding agent to access the latest API docs and SDKs in real-time. This ensures that the code generated by your agent is always current.
• Model Information: It also provides detailed information about the models, including their capabilities and optimal configuration settings.
• Setup: You can set up the Gemini API Docs MCP by following the instructions at gemini-api-docs-mcp.dev.

Gemini API Developer Skills

The Gemini API Developer Skills is a collection of best-practice instructions, resource links, and coding patterns designed to guide your coding agent. Here’s what it includes:

• Best Practices: Instructions on how to follow best practices for using the Gemini API.
• Resource Links: Direct links to relevant documentation and resources.
• Coding Patterns: Examples of current SDK patterns to help the agent generate more accurate and efficient code.

Combined Benefits

While each tool independently improves your workflow, their true power lies in their combination. Here are some key benefits:

• 96.3% Pass Rate: Our evaluations show that using both MCP and Developer Skills together results in a 96.3% pass rate on our evaluation set.
• Efficiency: The combined tools also lead to a 63% reduction in tokens per correct answer compared to vanilla prompting, making your coding process more efficient.

Implementation Details

To get started with these tools, follow these steps:

1. Set Up MCP:

   • Visit gemini-api-docs-mcp.dev for setup instructions.
   • Ensure your coding agent is configured to use the MCP protocol.

2. Enable Developer Skills:

   • Navigate to the Gemini API Developer Skills page.
   • Follow the instructions to enable and configure the skills for your coding agent.

Conclusion

By leveraging the Gemini API Docs MCP and Developer Skills, you can significantly enhance the performance of your coding agents. These tools ensure that your code is always up-to-date and follows best practices, leading to more efficient and reliable development workflows.

For more details and setup instructions, visit ai.google.dev/gemini-api/docs/coding-agents.