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Evo MCP

Table of contents

• What is MCP?
• What is the Evo MCP server?
  • How teams use Evo MCP
  • Server architecture
• Getting started
  • Prerequisites
  • Installation
• Connect to Evo MCP
  • VS Code
  • Cursor
  • Additional tips
• Advanced
  • Testing with FastMCP CLI
  • Testing with a Google ADK agent
• Development
• Contributing
• Code of conduct
• License
• Disclaimer
• Acknowledgements

What is MCP?

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

— Model Context Protocol README

An MCP Server is a lightweight program that provides specific features through the Model Context Protocol standard. Applications like chatbots, code editors, and AI tools run MCP clients that each establish a direct connection with an MCP server. Popular MCP clients include agentic code assistants (such as VS Code and Cursor) and conversational tools like Claude Desktop, with more expected in the future. MCP servers can connect to both local and remote data, supplying enriched information that enables AI models to generate more accurate and useful results.

MCP servers are consumable by any MCP client such as VS Code, Claude Desktop, or a Google ADK agent.

What is the Evo MCP server?

The Evo MCP server is a self-hosted server that provides a secure, standardised interface between your AI tools and the Evo platform. It acts as a bridge, exposing Evo SDK functionality - like access to your workspaces, geoscience objects, and block models - to any AI model or agent you choose.