Evo FAQs

Question 1

Can I add my own custom tools to the Evo MCP server?

Accepted Answer

Yes, while Evo MCP comes pre-packaged with tools developed by Seequent, it is fully extensible. Users are encouraged to add their own custom tools to further tailor and expand its functionality.

Question 2

What is the Evo MCP server?

Accepted Answer

The Evo MCP server is a self-hosted application that provides a secure, standardized interface for integrating AI tools with the Seequent Evo platform. It exposes Evo SDK functionality, allowing AI models to access and manage geoscience data and workspaces efficiently.

Question 3

What platforms are compatible with Evo MCP?

Accepted Answer

Evo MCP servers are consumable by any MCP client. Popular compatible applications include agentic code assistants like VS Code and Cursor, as well as conversational AI tools such as Claude Desktop and Google ADK agents.

Question 4

What are the primary use cases for Evo MCP?

Accepted Answer

Evo MCP enables AI tools to automate workspace management (create, summarize, duplicate workspaces, copy objects) and create structured geoscience objects (Pointsets, Line Segments) directly from raw CSV files within the Evo platform.

Question 5

What is the Model Context Protocol (MCP) and why is it used?

Accepted Answer

The Model Context Protocol (MCP) is an open standard that facilitates seamless integration between Large Language Model (LLM) applications and external data sources or tools. Evo MCP uses it to provide AI models with enriched context from the Evo platform, enabling more accurate and useful results.

Evo

Evo

Key Features

Use Cases

Key Features

Use Cases