AI agents are quickly changing how teams interact with software. Instead of manually clicking through every step of a workflow, teams are beginning to delegate meaningful, multi-step work to AI agents that can reason through a process, ask for clarification when needed, and take action across connected systems.
Bluerithm is ready for that future.
We’re excited to announce that the Bluerithm MCP (Model Context Protocol) Server is now available, making it possible for customers to connect their own AI agents to Bluerithm and create projects directly through an agent-driven workflow.
What is the Bluerithm MCP Server?
The Bluerithm MCP Server gives AI agents a structured way to interact with Bluerithm. With it, your AI agent can connect to Bluerithm, understand available workflows, and take action on your behalf.
One of the first and most powerful use cases is project creation.
Instead of starting from a blank project and manually building out the structure, equipment, work items, and related setup, you can instruct your own AI agent to create a new project in Bluerithm. The agent can use your project documents, your standards, and your existing Bluerithm templates to completely assemble the project .
That means AI can help turn drawings, specifications, templates, and project requirements into a structured Bluerithm project faster than ever before.
Bring Your Own AI Agent
The Bluerithm MCP Server is designed to work with the AI tools and agents your team chooses to use.
Whether your organization is experimenting with AI assistants, building internal agents, or using agentic tools to streamline project administration, the MCP Server provides a path for those agents to interact with Bluerithm in a controlled and structured way.
This opens the door to workflows like:
- Creating a new project from project documents
- Pulling key project details from drawings or specifications
- Matching equipment to existing template equipment types
- Creating or updating equipment types
- Setting up project folders and hierarchy
- Generating or copying checklists, test forms, design reviews, and other work
- Importing equipment and triggering related Bluerithm setup processes
- Reviewing project setup decisions with a human before proceeding
The result is not just automation for automation’s sake. It is a more natural way to work with commissioning software: describe what needs to happen, review the agent’s plan, approve key decisions, and let the agent handle the repetitive setup work.
View an example in the video below:
From Manual Setup to Delegated Workflows
Project setup can be one of the most time-consuming parts of commissioning management. Teams often need to review drawings, identify equipment, organize project structure, create work items, copy templates, configure issue settings, and prepare the project for execution.
With the Bluerithm MCP Server, much of that setup can become a delegated workflow.
An AI agent can review the information you provide, determine the setup steps it needs to take, and work through them methodically. When it needs confirmation, it can ask. When it completes a step, it can verify its work. When it encounters an issue, it can use the feedback from Bluerithm to adjust and retry.
That creates a new model for project administration: one where your team remains in control, but the agent handles much of the heavy lifting.
Built for Human Review and Control
AI is powerful, but project setup still needs professional judgment.
That’s why this workflow is not about removing people from the process. It is about giving teams a more efficient way to get work done while keeping humans involved in the decisions that matter.
For example, an agent might suggest equipment types, folder structures, issue categories, or checklist updates based on the information it finds. Your team can review those recommendations, correct them, refine them, and approve the next step.
This makes the agent feel less like a simple automation script and more like a project assistant that can take direction, explain its work, and adapt as the project evolves.
Why This Matters for Commissioning Teams
Commissioning projects are complex. They involve large amounts of structured and unstructured information, including drawings, specifications, equipment lists, sequences of operation, checklists, test forms, issues, reports, and closeout documentation.
AI agents are well suited to help with this kind of information-heavy work, but they need the right connection points into the software systems where the work actually happens.
The Bluerithm MCP Server provides that connection.
It allows your agent to move beyond simply summarizing documents or drafting text. Your agent can now help create real project structure inside Bluerithm.
For commissioning teams, that means:
- Faster project startup
- Less repetitive administrative work
- Better use of existing templates and standards
- More consistent project setup
- More time for engineering judgment, review, and field execution
- A foundation for future AI-assisted workflows in Bluerithm
A New Way to Interact With Bluerithm
For years, software has required users to navigate menus, fill out forms, upload spreadsheets, and click through each step of a process.
That is changing.
With the Bluerithm MCP Server, teams can begin interacting with Bluerithm in a more conversational and delegated way. You can tell your AI agent what you want to accomplish, provide the source materials, and let it coordinate the setup work through Bluerithm.
This is an important step toward a future where AI agents work alongside project teams, helping manage the complexity of commissioning and project delivery.
Get Started
The Bluerithm MCP Server is now available for teams that want to connect their own AI agents to Bluerithm and begin creating projects through agent-driven workflows.
If your team is exploring AI-assisted commissioning, automated project setup, or custom agent workflows, this is a powerful new way to extend what Bluerithm can do.
Bring your agent. Connect it to Bluerithm. Start creating projects in a whole new way.
