Your crews capture useful information throughout a job, including progress photos, customer details, comments, checklists, assignments, and updates. Connecting that information to an AI tool gives your team another way to find and use project details.
With the CompanyCam MCP Server, supported AI tools can work with information from your CompanyCam account. You can ask questions about projects, review jobsite photos, organize documentation, and complete supported actions using the information your team has already captured.
Use AI to find answers across your projects
Information about a job can live across photos, comments, assignments, and project details. With CompanyCam connected, an AI tool can pull from supported project information to answer questions using the documentation available in your account.
Ask questions about your project data
You can shape each request around the information you need. Depending on the available project data, you could ask questions like:
- Which projects have had activity during a certain date range?
- What work appears complete based on the available photos?
- Which projects have a particular Label?
- Who is assigned to a specific project?
- What comments have been added to a project?
This can be useful when reviewing an older job or looking for information across multiple projects. The AI tool can use the connected project context to help you narrow down the information related to your request.
Search your jobsite photos with AI
Photos capture details about materials, installation progress, existing conditions, and completed work. The CompanyCam MCP Server allows supported AI tools to access photos and related project information, including the visual content shown in supported images.
Search based on what the photos show
This gives you another way to search jobsite documentation based on what appears in a photo. Requests could focus on:
- Exposed decking on a roofing project
- Visible water damage on a restoration job
- Installed equipment on an HVAC project
- Completed fixtures on a plumbing job
- Cabinets before and after installation on a remodel
The request can focus on the job information you need. The AI tool can use available visual and written context from CompanyCam to identify relevant photos.
Turn project activity into useful summaries
Comments and photos captured throughout a job create a record of project activity. A connected AI tool can use that information to summarize available project context for a meeting, progress review, or other workflow.
The information your team captures determines the context available to the AI. Detailed photos, descriptions, and comments give the connected tool more project information to reference, and following best practices when using AI tools in CompanyCam can help teams provide useful context.
Put project summaries to work
You can tailor the request to a single project or work across multiple projects when supported. Summaries can help your team:
- Prepare for production meetings
- Review recent project activity
- Get context before contacting a customer
- Catch up on a project after time away
- Review progress across several active jobs
A project manager, for example, could ask for a recap of recent activity before a production meeting and use the results to identify the project details they want to review.
Organize jobsite documentation in batches
MCP can help teams organize information that has already been captured in CompanyCam. With the appropriate access, a connected AI tool can work with supported information such as Tags, Labels, photo descriptions, comments, and Project Groups.
Handle organizational tasks across projects
Instead of working through each piece of documentation individually, you can give the connected AI tool instructions that cover a larger set of supported information. Depending on current capabilities, that could include:
- Finding photos that are missing Tags
- Organizing photos based on available context
- Adding Labels to supported projects
- Updating photo descriptions
- Working with supported Project Groups
The available actions depend on the MCP connection and the user’s CompanyCam role. CompanyCam’s permission roles determine what account information and actions are available to individual users.
Set up projects from a conversation
Some MCP workflows can include actions inside CompanyCam. With read-and-write access, supported AI tools can create and update certain CompanyCam information based on the request and available permissions.
Turn job details into project information
You could provide information for upcoming jobs and ask the AI tool to create supported project records. Depending on current MCP capabilities, your request could include:
- Creating a project
- Adding customer information
- Assigning users
- Adding an available checklist
- Attaching an available task list template
The AI tool uses the information provided in the conversation along with the CompanyCam actions available through MCP. This allows a conversation to become part of the project setup process while keeping the resulting project information in CompanyCam.
Build AI workflows around the way your company works
MCP can combine supported CompanyCam information and actions around workflows your team already uses. The specific workflow depends on the CompanyCam information available and what the connected AI tool is being asked to accomplish.
Use MCP across different roles
Teams can build requests around the information different roles need during a job:
- Project managers: Review active projects before production meetings, check recent job activity, and pull together updates from the field.
- Office teams: Research project history before responding to a customer, coordinating upcoming work, or answering questions about job progress.
- Sales teams: Reference photos and information from completed projects when preparing for similar work or discussing project details with a customer.
- Owners: Review information across multiple projects to get context on current work, recent activity, and what’s happening across the business.
Teams building more technical workflows can use the CompanyCam MCP Server with supported tools to work with additional CompanyCam data and capabilities. The Developer Portal provides current setup information for these connections.
Understand what your AI tool can change
Access to CompanyCam through MCP depends on the user’s permissions and the permissions granted to the connection. CompanyCam provides more information about using the CompanyCam MCP Server with supported AI tools.
Read-only access
A read-only connection can retrieve supported CompanyCam information without changing it. This access can work well for workflows focused on finding, reviewing, or summarizing available project information.
Read-and-write access
A read-and-write connection can retrieve information and perform supported actions. Depending on current MCP capabilities, those actions can include updating certain project information, adding comments, assigning users, or organizing photos.
The CompanyCam MCP Server is currently in Beta, so available actions and limitations can change. Refer to current CompanyCam documentation when deciding which workflows to build around the connection.
Get more from your CompanyCam project data
MCP gives supported AI tools access to CompanyCam context that can be used throughout a conversation. Teams can use that connection to search project history, review jobsite photos, and complete supported CompanyCam actions based on the task at hand.
Use AI inside and outside CompanyCam
CompanyCam also offers CompanyCam Assistant for working with project information through AI directly in CompanyCam. These AI workflows give teams different ways to use the project information captured throughout their work.
If your team uses Claude, you can follow the CompanyCam and Claude connection process. CompanyCam also provides instructions for how to connect CompanyCam to Claude or ChatGPT using the MCP Server.
Use AI across your business
AI can support other parts of a contracting business as well. For example, AI is changing how customers find and evaluate contractors, giving contractors another area to consider as AI becomes part of customer research and project workflows.
