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Manage CompanyCam projects, photos, tags, comments, and users with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "companycam-mcp" yet — see the docs or source repo.
Check photos in the CompanyCam project "Roof Repair - East" and add the tag "Needs Review" to photos uploaded this week.
Returns the photo processing results for the target project and indicates which photos were tagged.
List the latest comments on the CompanyCam project "Warehouse Exterior Inspection" and reply to each with "Received, we will follow up today."
Outputs the latest comments and confirms the results of the batch replies.
Check the users related to the CompanyCam project "Store Renovation Phase A" and tell me which members are currently involved.
Returns a summary of users or members related to the project for collaboration review.
Field teams or office staff can use natural language to organize CompanyCam projects and photos, reducing manual searching and repetitive actions. It fits workflows that frequently update tags or review photo status.
When teams need to discuss and follow up on project photos, they can manage comments directly to improve communication efficiency. This is useful for construction, inspection, or field documentation workflows.
Project leads can query user information in CompanyCam to quickly confirm who is involved in a project. This is helpful for coordination in multi-person workflows.
This is an MCP tool that uses natural language to access the CompanyCam API for managing projects, photos, tags, comments, and users. Its main value is turning common actions into conversational commands.
Based on the description, it depends on the CompanyCam API, so you will typically need the appropriate API access. For exact setup details, see the source repository.
It is known to manage projects, photos, tags, comments, and users. To verify more detailed operation coverage, see the source repository.
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