Let AI assistants access and update Basecamp content with approval controls.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "basecamp-mcp-server" yet — see the docs or source repo.
Please read the messages and to-dos in this Basecamp project, then summarize current progress, blockers, and next actions by theme.
A structured progress summary based on project messages and to-dos.
Please review the Basecamp Card Table, report the current status of each card, and identify items that need priority attention.
An overview grouped by card status, plus highlights of priority items.
After I give explicit approval, mark the specified Basecamp to-do as complete and confirm what was changed.
It waits for approval first, then performs the to-do update and returns a change confirmation.
Product managers or team members can ask AI to read Basecamp projects, messages, and to-dos to quickly understand progress and outstanding work. This is useful for pre-meeting summaries.
In collaborative work settings, users can have AI review messages, to-dos, and Card Tables to turn scattered information into an easier-to-read overview. This reduces time spent manually searching project records.
When Basecamp content needs to be changed, the tool stays read-only by default and only performs write actions after explicit user approval. This fits teams that need tighter change control.
It lets AI assistants interact with Basecamp and access projects, messages, to-dos, and Card Tables. Access is read-only by default.
Not by default. Write operations require explicit user approval before they are performed.
Based on the provided description, it supports projects, messages, to-dos, and Card Tables. For more details, see the source repository.
Automate Basecamp projects, todos, comments, and team collaboration with AI.
Connect to Basecamp via MCP to manage projects, todos, messages, and teamwork.
Manage Basecamp Classic projects, to-dos, messages, and time entries via API.
Lets AI agents work with 1C and BAS ERP via REST and HTTP.
Connect AI assistants with Jira and Confluence for collaborative information access.
Create, update, and query Redmine projects and issues through chat.