Your AI assistant can work in minddy.
Ask Claude Code, Codex or Cursor to read your issues, create a plan and update progress. MCP is the connection that lets your assistant use minddy.
Connect your AI assistantMCP server address
https://www.minddy.app/api/mcpApprove access in your browser
Available on every minddy plan, including Free. Sign in with your minddy account; no API key is needed.
Connect your AI assistant
Find your assistant below and follow its setup instructions. Then sign in to minddy in your browser to approve access.
Let your assistant set it up
Paste this prompt into your assistant to guide it through connecting to minddy.
Add the minddy MCP server to my setup. It is a remote MCP server at https://www.minddy.app/api/mcp, over HTTP with OAuth, and there is no API key to create. Read https://www.minddy.app/llms.txt for the exact steps, register it for the agent you are running in, then tell me how to approve access.
Claude Code
Paste this command in your terminal, then authorize access in your browser.
claude mcp add --scope user --transport http minddy https://www.minddy.app/api/mcpClaude Desktop
In Claude Desktop or claude.ai: Settings → Connectors → Add custom connector, then paste this URL.
https://www.minddy.app/api/mcpCodex
Paste this command in your terminal, then authorize access in your browser.
codex mcp add minddy --url https://www.minddy.app/api/mcp && codex mcp login minddyCursor
Paste into ~/.cursor/mcp.json, then sign in when Cursor asks.
{ "mcpServers": { "minddy": { "url": "https://www.minddy.app/api/mcp" } } }Gemini CLI
Paste this command in your terminal, then authorize access in your browser.
gemini mcp add --scope user --transport http minddy https://www.minddy.app/api/mcpVS Code
Paste this command in your terminal, then authorize access in your browser.
code --add-mcp '{"name":"minddy","type":"http","url":"https://www.minddy.app/api/mcp"}'Windsurf
Paste into ~/.codeium/windsurf/mcp_config.json (Windsurf → Settings → MCP), then sign in when prompted.
{ "mcpServers": { "minddy": { "serverUrl": "https://www.minddy.app/api/mcp" } } }
What an agent does in minddy
Your assistant can read and update project information in minddy, so your team can see the results.
- Read an issue with its full context.
- Add a task plan and mark completed steps.
- Update an issue’s status, priority, assignee, or objective.
- Create issues and objectives, and link them together.
- Report back in a comment.
- Read and write the project's wiki pages.
- Review the pull request opened on the issue.
- Work with your notes, personal schedule, and user feedback.
Three ways to move work forward
Here are three requests to try after connecting your assistant. Replace MIN-42 with one of your issue numbers.
Write an implementation plan
The assistant reads the issue and saves a step-by-step plan in minddy. If it also has access to your code, it can use that context.
Ask this
Read MIN-42 in minddy and write its implementation plan.
Keep work up to date
Ask the assistant to mark each plan task as complete when it finishes. Your team can follow progress directly on the issue.
Ask this
Work through the plan on MIN-42 and keep its tasks up to date.
Turn decisions into issues
Describe the work you agreed on. The assistant creates issues with a description and priority, ready for your team to review.
Ask this
Create issues in minddy for everything we just decided.
You stay in control
You approve each connection and can remove its access from your account.
Your account permissions apply
The assistant can access the same projects as your account and makes changes on your behalf.
One approval, in the browser
When you first connect, choose your minddy account and approve the access request in your browser.
Remove access from your account
Open the connected apps in your account settings to revoke an assistant’s access.
Frequently asked questions
Create a project, add your first tasks, and invite your team. Connect an AI agent when you want help with the work.
