Your AI tools.
Your project context.
Bring the work into the conversation. Connect a compatible AI client to Leera
and give it the context—and the access—it needs.
ClaudeA clearer sprint updateSummarize the current sprint in Atlas. What needs our attention?
The release is taking shape. 8 of 12 issues are complete, with one blocker to resolve before the next handoff.
Make checkout feel effortless
Make the purchase journey reliable, from the first click to the confirmation.
Read context. Understand the work.
Your client ↔ Your workspaceExample workflows. Available tools and authentication depend on your client and Leera instance.
The context is already here.
Bring your AI to it.
Issues, sprints, test results, and the decisions around them. Let a connected client use the tools exposed by your Leera instance, starting with a focused workspace task.
Start in a familiar conversation.
Tickets & sprints
Create, update, link, and transition tickets. Bring the next sprint into the conversation.
Projects & workflows
Read project state, workflows, releases, and the team structure around the work.
QA & test results
File test outcomes and query runs from your coding agent after CI.
Data queries
Ask analytical questions with tools that query your workspace data.
Charts & reports
Generate visualizations and reports from the client you are already using.
Comments & updates
Put the summary, the decision, and the next step back into the ticket thread.
Discover the tools available in your instance and choose the appropriate scopes before you begin.
A useful connection.
A clear boundary.
Your client’s access should match the work it is meant to do. Use supported OAuth consent or a scoped token, then keep that connection visible in settings.
Open the right doors.
Keep the keys.
Limit the projects and actions to the task at hand. Set an expiry, review activity, and revoke credentials when the work is done.
- Review the request
- Check the client and requested access before completing a supported consent flow.
- Choose the scope
- Give a token access to the projects and capabilities it needs.
- Stay in control
- Inspect credentials, review activity, and revoke unused access from settings.
Choose the projects and actions a token can access. Inspect and revoke it in settings.
A familiar tool.
A little more context.
Copy your instance’s endpoint, follow your client’s connection instructions, and begin with a simple read. Build up to the actions your workflow needs.
https://YOUR-LEERA-INSTANCE/mcpCopy the configured endpoint from Leera settings. The actual address depends on your deployment.
Read the MCP connection guide- 01
Copy your endpoint
Use the MCP URL shown in Leera settings, then follow the setup instructions for your client.
- 02
Choose the access it needs
Use the supported authentication flow or create a scoped token. Store a new token securely; its secret is shown only once.
- 03
Read, then take an intentional action
Retrieve a familiar issue and verify the result. Try a permitted update, then check the record in Leera.
Clients differ in transport, authentication, and tool support. Check your client’s instructions and use your instance’s actual endpoint.
04 / The practical details
A little clarity. Before you connect.
Does every MCP client support the same setup?+
No. Clients differ in transport, authentication, and tool support. Check the connection instructions for your client, use your instance’s actual MCP endpoint, and test a simple read before depending on a more complex workflow.
Can we limit access to particular projects?+
MCP token settings support scopes and project restrictions. Choose the narrowest access that supports the intended work, set an appropriate expiry, and revoke credentials when the client or project no longer needs access.
Take your project context
with you.
Connect a compatible AI client. Start with one useful task.