Summarize sprint scope across Linear and GitHub for Engineering teams | Copy-Paste AI Recipe

Name: Summarize sprint scope across Linear and GitHub for Engineering teams
Prep time: 41 min
Ingredients: GitHub AI system; Brave Search AI system

NextFlows Contributors

doi:nextflows.ai/recipes/summarize-sprint-scope-across-linear-and-github-engineering-40

⚡ TL;DR

✓ Reduce debugging time by grouping logs, likely causes, owners, and verification steps into one checklist
✓ 41 minutes to first success
✓ Approval required
✓ Uses GitHub MCP, Brave Search MCP

Before you start

0/4

Claude Desktop installedGitHub MCP access configuredBrave Search MCP access configuredPermission for GitHub read access, Brave Search read access, Write permission for approved automation actions

Setup (41 min)

0/6

1Connect GitHub MCP in your MCP client and confirm the server shows as available.

2Connect Brave Search MCP so the assistant can combine context.

3Grant the minimum read scopes needed for this planning workflow.

4Open the workspace, channel, repository, database, or account you want the assistant to use.

5Paste the prompt from this recipe into your AI client.

6Review the result, confirm source links, and copy the approved output into your working document.

The prompt

You are helping a Engineering teammate with this workflow: Summarize sprint scope across Linear and GitHub.
Use the connected GitHub MCP, Brave Search MCP tools to gather only the information needed for planning.
Create a concise result with: summary, important details, recommended next actions, owners, and links to sources.
Flag anything uncertain, stale, sensitive, or missing instead of guessing.
Before taking any write action, show me the exact change and wait for my approval.

Paste into Claude Desktop. It will use your connected AI servers: GitHub MCP, Brave Search MCP.

Expected outcome

Reduce debugging time by grouping logs, likely causes, owners, and verification steps into one checklist

Success checklist

0/4

The output explains the planning context in plain English.Every recommendation includes a source, owner, or next action.Sensitive data is summarized only at the level needed for the task.Engineering teammates can use the result without asking for extra background.

Troubleshooting

MCP server is not available in the client

Cause

The server config was not saved, the client was not restarted, or Node.js cannot run npx.

Solution

Run GitHub MCP manually with its install command, then restart your MCP client.

The assistant cannot find the expected records

Cause

The connected account lacks access to the workspace, channel, repo, database, or page.

Solution

Grant the missing read scope and test with one known record before running the full recipe.

The result is too broad or includes stale context

Cause

The prompt did not limit the date range, source, account, or project clearly enough.

Solution

Add the relevant team, date range, channel, repo, account, or page name to the prompt.