GitHub
List Pull Requests
Fetch recently opened or updated pull requests from the repository.
Use this recipe
Connect these apps through Metorial, then paste the prompt into Claude, ChatGPT, Cursor or any MCP client.
When pull requests are opened or updated in a GitHub repository, the agent reviews the diff context, posts a structured review summary to the engineering Microsoft Teams channel, and requests reviewers based on file ownership. Use GitHub and Microsoft Teams through Metorial. Tools to use: List Pull Requests, Get Repository, Review Pull Request, List Channels, Send Channel Message.
How the workflow runs
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
- 1
Fetch open pull requests
List recently opened or updated PRs from the repository and retrieve repository metadata to understand the team structure.
- github:list_pull_requests
- github:get_repository
- 2
Request reviewers on PRs
Based on changed file paths and team ownership, request appropriate reviewers on each pull request that lacks them.
- github:review_pull_request
- 3
Post PR digest to Microsoft Teams
Send a structured summary to the engineering Teams channel listing open PRs, their age, reviewer status, and any that are blocking merges.
- microsoft-teams:list_channels
- microsoft-teams:send_channel_message
Integrations used in this scenario
GitHub
Get Repository
Retrieve repository metadata including default branch and team settings.
GitHub
Review Pull Request
Request reviewers on the pull request based on changed files.
Microsoft Teams
List Channels
Resolve the engineering team channel ID.
Microsoft Teams
Send Channel Message
Post a structured PR summary to the engineering Teams channel.
Connected systems
Integration
GitHub
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Integration
Microsoft Teams
Send, read, edit, and delete messages in Microsoft Teams channels and chats, with @mentions. Create and manage teams, channels, members, and tags. Schedule and look up online meetings, read user presence, and manage Shifts schedules. Connect a Teams bot to receive and reply to messages in chats and channels.
Expected outcomes
- PRs never sit without reviewers due to automatic reviewer assignment
- Engineering teams see a daily open PR digest without checking GitHub manually
- Review bottlenecks are surfaced before they delay releases
How Metorial powers this scenario
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like monitor github pull requests and post review summaries to microsoft teams into something you can deploy quickly, safely, and at scale.
Fast
Ready for your entire team
Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.
Secure
Guardrails on every action
Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.
Enterprise
SSO, policies, and audit trails
Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.
Team ready
Reusable across your org
Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.
Products behind this workflow
The Metorial products that connect, govern, and observe this scenario.
Connectivity
Integrations
Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.
Connectivity
Magic MCP
A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.
Identity
Access Control
Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.
Governance
Protoguard
Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.
Observability
Tracing
A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.
Governance
Portals
Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.
Built for your whole team
However you adopt AI, Metorial has a path for connecting it safely.
Solution
For Agents
Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.
Solution
For Enterprise
SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.
Solution
For your Workforce
Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.
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