ChatGPT
GitHub
OpenAI

ChatGPT + GitHub + OpenAI integrations

Automate issue triaging, PR summaries, code feedback, and developer comment generation across ChatGPT, GitHub, and OpenAI.

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Popular automation
Trigger
Issue is created in GitHub
in GitHub
Instant
Actions
Check moderation in OpenAI
in OpenAI
Classify text in ChatGPT
in ChatGPT
Create an issue comment in GitHub
in GitHub

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Ready Workflows Ready Workflows   for ChatGPT + GitHub + OpenAI integration

Screen issues for safety, classify bugs, summarize code updates, generate developer feedback, and post comments, all in just one click.

Screen inbound GitHub issues for policy violations with OpenAI, classify them using ChatGPT, and post a triage comment

Issue is created in GitHub→Check moderation in OpenAI→Classify text in ChatGPT→Create an issue comment in GitHub
Screen new issues with OpenAI and ChatGPT before posting an automated triage comment on GitHub.
Manual issue screening slows down open-source and internal software teams. This workflow checks incoming issues for compliance policy violations using OpenAI and classifies the bug type through ChatGPT. It posts an automated triage comment so your engineering team can prioritize work without checking every submission by hand.
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Summarize lengthy GitHub user bug reports with ChatGPT, edit them via OpenAI, and update the issue template

Issue is created in GitHub→Summarize text in ChatGPT→Create edits in OpenAI→Update issue in GitHub
Summarize and rephrase messy user bug reports into clean markdown templates on GitHub.
Long user-submitted bug reports often lack structure and standard formatting. This automation reads the issue body with ChatGPT, applies structured edits using OpenAI, and updates the GitHub issue automatically. Your developers get clean, standardized descriptions without editing text manually.
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Detect frustrated issue submitters in GitHub using ChatGPT sentiment analysis and reply with an empathetic AI response

Issue is created in GitHub→Analyze text sentiment in ChatGPT→Continue only if sentiment is negative→Generate with AI in OpenAI→Create an issue comment in GitHub
Detect negative sentiment in GitHub issues and reply with an empathetic acknowledgment generated by AI.
Developer relations teams need to spot frustrated users before issues escalate. This setup analyzes incoming comment and issue sentiment with ChatGPT, checks if the tone is negative, and generates a de-escalation response using OpenAI. It posts an empathetic acknowledgment directly back to the GitHub issue thread.
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Match incoming GitHub issues against documentation with ChatGPT search and post a moderated reply

Issue is created in GitHub→Search web in ChatGPT→Check moderation in OpenAI→Create an issue comment in GitHub
Search documentation via ChatGPT and screen answers with OpenAI before replying to GitHub issues.
Providing fast first-line support on public repositories takes time away from coding. This workflow searches the web via ChatGPT for relevant answers, screens the proposed text for safety using OpenAI, and posts a helpful solution straight to the GitHub issue. Users get quick troubleshooting help without manual lookups.
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Extract structured ticket details from GitHub pull requests using ChatGPT and format release notes via OpenAI

Pull request is created in GitHub→Extract structured data in ChatGPT→Create edits in OpenAI→Update pull request in GitHub
Extract ticket IDs and breaking changes from GitHub pull requests and format them into standard release templates.
Devops teams require consistent pull request descriptions for release auditing. This automation parses out ticket references and breaking changes using ChatGPT, formats the text with OpenAI, and updates the pull request body. It removes the need for engineers to format release summaries by hand.
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Check public GitHub pull requests for safety with OpenAI and post a concise change summary from ChatGPT

Pull request is created in GitHub→Check moderation in OpenAI→Summarize text in ChatGPT→Create an issue comment in GitHub
Screen pull requests for policy violations and post a concise AI summary for code reviewers.
Reviewing large pull requests slows down team velocity and community collaboration. This workflow screens PR descriptions for toxic commentary using OpenAI and generates a concise change summary with ChatGPT. Reviewers get a clear overview of what changed while community standards remain protected.
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Translate multilingual GitHub pull requests into English using ChatGPT and polish descriptions with OpenAI

Pull request is created in GitHub→Create translation in ChatGPT→Create edits in OpenAI→Update pull request in GitHub
Translate non-English pull requests into English and format descriptions for international engineering teams.
Global engineering teams often receive pull requests submitted in different languages. This setup translates the description into English using ChatGPT, polishes the text with OpenAI edits, and updates the GitHub pull request. International teams can review code contributions without language barriers.
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Turn negative feedback left on GitHub commit comments into formal tracking issues with OpenAI and ChatGPT

Commit comment is created in GitHub→Analyze text sentiment in ChatGPT→Generate with AI in OpenAI→Create issue in GitHub
Detect critical feedback on commit diffs and turn them into structured GitHub tracking issues.
Important review discussions on code commits sometimes get lost in comment threads. This automation monitors commit comments for problem sentiment using ChatGPT, drafts actionable remediation steps via OpenAI, and creates a formal tracking issue in GitHub. Review blockers are captured before slipping through the cracks.
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Extract error stacks from new GitHub repository issues and query web search via OpenAI to recommend workarounds

Repo issue is created in GitHub→Extract structured data in ChatGPT→Generate response using web Search in OpenAI→Create an issue comment in GitHub
Extract error logs from new issues and search the web for troubleshooting solutions automatically.
Systems support teams spend hours searching for known workarounds for reported software errors. This workflow extracts structured error details using ChatGPT, queries web search via OpenAI, and posts the recommended fix directly to the GitHub issue thread. Troubleshooting starts the moment an issue is filed.
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Classify newly pushed GitHub branches and convert them into draft pull requests with AI descriptions

Branch is created in GitHub→Classify text in ChatGPT→Generate with AI in OpenAI→Create pull request in GitHub
Classify new feature branches and automatically open draft pull requests with AI-generated descriptions.
Agile development squads follow strict branch naming conventions for feature work. This setup classifies branch nomenclature using ChatGPT, drafts a detailed description via OpenAI, and creates a ready-to-review pull request in GitHub. Routine setup work is handled automatically for your developers.
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Steps to connect ChatGPT, GitHub and OpenAI

  1. Log in to Integrately
  2. Search and select ChatGPT and GitHub
  3. Pick a ready 1-click automation or select the desired trigger-action pair
  4. Securely connect your ChatGPT & GitHub accounts
  5. Add OpenAI in the next steps of your workflow
  6. Map the fields across all three apps
  7. Test it, then switch it on Done

How the data usually flows between ChatGPT, GitHub and OpenAI

Information moves automatically from code events to intelligent AI processing and back into your repositories.

GitHub
GitHub
The workflow triggers the moment an issue, pull request, or commit comment is created. Nobody has to check for new code activity manually.
Capture
OpenAI
OpenAI
Incoming text is evaluated for policy violations and safety rules before any conversational analysis or editing takes place.
Screen
ChatGPT
ChatGPT
ChatGPT reads the submission, extracts key details, analyzes sentiment, or summarizes changes according to your configured instructions.
Process
GitHub
GitHub
The polished summary, classification tag, or automated reply is posted straight back into GitHub. Your team gets instant context without routine busywork.
Action
ai-icon
Fully Automated
Once set up, your data moves seamlessly
between ChatGPT, GitHub and OpenAI.
ChatGPT
GitHub
OpenAI
One continuous flow, Zero extra effort.

Supported triggers and actions

A trigger is what starts the automation. An action is what it does next. Mix any of these across the three apps.

ChatGPT
ChatGPT Triggers & Actions
No trigger is available
Generate Response Using Web Search in ChatGPT
Generates a response using real-time web search data based on the provided input.
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Create embedding in ChatGPT
Generates word embeddings
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Create translation in ChatGPT
Translates text into multiple languages
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Create transcription in ChatGPT
Converts audio to text
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Generate image in ChatGPT
Automatically generates images
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Call remote mcp server in ChatGPT
Initiates a call to a remote MCP server
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Create vector storage in ChatGPT
Stores data in vector format
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Create moderation in ChatGPT
Implements content moderation filters
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Extract structured data in ChatGPT
Retrieves organized information from a source
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Search web in ChatGPT
Conducts a search on the web
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Generate with AI in ChatGPT
Retrieves information or data from a source
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Write an email in ChatGPT
Generates an email draft based on the provided input and instructions
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Summarize text in ChatGPT
Summarizes the provided text
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Classify text in ChatGPT
Categorize and group text data based on predefined criteria
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Analyze text sentiment in ChatGPT
Analyze the sentiment of the given text
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Send message to Assistant in ChatGPT
Starts a new conversation with the assistant
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GitHub
GitHub Triggers & Actions
Commit is created in GitHub
Triggers the automation when a new commit is created
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Issue is created in GitHub
Triggers the automation when a new issue is created
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Repo issue is created in GitHub
Triggers the automation when a repository issue is created
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Issues assigned to me from a GitHub organization in GitHub
Triggers the automation when a GitHub issue is assigned to the particular user
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Repository is created in GitHub
Triggers the automation when a repository is created
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Pull request is created in GitHub
Triggers the automation when a new pull request is created
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Release is created in GitHub
Triggers the automation when a new released is created
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Repo event is created in GitHub
Triggers the automation when a repository event is created
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Commit comment is created in GitHub
Triggers the automation when a comment is added to a commit in the repository
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Gist is created in GitHub
Triggers the automation when a new gist is added
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Team is created in GitHub
Triggers the automation when a new team is created
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Milestone is created in GitHub
Triggers the automation when a new milestone is created
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Branch is created in GitHub
Triggers the automation when a new branch is created in a git repository
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Organization is created in GitHub
Triggers the automation when a new organization is created
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Label is created in GitHub
Triggers the automation when a new label is created
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Collaborator is created in GitHub
Triggers the automation when a new event or workout session is scheduled
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Create issue in GitHub
Generates a new issue for tracking and resolving
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Update issue in GitHub
Updates issue details with the latest information
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Create an issue comment in GitHub
Adds a new comment to an issue
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Create pull request in GitHub
Creates pull requests for code changes
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Update pull request in GitHub
Updates a pull request with new changes
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Create gist in GitHub
Creates a new gist
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Search Repository in GitHub
Searches for a repository
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Search user in GitHub
Searches for a user
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Search pull requests in GitHub
Searches for pull requests
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Delete branch protection in GitHub
Removes branch protection settings on a particular branch
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Search issue in GitHub
Searches for an issue
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OpenAI
OpenAI Triggers & Actions
No trigger is available
Generate response using web Search in OpenAI
Generates a response using real-time web search data based on the provided input.
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Generate image in OpenAI
Creates visual content using input data
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Generate with AI in OpenAI
Creates content based on particular criteria
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Check moderation in OpenAI
Moderate content based on pre-defined criteria
Try it →

Who this setup is for

Open-source maintainers
Open-source maintainers
DevOps and platform engineers
DevOps and platform engineers
Software engineering teams
Software engineering teams
Developer relations specialists
Developer relations specialists
📋 Open-source maintainers
You receive high volumes of community issues and struggle to screen submissions and categorize bug reports manually. This setup filters spam, classifies tickets, and posts helpful triage comments automatically.
🎙️ DevOps and platform engineers
You need every new repository and pull request to follow strict formatting and release note guidelines. This automation extracts metadata, formats PR descriptions, and keeps your projects compliant.
🔁 Software engineering teams
Your developers spend too much time summarizing lengthy bug reports and organizing tracking issues. This workflow processes feedback, drafts implementation plans, and keeps your boards up to date.
🗂️ Developer relations specialists
You need to spot frustrated users and provide fast, empathetic answers on public repository threads. This setup analyzes sentiment and delivers AI-assisted responses while maintaining community standards.
Our team

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Everything this automation handles for you

Everything this automation handles for you
Safety and moderation screening
Screen inbound issue descriptions and comments for policy violations using OpenAI before any automated replies are posted to your repository.
Contextual sentiment analysis
Analyze user comments and issue text using ChatGPT to detect frustration levels and trigger empathetic, high-priority responses.
Structured text summarization
Turn lengthy bug reports, code commits, and pull requests into concise summaries and standardized engineering templates.
Auto-retry failed steps
If an API call or comment posting fails temporarily, the automation can retry the step instead of leaving your workflow half-finished.

Why choose Integrately to automate ChatGPT + GitHub + OpenAI

Build and manage your ChatGPT + GitHub + OpenAI automations with ready-made flows, AI assistance, 24x5 reliable human support, and enterprise-grade security.

1,500+ apps connected
1,500+ apps connected
Connect ChatGPT + GitHub + OpenAI with email, CRM, messaging, finance, support, and other tools whenever your process needs another step.
20M+ Ready Automations
20M+ Ready Automations
Start with 20 million+ proven automation templates instead of building everything from scratch. Pick the closest flow, connect your accounts, and automate in minutes.
AI that builds your automations
AI that builds your automations
Describe your workflow in plain English. Integrately AI builds it, maps fields, adds conditions, and even lets you edit it through chat.
24x5 Live Chat Support
24x5 Live Chat Support
Chat with a real person and get reply within 2-5 minutes. No bots, no tickets, no waiting — just real help, right when you need it.
Free done-for-you setup
Free done-for-you setup
Tell our team what you need and we will help set up the automation in your account at no extra cost on any plan.
Secure by design
Secure by design
SOC 2 Type II and ISO 27001:2022 certified, with GDPR-compliant data practices. Your data and credentials are handled using recognised security and privacy standards.
Price Comparison with Popular Alternatives
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Prefer to connect just two apps? Explore each combination separately

ChatGPT
GitHub
ChatGPT + GitHub
Analyze repository issues, classify bug reports, and generate automated comments.
Explore Integrations
OpenAI
GitHub
GitHub + OpenAI
Screen code comments and pull requests for moderation and safety compliance.
Explore Integrations
ChatGPT
OpenAI
ChatGPT + OpenAI
Combine conversational agents with advanced natural language and image generation tools.
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Questions people ask

Can GitHub issues automatically trigger safety moderation and classification in OpenAI and ChatGPT?
Frequently Asked Questions
Yes, Integrately has a ready workflow to screen incoming GitHub issues for safety and classify their contents. When an issue is created in GitHub, Integrately checks moderation in OpenAI, classifies the text in ChatGPT, and posts an automated triage comment.
Can ChatGPT summarize long bug reports submitted to GitHub issues?
Frequently Asked Questions
Does ChatGPT sentiment analysis detect negative feedback on GitHub commit comments?
Frequently Asked Questions
Can pull requests be automatically summarized and checked for moderation between GitHub, OpenAI and ChatGPT?
Frequently Asked Questions
Do I need coding skills to connect ChatGPT, GitHub and OpenAI?
Frequently Asked Questions
How quickly do workflows run when a new GitHub issue or pull request is created?
Frequently Asked Questions
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