GitHub
Repository scope
Connect the codebase behind the roadmap.
Select the repository and scope WingmanPM may read.
Architecture, product vocabulary, and technical constraints become part of the context behind AI-assisted product work.
One connected product loop
Your product context, finally connected.
Bring feedback, code, delivery work, and your AI assistant into one product loop—so nothing gets lost between what customers say and what your team ships.
Intercom
Zendesk
Slack
Microsoft Teams
Jira
GitHub
Google Forms
GitLab
Linear
MCP
The integration world
Context should move. Your team should not.
WingmanPM connects the systems that hear the customer, explain the product, track delivery, and host the conversation.
Collect signal
Every place customers speak becomes product evidence.
IntercomZendeskSlackMicrosoft TeamsJiraGitHubGoogle Forms
ThemeEvidencePriority
Understand the product
Repository context sharpens every AI-assisted decision.
Synchronize delivery
Approved work moves out. Progress comes back.
Work with the agent
Ask from the channel already open.
Feedback ingestion
Feedback does not arrive in a feedback tool.
It shows up in support tickets, chat threads, forms, issues, and pull requests. WingmanPM brings those fragments into one evidence trail, so the roadmap reflects more than the loudest room.
Intercom
Source connected to evidence
The original conversation stays attached, ready to support a theme, priority, or product decision.
Product context and delivery
Give every decision the context behind the product.
Repository connections teach WingmanPM how the product is built. Delivery connections carry approved work into engineering and bring progress back.
GitLab
Repository context
The same product context, from GitLab.
Feed a selected repository into the same knowledge and analysis layer.
WingmanPM can reason with the code structure behind the product instead of guessing from a feature name.
Jira
Task sync
Keep WingmanPM and Jira on the same page.
Map statuses and carry task changes in both directions.
Product decisions stay connected to engineering delivery without maintaining two backlogs by hand.
Linear
Delivery loop
One delivery loop, without two backlogs.
Carry approved work to Linear and return progress to WingmanPM.
The customer evidence remains upstream while the engineering team works in the tracker it already knows.
Agent channels and MCP
Ask where the team already talks.
Slack and Teams become working surfaces for the WingmanPM agent. MCP opens the same grounded product context to compatible AI clients.
Slack
Ask in the channel. Keep the answer grounded.
Summarize a theme and return to the linked evidence without leaving the conversation.
The agent answers from the WingmanPM workspace context instead of inventing a plausible product story.
Use arrow keys or controls
#product-feedback
@Wingman
Summarize the feedback behind checkout setup.
Grounded answerSetup friction is the strongest pattern. The answer stays linked to the conversations behind it.
ThreadConversationEvidence
Keep the loop intact
Stop rebuilding product context by hand.
Connect the places where customers speak, engineers work, and your agent acts. WingmanPM carries the context.