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Plane Integrations in practice: How to connect your tools and workflows

Practical ways to manage requests, track development, and connect AI workflows with the tools your team already uses.

Om Lakhe
●
27 Oct, 2026
Blog cover of Plane Integrations in practice: How to connect your tools and workflows

Integrations are most useful when they do more than connect applications. They should help teams act on information, keep conversations connected, and track work as it moves between tools.

For example, a Slack thread can stay synchronized with comments on a Plane work item, while a linked GitHub pull request can update its state as development progresses. Teams can also use AI tools to manage work, investigate issues, and act on information from external systems.

This guide explores how to put Plane integrations to work across conversations, development, production monitoring, AI tools, and custom workflows.

How integrations work in Plane

Plane supports native integrations, MCP connections, and developer-built integrations. You can explore available tools in the Plane Marketplace, with setup depending on the type of connection.

Native integrations

Native integrations connect Plane to the tools your team already uses, so you don't have to build the connection yourself.

Category
Tools
What you can do

Communication

Create work items from messages, synchronize conversations, and access Plane AI.

Development

GitHub, GitLab, Bitbucket

Link pull requests, automate work item states, and synchronize issues with GitHub or GitLab. Enterprise Git deployments are also supported.

Error monitoring

Sentry

Create work items from production errors and synchronize resolution states.

Productivity

Raycast

Create, search, and update work items from macOS.

Diagramming

draw.io

Create and edit diagrams and whiteboards inside Plane Pages.

Importers serve a different purpose. They bring existing work from tools like Jira, Linear, Asana, and ClickUp into Plane rather than maintaining an ongoing connection.

MCP connections

MCP (Model Context Protocol) lets AI tools connect with Plane in two directions:

  • External AI tools accessing Plane
    Cursor, Claude, Claude Code, and VS Code can retrieve work items, access project context, and update work through Plane's MCP server.
  • Plane AI accessing external tools
    MCP connectors let Plane AI retrieve information and perform supported actions in other applications. Plane Agents can also use configured MCP tools.

Plane offers built-in connectors across several categories:

Category
Connectors
What you can do

Development

GitHub

Access repositories, issues, pull requests, and code.

Monitoring

Sentry

Investigate errors, logs, and performance data.

Product analytics

PostHog

Analyze product usage and user behavior.

Customer insights

Intercom, Evermuse

Review support conversations, customer calls, and feedback.

Meeting intelligence

Granola

Retrieve meeting notes, transcripts, and decisions.

API development

Postman

Access and manage API collections.

Teams can also add custom MCP connectors for services that expose compatible MCP endpoints.

Unlike native integrations, which synchronize specific records or workflow events, MCP connections let AI tools access information and perform supported actions across systems.

APIs, webhooks, and custom apps

For workflows that prebuilt integrations don't cover, Plane's developer platform provides several ways to build your own connections:

  • REST API
    Create, read, and update Plane data from other applications.
  • Webhooks
    Get notified when work items or other records change in Plane.
  • SDKs and custom apps
    Use Node.js or Python SDKs to build integrations, or create custom apps with APIs, webhooks, and authentication.

These options let teams connect internal systems, automate repetitive operations, and build workflows around their existing infrastructure.

Bring conversations into Plane

Feature requests, customer issues, and follow-up tasks often begin in conversations rather than project boards. Plane lets teams capture that context, create work items, and keep discussions connected as work progresses.

Sync with Slack and Microsoft Teams

With Slack and Microsoft Teams connected to Plane, teams can:

  • Create work items
    Turn messages into work items with their original context, or send requests to Intake for triage.
  • Sync threads and work item comments
    Replies in linked threads appear as comments in Plane, and comments in Plane appear in the original threads.
  • Manage work
    View linked work items, update supported properties, and follow progress without switching tools.
  • Use Plane AI
    Create work items, retrieve project information, and check progress by mentioning @Plane.

For example, support can report a checkout issue in Slack while engineering investigates and comments in Plane. Both teams can continue the discussion from their preferred tools, with updates synchronized across the two.

Bring in customer feedback with Intercom

Customer conversations contain feature requests, recurring issues, and details that product teams need to prioritize. Through the Intercom MCP connector, Plane AI can use that context to support work in Plane.

  • Review customer conversations
    Access relevant support discussions and feedback from Intercom.
  • Identify recurring requests
    Summarize repeated issues and highlight common product needs.
  • Create and refine work items
    Turn findings into work items or add customer context to existing ones.

For example, a support lead can ask Plane AI to review conversations about account permissions, identify repeated requests, and create work items for the product team to evaluate.

Turn meeting notes into work with Granola

Product discovery calls and team meetings often produce decisions, open questions, and follow-ups. With Granola connected through MCP, Plane AI can bring meeting context into the work teams manage.

  • Access meeting context
    Retrieve relevant meeting notes and transcripts from Granola.
  • Capture decisions and next steps
    Summarize decisions, unresolved questions, and action items.
  • Create and update work items
    Create follow-up work items or add missing context to existing ones.

For example, after a product discovery meeting, a PM can ask Plane AI to review the Granola notes, identify unresolved requirements, and create follow-up work items so those decisions carry into execution.

Investigate and track production issues

Production errors need to be investigated, prioritized, and resolved alongside planned engineering work. Plane connects monitoring data with the work engineers manage, helping teams respond to incidents without losing context.

Track production errors with Sentry

The Sentry integration connects error monitoring with project execution in Plane. Teams can:

  • Create work items
    Automatically capture errors when configured alert conditions are met.
  • Track reported issues
    Link Sentry errors to new or existing work items.
  • Sync resolution states
    Resolve or reopen linked issues from either Sentry or Plane using configured state mappings.

Investigate incidents with Datadog

With a configured Datadog MCP connection, Plane AI and agents can access observability data to support incident investigations.

  • Review logs
    Retrieve application logs and error details.
  • Investigate failures
    Look for patterns, affected services, and possible causes.
  • Document findings
    Add investigation summaries and recommended next steps to Plane work items.

For example, a Sentry alert can create a work item for failed checkouts. An agent with Datadog access can examine the relevant logs and report what it observed, what it suspects, and what engineering should investigate next.

Keep development activity tied to work items

Engineers work in their repositories, while product managers and other stakeholders track delivery in Plane. Connecting the two keeps development progress visible without requiring engineers to manually update work items after every change.

Synchronize issues with GitHub and GitLab

The GitHub and GitLab integrations let teams manage issues across both platforms.

  • Bring issues into Plane
    Sync selected GitHub or GitLab issues as Plane work items.
  • Keep details updated
    Sync supported properties such as titles, descriptions, states, labels, and comments.
  • Create linked issues
    Send work items from Plane to GitHub or GitLab when bidirectional sync is enabled.
  • Choose the sync direction
    Use one-way synchronization when GitHub or GitLab owns the issue record, or two-way synchronization when changes should flow between both systems.

This means an engineer can continue managing an issue in GitHub while the product team follows its progress alongside other project work in Plane.

Connect pull requests to work items

GitHub, GitLab, and Bitbucket can also connect code changes to the work items they address.

  • Link pull requests
    Reference a Plane work item ID in the pull request title or description.
  • Automate state changes
    Use a bracketed ID, such as [WEB-344], to move the linked work item through configured states as the pull request progresses.
  • Keep states unchanged
    Reference WEB-344 without brackets to link the pull request without enabling state automation.
  • Track development
    Open linked pull requests directly from the work item to review their progress.

For example, an engineer working on a checkout bug opens a pull request in GitHub. As it moves through review and eventually gets merged, Plane updates the linked work item's state based on the configured mappings. The rest of the team can follow progress in Plane without needing separate status updates.

Access Plane from AI and development tools

AI connections in Plane go beyond retrieving information. You can manage project work from a chat, give coding agents the context they need to implement changes, and use information from external tools to support decisions.

Manage Plane work from Claude and ChatGPT

You don't need to open your Plane workspace for every project update. Connect Claude or ChatGPT through Plane's MCP server to find, create, and manage work directly from a conversation.

For example, you can ask:

  • "Find all high-priority bugs that haven't been updated in seven days."
  • "Move the completed work items in Sprint 12 to Done."
  • "Create a Cycle for next week and add the unfinished work from the current Cycle."

The AI client can perform supported actions using your Plane permissions. Changes are reflected in your workspace, so the same project records stay up to date.

Implement engineering work with coding agents

Coding agents like Cursor, Claude Code, and Codex can use Plane work items as implementation briefs, complete with requirements, comments, and relevant project context.

Here's how developers can use them:

  • Share requirements
    Send a work item's context to Cursor, Claude Code, or Codex using Copy as prompt or Open in.
  • Implement changes
    Have the coding agent inspect the repository, write code, and run tests.
  • Review the implementation
    Inspect the proposed changes and prepare a pull request for human review.
  • Track progress
    Link the pull request to the original work item, with configured Git integrations updating its state as development progresses.

For example, an engineer can send the checkout bug's requirements and comments to Codex to implement the fix and run tests. The engineer reviews the changes before opening a pull request, keeping the implementation connected to the work item in Plane.

We explore this workflow further in How modern teams run agentic workflows in Plane.

Connect Plane AI to external tools through MCP

MCP connectors let Plane AI access information and perform supported actions in external applications.

Teams can use these connections to:

  • Investigate issues
    Examine errors in Sentry alongside repository activity in GitHub.
  • Understand customer needs
    Review conversations from Intercom and product usage from PostHog.
  • Assess release readiness
    Bring together development activity, production errors, and project progress before deciding what to ship.

Before a checkout release, a product manager can ask Plane AI to review recent payment errors in Sentry and identify open pull requests in GitHub. Together with the unfinished work items in Plane, this gives them more context to assess what needs attention before shipping.

Connections are authenticated per user and enabled for individual conversations. Plane Agents can also use configured MCP tools to carry out assigned workflows.

Build the connections Plane doesn't ship

Not every organization relies entirely on off-the-shelf tools. Plane's developer platform lets teams connect internal applications, automate work, and build integrations for their own workflows.

Create and manage work through the REST API

The REST API lets external systems interact directly with Plane. Teams can:

  • Create work items
    Send support escalations, internal requests, or other records into Plane.
  • Update work
    Change states, priorities, assignees, and other supported properties.
  • Retrieve information
    Access project and work item details from internal applications.

Send updates to other systems through webhooks

Webhooks notify external applications when subscribed events occur in Plane.

  • Track changes
    Receive notifications when work items are created or updated.
  • Trigger workflows
    Use those events to update records or initiate actions in other systems.
  • Filter events
    Subscribe to relevant events and apply supported filters.

For example, an internal support system can create an engineering work item through the API. When the fix is completed, Plane sends a webhook notification that the support system can use to update its ticket.

Build with SDKs and custom apps

Plane's Node.js and Python SDKs simplify API-based development. For more extensive integrations, teams can also build custom apps using APIs, webhooks, and OAuth authentication.

Where to start with Plane integrations

Start with a workflow your team already uses, especially one that requires switching applications or manually transferring updates.

Workflow
Tools
First thing to try

Incoming requests

Slack, Microsoft Teams

Create a work item from a conversation.

Production issues

Sentry, Datadog

Create work item from an alert and investigate logs.

Development tracking

GitHub, GitLab, Bitbucket

Link a pull request and automate state changes.

Managing work from LLMs

Claude, ChatGPT

Update a work item without opening Plane.

Put your existing tools to work in Plane

Start with a project your team is already working on. Connect Slack to capture incoming requests, link GitHub pull requests to the corresponding work items, and follow development progress in Plane.

You'll see how conversations, ownership, and delivery stay connected without asking your team to change the tools they use every day.

Try Plane with your existing tools.

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