MCP Server

GitHub AI Integration

Bring GitHub into your agent workflows to turn AI context into concrete engineering progress across repos and issues.

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Capabilities

86 capabilities

1 / 18

actions_get

Get details about specific GitHub Actions resources. Use this tool to get details about individual workflows, workflow runs, jobs, and artifacts by their unique IDs.

Type: string

actions_list

Tools for listing GitHub Actions resources. Use this tool to list workflows in a repository, or list workflow runs, jobs, and artifacts for a specific workflow or workflow run.

Type: number

actions_run_trigger

Trigger GitHub Actions workflow operations, including running, re-running, cancelling workflow runs, and deleting workflow run logs.

Type: string

add_comment_to_pending_review

Add review comment to the requester's latest pending pull request review. A pending review needs to already exist to call this (check with the user if not sure).

Type: string

add_issue_comment

Add a comment to a specific issue in a GitHub repository. Use this tool to add comments to pull requests as well (in this case pass pull request number as issue_number), but only if user is not asking specifically to add review comments.

Type: string

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Process Automation

Automate complex business processes by connecting multiple tools and services in intelligent workflows.

Task Orchestrator

Coordinate multi-step tasks across systems with error handling and retry logic.

Integration Builder

Connect disparate tools and services to create seamless data flows and integrations.

Workflow Optimizer

Analyze workflow performance and suggest improvements to increase efficiency.

Conditional Logic Engine

Build workflows with smart branching based on data conditions and business rules.

Event-Driven Automation

Create workflows that trigger automatically based on events and conditions.

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Frequently Asked Questions