PR Intent Checker GitHub Action (MCP Server Packaged)

Name: PR Intent Checker GitHub Action (MCP Server Packaged)
Author: kevinjcwu

@kevinjcwu

Repository

About PR Intent Checker GitHub Action (MCP Server Packaged)

PR Intent Checker action with packaged MCP server

Basic information

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is PR Intent Checker GitHub Action (MCP Server Packaged)?

A GitHub Action that uses Azure OpenAI to analyze a PR’s code changes against requirements in a linked GitHub Issue, detecting intent drift. It packages the GitHub MCP server inside the Docker container to interact with the GitHub API.

How to use PR Intent Checker GitHub Action (MCP Server Packaged)?

Add the action to a workflow with the required permissions and inputs (github_token, azure_openai_endpoint, azure_openai_key, azure_openai_deployment). Configure the corresponding secrets in your repository. Link the relevant issue in the PR description using one of the supported keywords (e.g., Closes #<number>).

Key features of PR Intent Checker GitHub Action (MCP Server Packaged)

Packages GitHub MCP server inside Docker.
Analyzes PR diffs using Azure OpenAI.
Compares code changes against linked issue requirements.
Posts AI results as PR comments.
Outputs PASS/FAIL with explanation.

Use cases of PR Intent Checker GitHub Action (MCP Server Packaged)

Verify PR code matches issue requirements before merge.
Catch early intent drift in code changes.
Automate code review for requirement alignment.
Enforce consistency between PRs and project goals.

FAQ from PR Intent Checker GitHub Action (MCP Server Packaged)

How does the action link a PR to an issue?

It scans the PR description for keywords like Closes, Fixes, or Resolves followed by the issue number (e.g., Closes #4). It also checks timeline events for linked issues.

What Azure OpenAI credentials are required?

You must provide three secrets: AZURE_OPENAI_ENDPOINT (your endpoint URL), AZURE_OPENAI_KEY (API key), and AZURE_OPENAI_DEPLOYMENT (the model deployment name).

What permissions does the workflow need?

The workflow requires contents: read, pull-requests: write, and issues: read.

What are the supported issue linking formats?

Formats include Closes #<number>, Closes: #<number>, Fixes #<number>, Fixes: #<number>, Resolves #<number>, Resolves: #<number>, and their past-tense variants (e.g., Closed, Fixed, Resolved). Case is ignored.

How does the action communicate with the GitHub API?

The Python script inside the Docker container communicates with the background MCP server via stdin/stdout using JSON-RPC messages. It does not rely on external libraries like PyGithub.