GitHub PR MCP Server
GitHub PR MCP 서버
GitHub 풀 리퀘스트를 분석하기 위해 TypeScript로 구축된 MCP(Model Context Protocol) 서버입니다.
필수 조건
Related MCP server: Drone CI MCP Server
설치
Smithery를 통해 설치
Smithery를 통해 Claude Desktop에 GitHub PR MCP 서버를 자동으로 설치하려면:
지엑스피1
수동 설치
저장소를 복제합니다.
git clone https://github.com/gourav221b/Github-PR-MCP-server.git프로젝트 디렉토리로 이동합니다.
cd Github-PR-MCP-server종속성 설치:
npm install프로젝트를 빌드하세요:
npm run buildMCP 클라이언트 구성에 경로를 추가합니다.
command: node args: path/to/build/index.js
프로젝트 구조
src/: TypeScript 소스 코드가 포함되어 있습니다.build/: 컴파일된 JavaScript 파일을 보관합니다.package.json: 프로젝트 종속성과 스크립트를 나열합니다.tsconfig.json: TypeScript 구성 파일.
스크립트
npm run build: TypeScript 파일을 JavaScript로 컴파일합니다.npm start: 컴파일된 JavaScript 서버를 실행합니다.
기여하다
기여를 환영합니다! 저장소를 포크하고 변경 사항을 담은 풀 리퀘스트를 생성해 주세요.
특허
이 프로젝트는 MIT 라이선스에 따라 라이선스가 부여되었습니다.
Available Tools
1 toolget-pull-request-dataC
Get detailed information about a GitHub Pull Request including files, diff, comments, and reviews
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | GitHub repository owner | |
| pullNumber | Yes | Pull request number | |
| repo | Yes | GitHub repository name | |
| token | No | GitHub personal access token (optional) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions what data is retrieved but fails to describe critical behaviors such as authentication requirements (though the token parameter is optional in the schema), rate limits, error handling, or response format. For a tool with no annotations, this leaves the agent with insufficient operational context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core action and details without waste. Every word earns its place by specifying the resource and the scope of information retrieved, making it highly concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of retrieving detailed PR data and the lack of annotations and output schema, the description is incomplete. It does not cover behavioral aspects like authentication, rate limits, or response structure, which are crucial for an agent to use the tool effectively. The description alone is insufficient for safe and informed tool invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so the schema already documents all parameters (owner, repo, pullNumber, token). The description does not add any meaning beyond what the schema provides, such as explaining parameter interactions or constraints. Baseline 3 is appropriate as the schema handles parameter documentation adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('detailed information about a GitHub Pull Request'), and specifies what information is included ('files, diff, comments, and reviews'). It distinguishes the scope of data retrieved, though without sibling tools, differentiation isn't applicable. The purpose is specific and actionable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or context for invocation. It lacks any mention of when-not-to-use scenarios or comparisons to other tools, which is a significant gap despite the absence of sibling tools. Usage is implied by the name and description but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
get-pull-request-data
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as retrieving detailed pull request data, making it distinct by default.
The single tool name follows a clear verb_noun pattern ('get-pull-request-data'), which is consistent within this minimal set. There are no other tools to compare against, so no inconsistency can arise.
A server named 'GitHub PR MCP Server' implies a focus on pull requests, but having only one tool is too few for this domain. It lacks essential operations like creating, updating, merging, or listing pull requests, making it severely limited in scope.
The tool surface is severely incomplete for a GitHub PR server. It only provides read access to pull request data, missing core functionalities such as creating, updating, commenting on, or merging pull requests, which are critical for typical workflows.
Maintenance
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Ship production-ready TypeScript code in half the time, at half the cost.
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