@kazuph/mcp-github-pera1
Pera1용 GitHub MCP 서버
GitHub 코드를 Claude.ai에 연결하는 모델 컨텍스트 프로토콜 서버입니다. 이 서버는 Pera1 서비스를 활용하여 GitHub 저장소에서 코드를 추출하고 Claude에 더 나은 컨텍스트를 제공합니다.
설정
MCP 구성 파일( ~/Library/Application Support/Claude/claude_desktop_config.json )에 다음을 추가합니다.
지엑스피1
이제 Claude에게 GitHub 코드 저장소에 대해 물어볼 수 있습니다.
매개변수
url: GitHub 저장소 URL (필수)dir: 디렉토리 경로로 파일 필터링(쉼표로 구분)ext: 확장자별로 파일 필터링(쉼표로 구분)mode: 표시 모드(예:tree디렉토리 구조와 README 파일만 표시)branch: 가져올 브랜치를 지정합니다.file: 검색할 단일 파일을 지정합니다.
사용 예
클로드에게 다음과 같은 질문을 할 수 있습니다.
Tell me about the implementation of GitHub repository https://github.com/username/repository특정 디렉토리의 경우:
Explain the components in https://github.com/username/repository?dir=src/components특정 파일의 경우:
Show me the Button component from https://github.com/username/repository?file=src/components/Button.tsxREADME 파일이 있는 디렉토리 구조의 경우:
Show me the structure of https://github.com/username/repository?mode=tree특정 지점의 경우:
Analyze the develop branch of https://github.com/username/repository?branch=develop특허
MIT
작가
카즈프( https://x.com/kazuph )
Available Tools
1 toolgithub_get_codeA
Retrieves code from a GitHub repository URL and combines it into a single file. The URL must start with "https://".
Query Parameters:
dir: Filter files by directory paths (comma-separated) Example: ?dir=src/components,tests/unit
ext: Filter files by extensions (comma-separated) Example: ?ext=ts,tsx,js
mode: Display mode Example: ?mode=tree (Shows directory structure and README files only)
branch: Specify the branch to fetch from (optional) Example: ?branch=feature/new-feature
file: Specify a single file to retrieve (optional) Example: ?file=src/components/Button.tsx
Examples:
For GitHub tree URLs with branch: https://github.com/kazuph/pera1/tree/feature/great-branch This URL will be automatically parsed to extract the branch information.
For specific directory in a branch: url: https://github.com/modelcontextprotocol/servers dir: src/fetch branch: develop
For a single file: url: https://github.com/username/repository file: src/components/Button.tsx
For directory structure with README files only: url: https://github.com/username/repository mode: tree
The tool will correctly parse the repository structure and fetch the files from the specified branch.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| dir | No | ||
| ext | No | ||
| mode | No | ||
| branch | No | ||
| file | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool retrieves and combines code, parses repository structure, and auto-extracts branch from tree URLs. Given no annotations, it covers key behaviors but does not mention rate limits or error handling.
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 well-structured with sections for parameters and examples, and the first sentence clearly states the purpose. It is somewhat lengthy but all content is informative.
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 no annotations or output schema, the description covers all behaviors: parameter usage, URL parsing, combining files, and example scenarios. It is complete for a read-only code retrieval tool.
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?
Despite 0% schema description coverage, the description thoroughly explains each parameter with formats (e.g., comma-separated for dir/ext) and examples. This fully compensates for the schema's lack of descriptions.
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 tool's verb ('retrieves code') and resource ('GitHub repository URL'), and specifies that it combines content into a single file. There are no sibling tools, so no differentiation needed.
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 detailed query parameters and multiple examples covering different use cases (tree URLs, directories, single file, tree mode). However, it does not explicitly state when to use this tool versus alternatives, though no siblings exist.
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
github_get_code
TDQS
Scored across 1 tool
Only one tool exists, so there is no risk of confusion between tools.
The single tool follows a consistent verb_noun pattern (github_get_code).
A single tool for code retrieval is very minimal; users might expect additional GitHub operations, making the server feel incomplete.
For the stated purpose of retrieving code from a GitHub repository, the tool covers key needs with filtering by directory, extension, branch, and single file, as well as a tree mode. Minor gap: no support for private repos or authentication details in the description.
Maintenance
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