RepoPilot MCP — это небольшой стартовый каркас сервера Model Context Protocol на Python. Он настроен как отправная точка в производственном стиле для будущих инструментов работы с репозиториями GitHub, но пока не реализует функциональность GitHub API.
структура пакета src/
pyproject.toml с зависимостями, совместимыми с uv
типизированная конфигурация окружения
изолированный клиент GitHub REST API с модульными тестами на моках
конфигурация журналирования процессов
один безвредный MCP-инструмент health для проверок обнаружения
покрытие pytest для конфигурации и поведения загрузки MCP
.env.example, .gitignore, GitHub Actions CI и лицензия MIT
Related MCP server: MCP Server - Placeholder Implementation
Python 3.11+
uv sync --devДля локальной настройки скопируйте .env.example в .env и отредактируйте значения локально. Никогда не коммитьте .env или реальные учетные данные. GITHUB_TOKEN используется внутренним клиентом GitHub REST API и пока не доступен через инструменты MCP.
Запуск тестов:
uv run pytestЗапуск локального набора проверок:
.\scripts\check.ps1Запуск MCP Inspector:
.\scripts\dev-inspector.ps1Запуск сервера напрямую через stdio:
uv run repopilot-mcpsrc/repopilot/
__init__.py
config.py
github_client.py
server.py
tests/
test_github_client.py
test_server.pyРеализовано:
MCP-инструмент health
модель настроек, загружаемая из переменных окружения
переиспользуемый слой клиента GitHub REST API
инициализация журналирования
Не реализовано:
инструменты для репозиториев, файлов, issues или pull request
операции GitHub с поддержкой записи
Return basic server health and safety posture.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
| Name | Required | Description |
|---|---|---|
No output parameters | ||
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 indicates a read-only action ('Return') but says nothing about authentication, rate limits, or what 'safety posture' concretely includes. The disclosure is minimal.
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?
A single, front-loaded sentence with no filler. Every word contributes to conveying the tool's purpose.
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 tool is a simple health check with no parameters and an output schema, the description provides adequate context. The phrase 'safety posture' could be more precise, but the overall scope is clear.
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 tool has zero parameters and schema coverage is 100% (empty). No parameter explanation is needed; the description's simplicity is appropriate for a parameterless interface.
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 identifies the action ('Return') and the resource ('basic server health and safety posture'). It is specific enough to understand the tool's purpose, though the term 'safety posture' is a bit vague. No sibling tools exist, so differentiation is not applicable.
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 does not explicitly state when to use this tool or when to avoid it. The health-check nature implies usage for server status and safety monitoring, but no alternative tools or exclusions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0healthOnly one tool exists, so there is no possibility of ambiguity or overlap between tools.
With a single tool named 'health', the naming is unambiguous and internally consistent.
The server provides only one trivial health-check tool, which is an extreme under-provisioning for a server presumably intended for repository management.
The sole tool only reports health status, leaving no functionality for actual repository operations, making the surface severely incomplete for the stated domain.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Create, deploy, and operate MCP servers directly from your GitHub repositories.
Guarded MCP server for agent-readable business truth, provenance, readiness, and discovery.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/ompatelz/Omi-GithubMCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
