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Python MCP Server Template

Name: Python MCP Server Template
Author: nictuku

by nictuku

Overview Schema Source Related Servers Discussions Admin

Python

py-mcp-сервер-шаблон

Этот репозиторий — шаблон, который поможет вам создать собственные серверы MCP (Model Context Protocol) на Python. Сделайте форк этого репозитория, чтобы начать.

Настройка с УФ

Этот проект использует uv для упаковки Python и управления виртуальной средой. Если у вас не установлен uv , обратитесь к официальному руководству по установке uv .

Клонируйте ваш разветвленный репозиторий:

git clone https://github.com/YOUR_USERNAME/YOUR_REPOSITORY_NAME.git
cd YOUR_REPOSITORY_NAME

Создайте и активируйте виртуальную среду: uv обычно создает каталог .venv в корне вашего проекта.
```
uv venv
source .venv/bin/activate  # On macOS/Linux
# .venv\Scripts\activate   # On Windows
```
Установка зависимостей: этот проект использует pyproject.toml для управления зависимостями.
```
uv pip install .
```
Если вы добавляете новые зависимости, определите их в файле pyproject.toml и снова выполните эту команду. Если по какой-то причине вы используете файл requirements.txt , вы можете установить его с помощью uv pip install -r requirements.txt .

Related MCP server: mcp-framework-starter

Запуск сервера

Скрипт mcp_server.py запускает сервер MCP.

Чтобы запустить сервер напрямую:

uv run python mcp_server.py

Интеграция с Claude Desktop или Cursor

Чтобы использовать этот сервер MCP с приложением вроде Claude Desktop или Cursor, вам нужно настроить его в настройках приложения. Конфигурация обычно включает указание команды для запуска вашего сервера.

Вот пример фрагмента конфигурации. Вам нужно будет заменить /ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME на фактический абсолютный путь к каталогу вашего проекта в вашей системе.

{
    "mcpServers": {
        "my-custom-python-server": {
            "command": "uv",
            "args": [
                "run",
                "--python",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME/.venv/bin/python",
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME/mcp_server.py"
            ],
            "workingDirectory": "/ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME"
        }
    }
}

Пояснение конфигурации:

"my-custom-python-server" : это имя, которое вы даете конфигурации вашего сервера.
"command": "uv" : Указывает uv как команду для выполнения.
"args" : список аргументов для команды uv :
- "run" : сообщает uv о необходимости выполнить команду в управляемой среде.
- "--python" : Указывает интерпретатор Python для использования. Важно указать интерпретатор Python внутри вашей виртуальной среды uv ( .venv/bin/python ).
- "/ABSOLUTE/PATH/TO/PARENT/FOLDER/YOUR_REPOSITORY_NAME/mcp_server.py" : абсолютный путь к скрипту вашего сервера.
"workingDirectory" : указывает рабочий каталог для серверного процесса, который должен быть корневым каталогом вашего проекта.

Важный:

Убедитесь, что пути в args и workingDirectory верны для вашей системы.
Если приложение не может найти uv , вам может потребоваться указать его полный путь в поле "command" . Обычно этот путь можно найти, запустив which uv в терминале на macOS или Linux или where uv на Windows.
По умолчанию сервер прослушивает stdio , как настроено в mcp_server.py ( mcp.run(transport='stdio') ), что обычно и ожидается от таких приложений, как Cursor.

После настройки приложение должно иметь возможность взаимодействовать с вашим сервером Python MCP.

Available Tools

3 tools

get_jokeD

ParametersJSON Schema

Name	Required	Description	Default
No parameters

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_pingD

ParametersJSON Schema

Name	Required	Description	Default
`message`	Yes

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_weatherD

ParametersJSON Schema

Name	Required	Description	Default
`city`	Yes

TDQS

D1/5.0

Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

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.

3 tool updatesAug 18, 2025
- First observedget_joke
- First observedget_ping
- First observedget_weather

Deploy Server

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

D1.8/5.0

Scored 2026-04-18 10:06 across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: get_joke retrieves jokes, get_ping checks server status, and get_weather fetches weather data. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with 'get_' as the prefix, using snake_case throughout. This predictable naming scheme enhances readability and usability for agents.

Tool Count3/5

With only 3 tools, the server feels thin for a general-purpose template, as it lacks depth in any specific domain. While the count is not extreme, it may be insufficient for complex workflows, though it's reasonable for a basic example.

Completeness2/5

The tool set is severely incomplete for a Python MCP server template, as it only includes three unrelated, trivial functions without covering any meaningful domain or lifecycle operations. There are significant gaps that would hinder agent performance in practical scenarios.

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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