MCP Starter
Стартовый сервер MCP

Хотите создать свой собственный MCP-сервер?
MCP Server Starter предоставляет вам базовую структуру для запуска локальных инструментов с Cursor, Claude и другими, использующими стандарт MCP.
Функции
📡 Гибкая коммуникация
Поддерживает несколько протоколов связи между клиентом и сервером,
stdio: Локальное использованиеStreamable HTTP: удаленное и локальное использованиеsse: Удаленное и локальное использование (устарело)~~
📦 Минимальная настройка — начните работу быстро с базовой реализации сервера.
🤖 Интеграция Cursor AI — включает пример конфигурации
.cursor/mcp.json.⌨️ TypeScript — добавьте безопасность типов в свой проект.
Related MCP server: MCP Server Starter
Тодо
[ ] Добавить возможность публиковать собственные пакеты
[ ] Лучшая поддержка CLI для скаффолдинга
[ ] Предлагает создавать инструменты «на лету»
Начиная
Предпосылки
Использование
Поддерживаемые варианты транспорта
Модель контекстного протокола Поддерживает несколько методов транспортировки.
стдио

Рекомендуется для локальных установок
Поддержка редактора кода
Добавьте фрагменты кода ниже
Курсор:
.cursor/mcp.json
Локальная разработка/тестирование
Используйте это, если вы хотите протестировать свой mcp-сервер локально.
{
"mcpServers": {
"my-starter-mcp-stdio": {
"command": "node",
"args": ["./bin/cli.mjs", "--stdio"]
}
}
}Опубликованный пакет
Используйте это, когда вы опубликовали свой пакет в реестре npm.
{
"mcpServers": {
"my-starter-mcp-stdio": {
"command": "npx",
"args": ["my-mcp-server", "--stdio"]
}
}
}Потоковое HTTP

Важно: потоковый HTTP пока не поддерживается в Cursor
Рекомендовано для использования на удаленном сервере
Важно: в отличие от stdio вам также необходимо запустить сервер с правильным флагом.
Локальная разработка Используйте streamable http -транспорт
Запустите MCP Server. Запустите это в своем терминале.
node ./bin/cli.mjs --http --port 4200Или с инспектором mcp
npm run dev-http
# npm run dev-sse (deprecated)Добавьте это в свою конфигурацию
{
"mcpServers": {
"my-starter-mcp-http": {
"command": "node",
"args": ["./bin/cli.mjs", "--http", "--port", "4001"]
// "args": ["./bin/cli.mjs", "--sse", "--port", "4002"] (or deprecated sse usage)
}
}
}Опубликованный пакет
Используйте это, когда вы опубликовали свой пакет в реестре npm.
Запустите это в своем терминале
npx my-mcp-server --http --port 4200
# npx my-mcp-server --sse --port 4201 (deprecated){
"mcpServers": {
"my-starter-mcp-http": {
"url": "http://localhost:4200/mcp"
// "url": "http://localhost:4201/sse"
}
}
}Используйте инспектор
Используйте команду inspect для отладки вашего сервера mcp


Параметры командной строки
Выбор протокола
Протокол | Описание | Флаги | Примечания |
| Стандартный ввод/вывод | (Никто) | По умолчанию |
| HTTP-REST-ПРОЦЕССОР |
| |
| События, отправленные сервером |
| Устаревший |
Лицензия
Данный проект лицензирован по лицензии MIT — подробности см. в файле LICENSE.
Курсы
Научитесь создавать программное обеспечение с помощью ИИ: instructa.ai
Available Tools
1 tooldoSomethingD
What is the capital of Austria?
| Name | Required | Description | Default |
|---|---|---|---|
| param1 | Yes | The name of the track to search for | |
| param2 | Yes | The name of the track to search for |
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. The description fails to indicate what the tool does, whether it's a read/write operation, any side effects, or response format. It offers no behavioral context beyond the confusing question, leaving the agent with no understanding of the tool's behavior.
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 sentence, but it is not appropriately sized for the tool—it is under-specified and misleading rather than concise. It does not front-load useful information about the tool's purpose, wasting the opportunity to clarify functionality.
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 (2 required parameters, no annotations, no output schema) and the description's complete failure to explain the tool's purpose or behavior, it is inadequate. The description does not compensate for the lack of annotations or output schema, leaving the agent with insufficient information to use the tool correctly.
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?
Schema description coverage is 100%, with both parameters documented as 'The name of the track to search for'. The description adds no parameter information beyond what the schema provides. According to the rules, with high schema coverage (>80%), the baseline is 3 even with no param info in the description.
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 'What is the capital of Austria?' is a question about geography, not a description of what the tool does. It provides no verb indicating an action (e.g., search, retrieve, calculate) and no mention of resources or operations. This is misleading as it suggests a trivia answer rather than tool functionality.
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?
No guidance is provided on when to use this tool. The description does not mention any context, prerequisites, or alternatives. Given the mismatch between the description and input schema (which references track searching), there is no usable information for an agent to determine appropriate usage scenarios.
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. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
doSomething
TDQS
With only one tool, there is no possibility of confusion or overlap between tools. The tool 'doSomething' stands alone with a distinct purpose, making disambiguation trivial.
There is only one tool, so consistency cannot be assessed across multiple tools. The naming 'doSomething' is clear but does not follow a strong pattern, placing it in the middle range.
A single tool is generally too few for most server purposes, as it limits functionality and scope. This feels thin and inadequate for typical MCP server applications.
The server has a single tool that answers a specific trivia question, which is severely incomplete for any meaningful domain. There are obvious gaps, as it lacks any operational coverage or lifecycle management.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.
Related MCP Servers
- -licenseNot gradedqualityNot gradedmaintenanceA streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.12-
- AlicenseCqualityNot gradedmaintenanceA basic structure to build and run local tools that support the Model Context Protocol (MCP) standard, compatible with AI tools like Cursor and Claude.1-
- FlicenseBqualityDmaintenanceA basic starter project for building Model Context Protocol (MCP) servers that enables standardized interactions between AI systems and various data sources through secure, controlled tool implementations.2-
- AlicenseBqualityDmaintenanceA template repository for building Model Context Protocol (MCP) servers that enable LLM clients to interact with custom tools and services through standardized JSON-RPC communication.3MIT
Appeared in Searches
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/instructa/mcp-starter'
If you have feedback or need assistance with the MCP directory API, please join our Discord server