MCP TypeScript Simple Template
Plantilla simple de TypeScript de MCP
Una plantilla sencilla de TypeScript para crear servidores de Protocolo de Contexto de Modelo (MCP). Este proyecto proporciona una base para crear herramientas MCP personalizadas que se pueden integrar con sistemas de IA.
Descripción general
Esta plantilla implementa un servidor MCP básico con una herramienta de cálculo de IMC de ejemplo. Demuestra cómo:
Configurar un servidor MCP en TypeScript
Definir e implementar herramientas MCP con validación de entrada utilizando Zod
Conecte el servidor a la E/S estándar para la comunicación
Related MCP server: MCP Server Python Template
Prerrequisitos
Node.js (se recomienda v20 o superior)
npm o hilo
Instalación
Clonar este repositorio
Instalar dependencias:
npm installEstructura del proyecto
index.ts- Implementación del servidor principal con herramienta de ejemplopackage.json- Dependencias y scripts del proyectotsconfig.json- Configuración de TypeScript
Uso
Construyendo y funcionando
Construya e inicie el servidor:
npm startEsto compilará el código TypeScript e iniciará el servidor MCP.
Desarrollo
Para el desarrollo, puedes:
Modifique
index.tspara agregar sus propias herramientasEjecute el comando de compilación para compilar:
npm run buildCreación de herramientas personalizadas
Para crear una nueva herramienta, siga este patrón en index.ts :
server.tool(
"your-tool-name",
{
// Define input schema using Zod
paramName: z.string(),
// Add more parameters as needed
},
async ({ paramName }) => ({
content: [{
type: "text",
text: "Your tool's response"
}]
})
);Dependencias
@modelcontextprotocol/sdk- SDK principal de MCPzod- Validación de esquemasdotenv- Gestión de variables de entornotypescript- compilador de TypeScript
Licencia
ISC
Contribuyendo
¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.
Available Tools
2 toolscalculate-bmiD
| Name | Required | Description | Default |
|---|---|---|---|
| heightM | Yes | ||
| weightKg | Yes |
TDQS
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.
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.
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.
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.
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.
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.
echoD
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
TDQS
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.
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.
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.
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.
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.
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.
2 tool updates
v1.0.0- First observed
calculate-bmi - First observed
echo
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: calculate_bmi is for health-related calculations, while echo is for text repetition. There is no overlap or ambiguity between them, making it easy for an agent to choose the right tool.
The naming is inconsistent: calculate_bmi uses kebab-case, while echo uses lowercase without a clear pattern. There is no consistent verb_noun convention, and the styles are mixed, though the names are still readable.
With only 2 tools, the server feels too thin for a general-purpose template. It lacks depth and variety, suggesting an incomplete or minimal implementation that doesn't fully cover a meaningful domain.
The server is severely incomplete; it only offers two unrelated tools with no descriptions, making it impossible to assess domain coverage. There are obvious gaps, and it doesn't support any coherent workflow or lifecycle.
Maintenance
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