ClickSend MCP Server
Servidor MCP de ClickSend
Un servidor de Protocolo de Contexto de Modelo (MCP) que proporciona mensajería SMS y funciones de llamada de texto a voz (TTS) a través de la API de ClickSend. Este servidor permite a los modelos de IA enviar SMS e iniciar llamadas de voz mediante programación.
Características
Mensajería SMS : envía mensajes SMS a cualquier número de teléfono en todo el mundo
Llamadas de texto a voz : realice llamadas de voz con mensajes de texto a voz personalizables
Limitación de velocidad : protección integrada con límite de 5 acciones por minuto
Validación de entrada : validación integral de números de teléfono y contenido de mensajes
Manejo de errores : mensajes de error detallados y propagación adecuada de errores
Related MCP server: Slack MCP Server
Instalación
Prerrequisitos
Node.js (v16 o superior)
Cuenta de ClickSend con credenciales de API
Cliente compatible con MCP
Configuración
Clonar el repositorio:
git clone https://github.com/J-Gal02/clicksend-mcp.git
cd clicksend-mcpInstalar dependencias:
npm installConstruir el proyecto:
npm run buildConfiguración del cliente MCP
Agregue las siguientes secciones en su archivo cline_mcp_settings.json o claude_desktop_config.json .
Asegúrese de reemplazar el directorio con la ruta correcta a la carpeta de compilación, como se muestra en el siguiente ejemplo, así como el nombre de usuario y la clave API con los suyos.
{
"mcpServers": {
"clicksend": {
"command": "node",
"args": ["/directory/to/build/folder/clicksend-mcp/build/index.js"],
"env": {
"CLICKSEND_USERNAME": "example@droove.net",
"CLICKSEND_API_KEY": "ZZZZZZZZ-YYYY-YYYY-YYYY-XXXXXXXXXXXX"
}
}
}
}Uso
Herramientas disponibles
1. enviar_sms
Envía mensajes SMS a números de teléfono especificados.
Parámetros:
to: Número de teléfono en formato E.164 (por ejemplo, +61423456789)message: Contenido del texto a enviar
Ejemplo:
{
"name": "send_sms",
"arguments": {
"to": "+61423456789",
"message": "Hello from ClickSend MCP!"
}
}2. hacer_llamada_tts
Iniciar llamadas de texto a voz.
Parámetros:
to: Número de teléfono en formato E.164message: Contenido de texto para convertir a vozvoice: tipo de voz ('femenino' o 'masculino', predeterminado 'femenino')
Ejemplo:
{
"name": "make_tts_call",
"arguments": {
"to": "+61423456789",
"message": "This is a Text-to-Speech call from ClickSend MCP",
"voice": "female"
}
}Limitación de velocidad
El servidor implementa un límite de 5 acciones por minuto para evitar abusos. Las solicitudes que superen este límite recibirán una respuesta de error con una sugerencia de retraso de reintento.
Desarrollo
Scripts disponibles
npm run build: compila TypeScript y hace que la salida sea ejecutablenpm run start: Inicia el servidor MCPnpm run dev: ejecuta el compilador de TypeScript en modo de observación
Estructura del proyecto
clicksend-mcp/
├── src/
│ ├── index.ts # Main server implementation
│ ├── client.ts # ClickSend API client
│ └── utils/
│ └── validation.ts # Input validation utilities
├── build/ # Compiled JavaScript output
└── package.json # Project configurationManejo de errores
El servidor proporciona mensajes de error detallados para varios escenarios:
Números de teléfono no válidos
Errores de validación del contenido del mensaje
Límite de velocidad excedido
Errores de autenticación de API
Problemas de conectividad de red
Las respuestas de error incluyen códigos de error apropiados y mensajes descriptivos para ayudar a diagnosticar problemas.
HACER
[ ] Múltiples destinatarios
[ ] Configurar los ID del remitente
[x] SMS
[x] TTS
[ ] Correo electrónico
[ ] Carga de medios
[ ] Archivos adjuntos de correo electrónico
[ ] MMS
[ ] Cartas
[ ] Postales
[ ] Fax
[ ] Cálculo y confirmación de costos
[ ] Estadísticas
[ ] Historia
[ ] Contactos
[ ] Automatizaciones
Licencia
Instituto Tecnológico de Massachusetts (MIT)
Contribuyendo
¡Agradecemos sus contribuciones! No dude en enviar una solicitud de incorporación de cambios.
Available Tools
2 toolsmake_tts_callC
Make Text-to-Speech calls via ClickSend
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | Phone number in E.164 format | |
| message | Yes | Text content to convert to speech | |
| voice | No | Voice type for TTS | female |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Make...calls' implies an action that likely incurs costs and has external effects, the description doesn't mention authentication requirements, rate limits, cost implications, or what happens after the call is made. This leaves significant behavioral gaps.
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 extremely concise at just 5 words, front-loading the essential purpose without any wasted words. Every element earns its place, making it highly efficient for agent comprehension.
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?
For a tool that makes external API calls (likely with cost implications) with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after the call, what success/failure looks like, or any system constraints. The context signals indicate this is a non-trivial operation that needs more complete documentation.
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 description provides no parameter information beyond what's already in the schema. However, with 100% schema description coverage, all parameters are well-documented in the structured fields, establishing a baseline score of 3. The description doesn't add any additional context about parameter usage or relationships.
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 action ('Make Text-to-Speech calls') and the resource/service ('via ClickSend'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from the sibling tool 'send_sms', which would be needed for a perfect score.
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 no guidance on when to use this tool versus alternatives like 'send_sms'. There's no mention of use cases, prerequisites, or contextual factors that would help an agent choose between TTS and SMS options.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
send_smsC
Send SMS messages via ClickSend
| Name | Required | Description | Default |
|---|---|---|---|
| to | Yes | Phone number in E.164 format (e.g. +61423456789) | |
| message | Yes | Message content to send |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. While 'Send SMS messages' implies a write/mutation operation, it doesn't disclose important behavioral traits like authentication requirements, rate limits, cost implications, delivery confirmation, or error handling. The description is minimal and lacks operational context.
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 extremely concise at just 4 words, front-loading the essential information with zero wasted words. Every word earns its place in communicating the core 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?
For a mutation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't address what happens after sending (success/failure responses), doesn't mention the sibling tool relationship, and provides minimal operational context for a tool that presumably has costs, authentication needs, and delivery considerations.
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 ('to' and 'message') well-documented in the schema itself. The description adds no additional parameter information beyond what's already in the structured schema, so it meets the baseline for high schema coverage without adding extra value.
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 action ('Send SMS messages') and the target resource ('via ClickSend'), providing a specific verb+resource combination. However, it doesn't differentiate from the sibling tool 'make_tts_call' which appears to be a different communication method (text-to-speech call).
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 no guidance on when to use this tool versus alternatives. There's no mention of the sibling tool 'make_tts_call' or any contextual factors that would help an agent choose between SMS and TTS communication methods.
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
make_tts_call - First observed
send_sms
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one handles text-to-speech calls and the other handles SMS messaging. There is no overlap in functionality, and an agent can easily differentiate between them based on their names and descriptions.
Both tools follow a consistent verb_noun pattern (make_tts_call and send_sms), using clear action verbs ('make' and 'send') followed by specific nouns. The naming is predictable and readable throughout the set.
With only two tools, the server feels thin for a communications platform like ClickSend, which might be expected to support more operations such as checking SMS status, managing contacts, or handling voice calls. The scope appears limited, potentially causing gaps in agent workflows.
For a ClickSend server, there are significant gaps in coverage: it lacks tools for checking delivery status of SMS or TTS calls, managing contacts, viewing message history, or handling other communication types like email or fax. This incomplete surface will likely lead to agent failures in broader communication tasks.
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