@igorromero/ciphersuite-mcp
ciphersuite-mcp
Un servidor MCP (Model Context Protocol) que proporciona herramientas de cifrado y descifrado AES-256-CBC, recursos que describen cada algoritmo y prompts listos para usar, todo ello ejecutable directamente en VS Code Copilot Chat.
Related MCP server: @erickwendel/ciphersuite-mcp
Qué hace
Capacidad | Nombre | Descripción |
🔧 Herramienta |
| Cifra cualquier mensaje de texto plano con una frase de contraseña |
🔧 Herramienta |
| Descifra un mensaje previamente cifrado con la misma frase de contraseña |
📄 Recurso |
| Devuelve detalles sobre el algoritmo de cifrado, la derivación de la clave y el formato de salida |
📄 Recurso |
| Devuelve cómo usar la herramienta de descifrado: formato esperado, reglas de la frase de contraseña y errores comunes |
💬 Prompt |
| Prompt predefinido que pide al agente que cifre un mensaje |
💬 Prompt |
| Prompt predefinido que pide al agente que descifre un mensaje |
Cómo funciona el cifrado
Algoritmo: AES-256-CBC
Derivación de la clave:
scrypt(passphrase, fixedSalt, 32)— puedes pasar cualquier cadena como frase de contraseña; el servidor deriva automáticamente una clave fuerte de 32 bytesFormato de salida:
<IV in hex>:<ciphertext in hex>— conserva la cadena completa para descifrarla más tardeIV: se genera un IV aleatorio nuevo de 16 bytes en cada llamada de cifrado, por lo que el mismo mensaje cifrado dos veces produce una salida diferente
Requisitos previos
Node.js v24+ (consulta
enginesenpackage.json)
Instalación
npm installNo se necesita ningún paso de compilación: el servidor ejecuta TypeScript directamente mediante el soporte nativo de TypeScript de Node.js.
Uso en VS Code
1. Añadir la configuración del servidor MCP
Crea (o abre) .vscode/mcp.json en tu espacio de trabajo y añade:
{
"servers": {
"ciphersuite-mcp": {
"command": "node",
"args": ["--experimental-strip-types", "ABSOLUTE_PATH_TO_PROJECT/src/index.ts"]
}
}
}o mediante npm:
{
"servers": {
"ciphersuite-mcp": {
"command": "npx",
"args": ["-y", "@igorromero/ciphersuite-mcp"]
}
}
}Consejo: También puedes añadir este servidor a tu configuración de MCP a nivel de usuario en
~/.vscode/mcp.jsonpara que esté disponible en todos los espacios de trabajo.
2. Recargar VS Code
Abre la paleta de comandos (Cmd+Shift+P) y ejecuta Developer: Reload Window (o simplemente reinicia VS Code).
3. Usarlo en Copilot Chat
Abre Copilot Chat (modo agente) y prueba:
Encrypt the message "Hello, World!" using the passphrase "my-secret-key"Decrypt this message: a3f1...:<ciphertext> using the passphrase "my-secret-key"Show me the encryption://info resourceEl agente llamará automáticamente a la herramienta adecuada y devolverá el resultado.
Ejecutar el MCP Inspector
El MCP Inspector te permite explorar y probar todas las herramientas, recursos y prompts de forma interactiva en una interfaz de navegador:
npm run mcp:inspectEsto abre el inspector en http://localhost:5173 y lo conecta al servidor en ejecución.
Ejecutar las pruebas
# Run all tests once
npm test
# Run tests in watch mode (with debugger)
npm run test:devLa suite de pruebas cubre:
Cifrar un mensaje
Descifrar un mensaje con la frase de contraseña correcta
Listar y leer el recurso
encryption://infoObtener ambos prompts
Error: descifrar con la frase de contraseña incorrecta
Error: descifrar un texto cifrado malformado
Estructura del proyecto
src/
index.ts # Entry point — connects the server to stdio transport
mcp.ts # All tools, resources, and prompts are registered here
tests/
mcp.test.tsScripts disponibles
Script | Descripción |
| Inicia el servidor (usado por los clientes MCP) |
| Inicia con observación de archivos e inspector de Node.js |
| Ejecuta todas las pruebas |
| Ejecuta las pruebas en modo de observación |
| Abre la interfaz del MCP Inspector |
Creación desde cero
Esta sección documenta cómo se construyó este servidor MCP paso a paso — algo útil para crear nuevos servidores MCP en el futuro.
Tipos de transporte de MCP
Existen 3 tipos de transporte de MCP:
Tipo | Clase | Descripción |
|
| Se ejecuta localmente en la máquina — el más común para herramientas locales |
| — | Se ejecuta como una API sobre HTTP |
| — | Server-Sent Events — procesa datos bajo demanda (streaming) |
Dependencias
// package.json
"dependencies": {
"@modelcontextprotocol/sdk": "^1.27.1",
"@types/node": "^24.11.0",
"zod": "^3.25.76"
}1. Punto de entrada — src/index.ts
El punto de entrada crea un StdioServerTransport y conecta el servidor MCP a él:
// src/index.ts
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { server } from "./mcp.ts";
async function main() {
const transport = new StdioServerTransport()
await server.connect(transport)
console.error('Encrypt MCP Server running on stdio')
}
main().catch((error) => {
console.error("Fatal error in main():", error);
process.exit(1);
});2. Configuración del servidor — src/mcp.ts
Crea la instancia del servidor MCP con un nombre y una versión:
// src/mcp.ts
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
export const server = new McpServer({
name: '@igorromero/ciphersuite-mcp',
version: '0.0.1'
})3. Registrar herramientas

Las herramientas son funciones que el LLM puede llamar para realizar acciones. Usa server.registerTool, que recibe 3 argumentos:
Nombre de la herramienta (cadena)
Objeto de configuración que contiene:
description— qué hace la herramienta; el LLM usa esto para decidir cuándo llamarlainputSchema— equivalente al cuerpo de la solicitud, definido con ZodoutputSchema— equivalente al cuerpo de la respuesta, definido con Zod
Función de controlador asíncrona — la implementación real
server.registerTool(
'encrypt_message',
{
description: 'Encrypt a message',
inputSchema: {
message: z.string().describe("The message to encrypt"),
encryptionKey: z.string().describe(
"Any passphrase to use for encryption — the server derives a strong key from it automatically"
)
},
outputSchema: {
encryptedMessage: z.string().describe(
"The encrypted message (format: iv:ciphertext)"
)
}
},
async ({ message, encryptionKey }) => {
try {
const encryptedMessage = encrypt(message, encryptionKey)
return {
content: [{ type: "text", text: encryptedMessage }],
structuredContent: { encryptedMessage }
}
} catch (error) {
return {
isError: true,
content: [{
type: 'text',
text: `Failed to encrypt message! Error: ${error instanceof Error ? error.message : String(error)}`
}]
}
}
}
)El mismo patrón se aplica a decrypt_message — solo tienes que intercambiar los campos del esquema de entrada/salida y llamar a decrypt().
4. Registrar recursos

Los recursos proporcionan información estática o calculada que ayuda al LLM a comprender el contexto de una herramienta. Usa server.registerResource, que recibe 4 argumentos:
Nombre del recurso
Plantilla de URI (normalmente igual al nombre)
Objeto de configuración que contiene una
descriptionFunción de controlador que devuelve
contents— un array de objetos conuri,mimeTypeytext
server.registerResource(
'encryption://info',
'encryption://info',
{
description: 'Describes the encryption algorithm, key requirements, and output format used by this server',
},
() => ({
contents: [
{
uri: "encryption://info",
mimeType: "text/plain",
text: `
Algorithm : AES-256-CBC
Key derivation: scrypt (passphrase + fixed server salt → 32-byte key)
Output format: <16-byte IV in hex>:<ciphertext in hex> (separated by ":")
Notes:
- Users pass any passphrase — the server derives a strong 32-byte key automatically using scrypt.
- A random IV is generated for every encryption — the same message encrypted twice will produce different output.
- Use the exact same passphrase to decrypt.
- Keep the full "iv:ciphertext" string to decrypt later.
`.trim(),
},
]
})
)El recurso decryption://info sigue el mismo patrón y describe el formato de entrada esperado, los requisitos de la frase de contraseña y los escenarios de error comunes para la herramienta de descifrado.
5. Registrar prompts

Los prompts son plantillas de mensajes predefinidas que el LLM puede usar para invocar herramientas de forma guiada. Usa server.registerPrompt, que recibe 3 argumentos:
Nombre del prompt
Objeto de configuración que contiene:
description— qué hace el promptargsSchema— los parámetros de entrada, definidos con Zod
Función de controlador que devuelve
messages— un array de objetos conrole(useroassistant) ycontent
server.registerPrompt(
"encrypt_message_prompt",
{
description: "Prompt to encrypt a plain-text message using the encrypt_message tool",
argsSchema: {
message: z.string().describe("The message to encrypt"),
encryptionKey: z.string().describe(
"Any passphrase to use for encryption — the server derives a strong key from it automatically"
)
}
},
({ message, encryptionKey }) => ({
messages: [
{
role: 'user',
content: {
type: "text",
text: `Please encrypt the following message using the encrypt_message tool.\nMessage: ${message}\nEncryption key: ${encryptionKey}`,
}
}
]
})
)El decrypt_message_prompt sigue el mismo patrón — toma encryptedMessage y encryptionKey como argumentos e indica al LLM que llame a decrypt_message.
6. Conexión del servidor MCP a un IDE
VS Code (automático)
Crea .vscode/mcp.json en la raíz del proyecto. VS Code lo detectará automáticamente:
{
"servers": {
"ciphersuite-mcp": {
"command": "node",
"args": [
"--experimental-strip-types",
"src/index.ts"
]
}
}
}Otros IDEs / Otros proyectos
Copia la entrada del servidor ciphersuite-mcp en el archivo de configuración de MCP del proyecto o IDE de destino. El servidor se ejecuta como un subproceso mediante stdio, por lo que cualquier cliente compatible con MCP puede conectarse a él.
Available Tools
2 toolsdecrypt_messageA
Decrypt a message that was encrypted with the encrypt_message tool
| Name | Required | Description | Default |
|---|---|---|---|
| encryptionKey | Yes | The same passphrase used during encryption | |
| encryptedMessage | Yes | The encrypted message (format: iv:ciphertext) |
Output Schema
| Name | Required | Description |
|---|---|---|
| decryptedMessage | Yes | The decrypted plain-text message |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It does not state whether the operation is read-only, has side effects, or what happens on failure (e.g., wrong key). The only behavioral detail is the requirement for the same passphrase, which partially addresses input constraints but not the tool's overall safety profile. This is a significant gap.
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 zero filler. It states the verb, object, and connection to the sibling tool efficiently, making it easy to scan and understand quickly.
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's simplicity, full parameter coverage, and presence of an output schema, the description is mostly complete. It correctly identifies the key requirement and relationship to encrypt_message. However, lacking behavioral disclosure (e.g., error handling, purity) means it is not fully complete for an agent deciding to invoke it safely.
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 coverage is 100%, so each parameter already has a description. The tool description adds minimal semantic value beyond mentioning the key matches encrypt_message, which mirrors what the schema already states. This meets the baseline for full schema coverage but does not provide additional meaning.
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?
States a specific verb ('Decrypt') and resource ('a message'), and explicitly ties it to the encrypt_message tool, which differentiates it from the sibling. It is not a tautology; it names the exact operation and its counterpart.
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?
Clearly implies usage context by referencing encrypt_message, indicating it is the decryption counterpart. However, it does not explicitly state when not to use it or name alternative tools beyond the implicit sibling relationship. This is clear context but lacks explicit exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
encrypt_messageC
Encrypt a message
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | The message to encrypt | |
| encryptionKey | Yes | Any passphrase to use for encryption — the server derives a strong key from it automatically |
Output Schema
| Name | Required | Description |
|---|---|---|
| encryptedMessage | Yes | The encrypted message (format: iv:ciphertext) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden for behavioral disclosure, but it only states the action. It does not mention that encryption is irreversible (without the key), the output format, or any side effects. The schema hints at key derivation, but the description itself adds no behavioral 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 concise and front-loaded, but it essentially restates the tool name without adding operational detail. While not verbose, it doesn't earn its place beyond the name—acceptable but minimal.
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?
Despite an output schema existing, the description is too sparse for an encryption operation. It lacks information about when encryption is appropriate, the nature of the output, or any warnings. The agent is left to infer everything from the schema and sibling naming, which is insufficient for correct invocation in varied contexts.
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% for both parameters, so the schema already documents 'message' and 'encryptionKey' with meaningful descriptions. The tool description adds no extra parameter information, but the baseline is 3 given high schema coverage.
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 ('Encrypt a message') with a specific verb and resource. It implicitly distinguishes from the sibling tool 'decrypt_message' by focusing on encryption, though it doesn't explicitly name the alternative.
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 on when to use this tool versus decrypt_message or any other context. There is no mention of prerequisites, security considerations, or typical use cases.
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
v0.0.1- First observed
decrypt_message - First observed
encrypt_message
TDQS
Scored across 2 tools
The two tools are perfectly distinct: one encrypts, the other decrypts. There is no overlap or potential for confusion between them.
Both tools follow the same verb_noun pattern: encrypt_message and decrypt_message. Naming is consistent and intuitive.
At only 2 tools, the server is minimal, but the domain of encryption/decryption inherently requires exactly these two operations. The count is slightly under the typical 3-15 range but perfectly appropriate for its narrow scope.
The tool surface covers the full encryption/decryption lifecycle with no missing operations. For a cipher suite, encrypt and decrypt are the only necessary functions.
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