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Cómo conectar SignWell a Gemini — via MCP

Drive SignWell (developer-friendly e-signature) from any AI agent: documents, templates, signature requests, signers. 8 tools, API key + application ID auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MCP connector

SignWell

Drive SignWell (developer-friendly e-signature) from any AI agent: documents, templates, signature requests, signers. 8 tools, API key + application ID auth.

Tools

8

Region

INTL

Category

e-signature

Authentication

API Key

Required env vars

SIGNWELL_API_KEYSIGNWELL_APPLICATION_ID
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the SignWell in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

TL;DR

Drive SignWell (developer-friendly e-signature) from any AI agent: documents, templates, signature requests, signers. 8 tools, API key + application ID auth.

💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → SignWell, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin git clone, sin servidor local.

SignWell + Gemini

Drive SignWell (developer-friendly e-signature) from any AI agent: documents, templates, signature requests, signers. 8 tools, API key + application ID auth.

Requisitos previos

Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:

SIGNWELL_API_KEY, SIGNWELL_APPLICATION_ID

Paso 1 — Obtener credenciales

signwell.com).

Setup:

  1. Sign in to https://app.signwell.com → top-right avatar → API → Create application.
  2. Note the Application ID and API Key.
  3. Set:
    • SIGNWELL_API_KEY = the API key
    • SIGNWELL_APPLICATION_ID = the application ID

Authentication: header X-Api-Key: ${SIGNWELL_API_KEY} + X-Api-Application: ${SIGNWELL_APPLICATION_ID} (both required).

test_mode: every write endpoint accepts test_mode=true to validate without sending real emails or burning credits.

Document workflow: create document from URL/upload → status='Sent' → recipients sign → status='Completed' → download PDF.

…(continued in the in-app connector instructions)

Paso 2 — Instalar el adapter

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Paso 3 — Añadir el conector en Gemini

Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
    }
  }
}
  1. Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
  2. Guarda el archivo y reinicia gemini.
  3. Ejecuta /mcp en la Gemini CLI — SignWell debería aparecer como disponible.
  4. Vertex AI Studio: pasa https://cloud.anythingmcp.com/mcp al array tools de tu petición con el mismo header Bearer.

Herramientas disponibles

ToolWhat it does
signwell_list_documentsList documents with filters
signwell_get_documentFetch a document by ID with recipients + signing status
signwell_create_document_from_urlCreate a document from public file URLs and send for signature
signwell_create_document_from_templateCreate a document from a SignWell template + recipient mapping
signwell_send_reminderSend a reminder email to pending recipients on a document
signwell_cancel_documentCancel a document (no further signing)
signwell_get_document_filesGet URLs of the document's signed files
signwell_list_templatesList templates available on the account

FAQ

¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.

Siguientes pasos

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