Esign Cn Open Source MCP Server – e签宝电子签署工具

The Esign Cn MCP server bridges AI assistants with the e签宝 electronic signing platform, enabling developers to integrate document signing workflows directly into conversational AI applications. By exposing a set of MCP tools, the server allows Claude or similar assistants to upload documents, initiate signing processes, and query their status—all without leaving the chat interface. This eliminates manual interactions with e签宝’s web portal, streamlining contract management and accelerating digital transformation in businesses that rely on rapid, automated approvals.

At its core, the server supports file ingestion and conversion. Users can supply a local path or a remote URL, and the tool automatically converts supported formats—PDF, Word, Excel, PowerPoint, WPS, images, and HTML—to a standardized PDF ready for signing. The conversion layer ensures that the document is in the correct format before it enters the e签宝 workflow, reducing errors and re‑uploads. Once a file is processed, developers can create a signing flow by specifying the recipient’s phone number and the document details. The MCP tool then returns a unique flow ID that can be tracked or queried later.

Key capabilities include:

• Robust file handling: Multi‑format support, automatic PDF conversion, and strict validation of file size (≤50 MB total, ≤20 MB per page) and naming conventions.
• Signing flow management: Create flows, retrieve detailed status reports, and monitor progress through the e签宝 API.
• Comprehensive logging: All uploads, status checks, and errors are written to a central log file (), facilitating audit trails and debugging.
• Error resilience: Built‑in handling for unsupported formats, upload failures, conversion errors, and signing creation issues, with clear error messages returned to the AI client.

In practice, this MCP server is invaluable for scenarios such as contract negotiations, HR onboarding, or legal compliance where documents must be signed quickly and reliably. An AI assistant can draft a contract, upload it to e签宝 via the MCP tool, and then prompt the recipient for signature—all within a single conversation. The assistant can also schedule reminders or automatically trigger follow‑ups if the signing status remains pending, thereby reducing administrative overhead.

Integrating the server into an AI workflow is straightforward: developers configure environment variables for the target e签宝 environment (sandbox, test, or production) and provide their and . The MCP tools (, ) are then available to the assistant, allowing seamless orchestration of document signing within broader business processes. This tight coupling between AI and e签宝 unlocks new levels of automation, improves user experience, and ensures compliance with digital signing regulations.