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BoldSign MCP Server

MCP Server

Enable LLMs to manage e‑signatures via BoldSign API

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Updated Aug 14, 2025

About

The BoldSign MCP Server lets large language models interact with the BoldSign e‑signature platform, enabling template and document management through MCP-compatible clients.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

BoldSign MCP Server – Seamless E‑Signature Integration for AI Assistants

The BoldSign MCP server bridges the gap between large language models and the BoldSign e‑signature platform. By exposing a set of tools that wrap the BoldSign REST API, the server allows an LLM to act as a fully‑functional agent for creating, managing, and sending electronic documents. This eliminates the need for developers to write custom API clients or handle authentication logic, enabling rapid prototyping of document‑centric workflows directly within their favorite MCP‑compatible IDE or chat interface.

At its core, the server provides a collection of high‑level operations: create templates, upload documents, populate fields, and send signatures. Each tool accepts structured input, performs the corresponding BoldSign API call, and returns a concise JSON payload that can be used by subsequent tools or displayed to the user. Because the MCP framework handles serialization, validation, and error reporting, developers can focus on orchestrating business logic rather than plumbing details. The server also respects BoldSign’s regional endpoints, automatically routing requests based on the environment variable.

Key capabilities include:

  • Template Management – Create, list, and delete reusable document templates, simplifying repetitive signing scenarios.
  • Document Handling – Upload PDFs or Word files, attach them to templates, and retrieve generated documents.
  • Field Population – Dynamically fill form fields (text, checkboxes, dates) before sending, ensuring accurate and personalized content.
  • Signature Workflow – Initiate signature requests, monitor status, and retrieve completed documents with minimal code.

These features empower a variety of real‑world use cases. A contract‑management system can let an AI assistant draft agreements, auto‑populate client details, and send them for approval. A legal team can generate court filings on demand, while a sales organization might automate proposal signing and tracking. Because the MCP server handles authentication via an API key, developers can secure credentials in environment variables and keep them out of source code.

Integrating BoldSign into AI workflows is straightforward: an MCP client such as Cursor, VS Code, or Claude Desktop loads the server configuration; the LLM invokes a tool like send_signature with the required parameters; the server communicates with BoldSign, and the assistant returns a confirmation or the signed PDF. This tight coupling means developers can embed e‑signature logic into chat‑based assistants, visual scripting tools, or automated pipelines without writing repetitive boilerplate. The result is a rapid, error‑free path from intent to signed document—an invaluable advantage for any organization that relies on digital signatures at scale.