BoldSign MCP Server

What does “BoldSign” MCP Server do?

The BoldSign MCP Server is a Model Context Protocol (MCP) server designed to bridge Large Language Models (LLMs) with the BoldSign API, enabling AI-powered agents to seamlessly interact with electronic signature workflows. By connecting LLMs to the BoldSign API, the server allows for automated management of templates and documents, facilitating e-signature operations directly through agentic AI interfaces. This integration empowers developers and end-users to perform actions such as document preparation, signing, and status tracking using natural language and AI workflows, enhancing automation, reducing manual intervention, and streamlining digital document signing processes across various applications and platforms.

List of Prompts

No prompt templates are mentioned or described in the provided documentation and repository content.

List of Resources

No explicit MCP resources are mentioned or described in the provided documentation and repository content.

List of Tools

No explicit tool list or tool descriptions are provided in the repository documentation or code listings. The README states the MCP server “contains various tools that interact with the BoldSign API to manage templates and documents for your e-signature,” but no further tool breakdown is given.

Use Cases of this MCP Server

• E-signature Workflow Automation
  Automate end-to-end e-signature workflows, allowing LLMs to create, send, and manage signature requests directly through the BoldSign API, thus reducing manual work for legal, HR, and sales teams.

• Template Management
  Enable AI agents to interact with BoldSign templates, streamlining the process of preparing reusable document templates and ensuring consistency across contracts and agreements.

• Status Tracking and Notifications
  Use AI to monitor the status of signature requests and send timely notifications to stakeholders, ensuring that signed documents are received and processed without delay.

• Integration with Developer Tools
  Integrate BoldSign API actions into development environments (e.g., Cursor, Windsurf), letting developers trigger document workflows as part of their coding or project management tasks.

How to set it up

Windsurf

1. Prerequisites: Ensure you have Node.js (v18.0.0+) and a BoldSign account with an API key.
2. Locate Configuration: Open your Windsurf MCP configuration file.
3. Add MCP Server: Insert the following JSON snippet:

   {
     "mcpServers": {
       "boldsign": {
         "command": "npx",
         "args": ["-y", "@boldsign/mcp"],
         "env": {
           "BOLDSIGN_API_KEY": "{YOUR_BOLDSIGN_API_KEY}",
           "BOLDSIGN_API_REGION": "US"
         }
       }
     }
   }
   

4. Save & Restart: Save the file and restart Windsurf to activate the server.
5. Verify: Confirm that Windsurf recognizes and can connect to the BoldSign MCP server.

Claude

No specific instructions found in the repository for Claude. Use general MCP setup as per client documentation, referencing the Windsurf/VS Code/ Cursor setup above.

Cursor

1. Prerequisites: Ensure Node.js (v18.0.0+) is installed, and you have your BoldSign API key.
2. Configuration File: Edit your global or project-specific ~/.cursor/mcp.json or .cursor/mcp.json.
3. Add MCP Server: Insert:

   {
     "mcpServers": {
       "boldsign": {
         "command": "npx",
         "args": ["-y", "@boldsign/mcp"],
         "env": {
           "BOLDSIGN_API_KEY": "{YOUR_BOLDSIGN_API_KEY}",
           "BOLDSIGN_API_REGION": "US"
         }
       }
     }
   }
   

4. Save & Restart: Save the configuration and restart Cursor.
5. Verify: Check if the server is listed and operational.

Cline

No specific instructions found in the repository for Cline. Use general MCP setup as per client documentation, referencing the Windsurf/VS Code/ Cursor setup above.

Securing API Keys using Environment Variables

In all the above configurations, secure your API key by passing it via the env object:

"env": {
  "BOLDSIGN_API_KEY": "{YOUR_BOLDSIGN_API_KEY}",
  "BOLDSIGN_API_REGION": "US"
}

Replace {YOUR_BOLDSIGN_API_KEY} with your actual key. Avoid hardcoding sensitive values in code repositories.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "boldsign": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “boldsign” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The BoldSign MCP Server repository provides a clear overview, robust setup instructions for several platforms, and secure environment configuration. However, the lack of explicit documentation on prompts, tools, and resources limits its immediate usability for developers seeking deep MCP integration. The project is MIT licensed and is relatively new with minimal stars and forks, indicating early adoption. Overall, it is a promising start but would benefit from more detailed MCP-specific documentation.

MCP Score

Rating: 4/10
The project meets basic requirements (overview, setup, license), but lacks detail on tools, prompts, and resources, which are essential for a full-featured MCP server.