SignNow API Helper MCP
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SignNow API Helper MCPHow to create a signature request in Python?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SignNow API Helper MCP
An MCP server for SignNow API helper tools (stdio only).
mcp-name: io.github.signnow/sn-api-helper-mcp
Purpose & Capabilities
The SignNow API Helper MCP server is a custom Model Context Protocol server designed specifically to assist with SignNow API integration. It acts as an intelligent assistant that understands the SignNow API ecosystem to provide contextual help for developers.
Core Functions:
API Documentation Access: Retrieve and display SignNow API documentation, endpoints, and parameters.
Code Examples: Generate and provide sample code for common SignNow API operations.
Authentication Help: Assist with SignNow API authentication methods and token management.
Integration Guidance: Provide best practices for implementing SignNow e-signature workflows.
Error Resolution: Help troubleshoot common SignNow API issues and error codes.
Use Cases:
Document Signing Workflows: Help implement complex signing processes with multiple signers.
API Integration: Generate code for uploading documents, creating signature requests, and tracking status.
Development Support: Provide real-time assistance during SignNow API development.
Best Practices: Ensure proper implementation of SignNow security and compliance requirements.
Related MCP server: SignNow MCP Server
📦 Installation
To install locally for development:
pip install -e .
🚀 Run
You can run the server using Python or uvx:
Method 1: Python modulepython -m sn_api_helper_mcp serve
Method 2: Installed CLI entry pointsn-api-helper-mcp serve
Method 3: UVX uvx sn-api-helper-mcp
🔌 Integrations & Setup
You can use this server with any MCP client. Below are the configurations for the most popular IDEs and apps.
1. Claude Desktop
To use SignNow tools directly inside the Claude app:
Open your config file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Add the following to the
mcpServersobject:
{
"mcpServers": {
"signnow-api-helper": {
"command": "uvx",
"args": [
"sn-api-helper-mcp"
]
}
}
}Restart Claude Desktop.
2. Cursor AI
Cursor supports MCP natively.
Open Cursor Settings (
Cmd/Ctrl + ,).Go to Features > MCP Servers.
Click + Add New MCP Server.
Add the following to the
mcpServersobject:
{
"mcpServers": {
"signnow-api-helper": {
"command": "uvx",
"args": ["sn-api-helper-mcp"]
}
}
}3. Visual Studio Code (via Cline)
VS Code uses the Cline extension (or similar MCP clients) to interact with MCP servers.
Install the Cline extension from the VS Code Marketplace.
Open Cline settings (click the gear icon inside the Cline chat window) -> MCP Servers.
Add the configuration JSON:
{
"signnow-api-helper": {
"command": "uvx",
"args": [
"sn-api-helper-mcp"
]
}
}✨ Features
Transport: stdio only
Available Tools:
get_signnow_api_info- Fetching API reference documentation.
Available Tools
1 toolget_signnow_api_infoB
Get information about SignNow API. This is documentation for API usage.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Query string to search for API information (e.g., 'free form invite') |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It indicates the tool is for looking up documentation (implying read-only), but it does not describe return format, pagination, rate limits, or any other behavioral traits. The description is too thin to be transparent.
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 two short sentences, front-loaded with the primary action and resource. Every sentence contributes meaningful context, with no redundancy or filler. It is appropriately concise for a simple lookup tool.
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 low complexity (one parameter) and the presence of an output schema, the description need not explain return values. However, it lacks any detail about what kind of API information can be queried or how the documentation is structured. It is minimally complete but leaves room for clarification.
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%, with the 'query' parameter already described as 'Query string to search for API information'. The description adds no additional parameter semantics, but with full schema coverage, the baseline of 3 is appropriate.
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 uses a specific verb ('Get') and resource ('SignNow API'), and clarifies that it provides API usage documentation. It effectively communicates the tool's scope, though it is somewhat broad ('information' could be more specific). No sibling tools exist, so differentiation isn't applicable.
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?
The description implies usage for retrieving API documentation via a query string, but does not provide explicit guidance on when to use it versus alternatives, nor any exclusions or prerequisites. The context is clear but only implied from 'documentation for API usage'.
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.
1 tool update
v0.1.0- First observed
get_signnow_api_info
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusion between tools. The tool clearly describes its purpose of retrieving SignNow API documentation.
The single tool follows a consistent verb_noun naming convention (get_signnow_api_info), which is clear and predictable.
With only one tool serving as documentation, the server feels extremely thin for the stated purpose. A single trivial tool is at the extreme low end of the scale.
The server provides only documentation and no actual API interaction tools, leaving significant gaps for any real SignNow workflow (e.g., document creation, signing, etc.). It is severely incomplete as an API helper.
Maintenance
Resources
Unclaimed servers have limited discoverability.
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