AI Skill Hub 推荐使用:SignNow电子签名MCP服务 是一款优质的MCP工具。AI 综合评分 7.8 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
SignNow官方MCP服务器,为AI智能体提供电子签名工作流、文档模板、嵌入式编辑器等能力。适合需要集成电子签名功能的开发者、企业应用和文档处理系统。
SignNow电子签名MCP服务 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
SignNow官方MCP服务器,为AI智能体提供电子签名工作流、文档模板、嵌入式编辑器等能力。适合需要集成电子签名功能的开发者、企业应用和文档处理系统。
SignNow电子签名MCP服务 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/signnow/sn-mcp-server
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"signnow----mcp--": {
"command": "npx",
"args": ["-y", "sn-mcp-server"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 SignNow电子签名MCP服务 执行以下任务... Claude: [自动调用 SignNow电子签名MCP服务 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"signnow____mcp__": {
"command": "npx",
"args": ["-y", "sn-mcp-server"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<details> <summary><h1>About SignNow API</h1></summary>
The SignNow REST API empowers users to deliver a seamless eSignature experience for signers, preparers, and senders. Pre-fill documents, create embedded branded workflows for multiple signers, request payments, and track signature status in real-time. Ensure signing is simple, secure, and intuitive on any device.
What you can do with the SignNow API:
</details>
---
---
https://mcp-server.signnow.com/mcp instead of running it locally.```
SIGNNOW_TOKEN=<access_token>
pip install langchain-openai langchain-mcp-adapters # for LangChain example pip install llama-index-tools-mcp # for LlamaIndex example pip install smolagents # for SmolAgents example
```bash
```bash
pip install signnow-mcp-server
pip install -e .
```bash
docker build -t sn-mcp-server .
```bash
The examples/ directory contains working examples of how to integrate the SignNow MCP Server with popular AI agent frameworks:
langchain-mcp-adaptersllama-index-tools-mcpEach example demonstrates how to: - Start the MCP server as a subprocess - Convert MCP tools to framework-specific tool formats - Create agents that can use SignNow functionality - Handle environment variable configuration
To run an example: ```bash
python examples/langchain/langchain_example.py python examples/llamaindex/llamaindex_example.py python examples/smolagents/stdio_demo.py ```
---
Explore ready-to-use sample apps to quickly test preparing, signing, and sending documents from your software using the SignNow API.
Try the sample apps.
git clone https://github.com/signnow/sn-mcp-server.git cd sn-mcp-server cp .env.example .env
Copy .env.example → .env and fill in values. All settings are validated via pydantic-settings at startup.
1) Username / Password (recommended for desktop dev flows)
SIGNNOW_USER_EMAIL=<email>
SIGNNOW_PASSWORD=<password>
SIGNNOW_API_BASIC_TOKEN=<base64 basic token>
2) OAuth 2.0 (for hosted/advanced scenarios)
``` SIGNNOW_CLIENT_ID=<client_id> SIGNNOW_CLIENT_SECRET=<client_secret>
```
When running via some desktop clients, only user/password may be supported.
```
SIGNNOW_APP_BASE=https://app.signnow.com SIGNNOW_API_BASE=https://api.signnow.com
Find technical details on SignNow API requests, parameters, code examples, and possible errors. Learn more about the API functionality in detailed guides and use cases.
Read the API documentation.
Connect your AI to access API docs, generate code for complex signing workflows, and troubleshoot integration errors automatically. Access the API Helper MCP
---
Create .vscode/mcp.json / .cursor/mcp.json in your workspace:
STDIO (local):
{
"servers": {
"signnow": {
"command": "sn-mcp",
"args": ["serve"],
"env": {
"SIGNNOW_USER_EMAIL": "${env:SIGNNOW_USER_EMAIL}",
"SIGNNOW_PASSWORD": "${env:SIGNNOW_PASSWORD}",
"SIGNNOW_API_BASIC_TOKEN": "${env:SIGNNOW_API_BASIC_TOKEN}"
}
}
}
}
STDIO (uvx — no local install):
{
"servers": {
"signnow": {
"command": "uvx",
"args": ["--from", "signnow-mcp-server", "sn-mcp", "serve"],
"env": {
"SIGNNOW_USER_EMAIL": "${env:SIGNNOW_USER_EMAIL}",
"SIGNNOW_PASSWORD": "${env:SIGNNOW_PASSWORD}",
"SIGNNOW_API_BASIC_TOKEN": "${env:SIGNNOW_API_BASIC_TOKEN}"
}
}
}
}
HTTP (remote or Docker):
{
"servers": {
"signnow": {
"type": "http",
"url": "http://localhost:8000/mcp"
}
}
}
Then open Chat → Agent mode, enable the signnow tools, and use them in prompts.
Note: The same configuration applies in Cursor — add it under MCP settings (STDIO or HTTP). For STDIO, you can also use uvx as shown above.
examples/ in this repo for starter integrations.---
正式官方工具,专注电子签名MCP集成。核心功能完整,适合需要签署能力的企业级应用。维护度和专业度较好。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,SignNow电子签名MCP服务 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | sn-mcp-server |
| 原始描述 | 开源MCP工具:Official SignNow MCP server for AI agents. Access e-signature workflows, templat。⭐6 · Python |
| Topics | 电子签名文档签署MCP服务AI工具集成工作流自动化 |
| GitHub | https://github.com/signnow/sn-mcp-server |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-21 · 更新时间:2026-05-22 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端