mcp-server-esign
mcp-server-esign
Documentation
e签宝 MCP 工具
基于 Model Context Protocol (MCP) 的 e签宝电子签署工具,支持文件上传、签署流程创建、签署状态查询等功能。
功能特点
- 支持多种文件格式上传和自动转换为 PDF(支持本地文件路径和远程文件下载链接):
- PDF 文件(.pdf)
- Word 文件(.docx, .doc, .rtf)
- Excel 文件(.xlsx, .xls)
- PowerPoint 文件(.pptx, .ppt)
- WPS 文件(.wps, .et, .dps)
- 图片文件(.jpeg, .jpg, .png, .bmp, .tiff, .tif, .gif)
- HTML 文件(.html, .htm)
- 自动文件状态检查,确保文件处理完成
- 支持创建签署流程
- 支持查询签署流程详情
- 完整的日志记录
配置
在 MCP 配置中添加以下环境变量:
{
"esign-mcp": {
"command": "npx",
"args": ["-y", "mcp-server-esign@{version}"],
"env": {
"HOST": "选择对应环境:",
" - 测试环境:",
" - 沙箱环境:",
" - 正式环境:https://openapi.esign.cn",
"APP_ID": "你的应用ID",
"APP_SECRET": "你的应用密钥"
}
}
}可用工具
1. create_sign_flow
创建签署流程,支持多种文件格式。
参数:
- `filePath`: 本地文件路径
- `fileName`: 文件名(必须包含正确的文件扩展名)
- `receiverPhone`: 签署人手机号
示例:
{
"filePath": "/path/to/contract.pdf",
"fileName": "合同.pdf",
"receiverPhone": "138****8000"
}2. query_sign_flow
查询签署流程详情。
参数:
- `flowId`: 签署流程ID
示例:
{
"flowId": "12345678"
}日志
日志文件位置:`/tmp/app.log`
日志包含以下信息:
- 文件上传记录
- 文件状态查询记录
- 错误信息
注意事项
1. 文件大小限制:
2. 文件名要求:
3. 环境说明:
错误处理
工具会自动处理常见错误情况:
- 文件格式不支持
- 文件上传失败
- 文件转换失败
- 签署流程创建失败
所有错误都会记录在日志文件中,并返回详细的错误信息。
License
MIT
相关链接
Frequently asked questions
What is mcp-server-esign?
mcp-server-esign is mcp-server-esign
How do I install mcp-server-esign?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is mcp-server-esign open source?
Yes — it is hosted on GitHub at https://github.com/esign-cn-open-source/mcp-server-esign.
Related MCP tools
An MCP server that installs other MCP servers for you JavaScript-based implementation. Trusted by 1400+ developers. Trusted by 1400+ developers.
MCP server for interacting with the iOS simulator JavaScript-based implementation. Trusted by 1200+ developers. Trusted by 1200+ developers.
A Model Context Protocol server that provides read-only access to MySQL databases. This server enables LLMs to inspect database schemas and execute read-only...
This is an MCP server that allows you to directly download transcripts of YouTube videos. JavaScript-based implementation.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others. Built for the Model Context Protocol to enhance AI capabiliti
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP