AI Group Markdown to Word MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| markdown_to_docxB | 将Markdown文档转换为Word文档（DOCX格式），支持样式配置、模板系统和多种图像嵌入方式（本地文件、网络图片、Base64编码） |
| create_table_from_csvB | 将CSV数据转换为可用于文档的表格数据 |
| create_table_from_jsonB | 将JSON数组数据转换为可用于文档的表格数据 |
| list_table_stylesB | 获取所有可用的预定义表格样式 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| markdown_to_docx_help | 获取Markdown转Word服务的使用帮助 |
| markdown_to_docx_examples | 获取实用示例和最佳实践 |
| create_document | 引导用户创建新的Word文档 |
| batch_processing_workflow | 指导用户进行批量文档处理 |
| troubleshooting_guide | 常见问题和解决方案 |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| templates-list | 所有可用的预设模板 |
| templates-default | 默认的客户分析模板信息 |
| style-guide | 完整的样式配置文档 |
| converters-supported-formats | 支持的输入和输出格式列表 |
| templates-categories | 按分类组织的模板信息 |
| performance-metrics | 系统性能指标和优化建议 |
| integrations-available | 可与系统集成的外部服务列表 |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: two tools convert different data formats (CSV and JSON) to tables, one lists available styles, and one converts Markdown to DOCX. There is no overlap or ambiguity between these functions, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., create_table_from_csv, markdown_to_docx). The naming is predictable and readable, with no deviations in style or convention across the set.
With 4 tools, this server is well-scoped for its purpose of converting data and Markdown to Word documents. Each tool earns its place by covering distinct aspects of the workflow, avoiding bloat or thinness in functionality.
The tool set covers core operations for the domain: data conversion (CSV/JSON to tables), style management, and Markdown-to-DOCX conversion. A minor gap exists in lacking direct table manipulation or editing tools, but agents can work around this by using the provided tools in sequence.