accform-layout-mcp
Local MCP server and CLI for Access layout files, rendered to SVG without Microsoft Access. Enables visual verification of form/report layout changes.
README
accform-layout-mcp
Local MCP server and CLI for Access layout files (*.bas, SaveAsText), rendered
to SVG without Microsoft Access. This lets you visually verify form/report
layout changes directly.
Features
- MCP tools:
render_form,render_form_svg,list_forms - CLI:
accform-clifor single-file and batch rendering - Default output under
rendered/YYYY-MM-DD/ - Optional PNG export via
cairosvg
Installation
Install from repository
python -m venv .venv
.venv\Scripts\activate
pip install .
Optional PNG support:
pip install ".[png]"
Start the MCP server
After installation:
accform-layout-mcp
Alternative (directly from repository):
python server.py
Use the CLI
Render a single file:
accform-cli path/to/F_Contract.bas
Render multiple files in one run:
accform-cli forms/F_Contract.bas forms/F_Customer.bas
Use a custom output directory:
accform-cli forms/F_Contract.bas -o out/svg
Generate optional PNG output:
accform-cli forms/F_Contract.bas --png
Show all options:
accform-cli --help
MCP in VS Code Copilot (Agent Mode)
Example for .vscode/mcp.json:
{
"servers": {
"accform-layout": {
"type": "stdio",
"command": "python",
"args": ["${workspaceFolder}/server.py"],
"env": {
"ACCFORM_SRC_ROOT": "${workspaceFolder}"
}
}
}
}
ACCFORM_SRC_ROOT limits file discovery to your project folder.
Tool behavior
render_form(form, scale_mode="Universal")- renders SVG to
rendered/YYYY-MM-DD/... - returns the path to the generated file
- renders SVG to
render_form_svg(form, scale_mode="Universal")- returns SVG markup as text
- also writes the same SVG file to disk
list_forms()- lists all detected layout
*.basfiles underACCFORM_SRC_ROOT
- lists all detected layout
What rendering includes
Static rendering includes declarative designer state:
- positions, sizes, captions
- absolute colors
- visible/hidden controls (hidden controls are dimmed)
It does not include runtime VBA behavior, for example:
Form_Loadlogic- dynamic
RecordSource - conditional formatting
- data-driven subforms
Fidelity
Faithfully ported: parse tree, twips-to-pixel conversion, section stacking, painter order, and renderers for Label/TextBox/ComboBox/ListBox/CommandButton/Rectangle/Line, including OLE color conversion.
Reconstructed: CheckBox/OptionButton, Image, Tab, Subform, OptionGroup, placeholder rendering, and theme color references.
Development
Install dependencies from requirements.txt:
pip install -r requirements.txt
License
MIT. See LICENSE.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。