
Groupdocs Redaction Mcp
io.github.groupdocs-redaction由 GitHub 账号 groupdocs-redaction 发布v26.9.0更新于 Oct 24, 2026
MCP server for GroupDocs.Redaction — redact text, metadata, annotations, image areas via AI agents.
概览
本地 MCP 服务器,借助 GroupDocs.Redaction 引擎让助手对文档中的文本、元数据、批注和图像区域进行脱敏。
- 可以做什么
- 按正则表达式匹配文档中的文本并脱敏,另存为带后缀的脱敏副本。擦除作者、标题、公司、日期等文档元数据字段。替换或删除批注与评论。用像素坐标以纯色方块遮盖页面上的矩形区域。只读地返回文件类型、页数、大小和每页尺寸等文档信息。
- 适用场景
- 适合在共享文档前由助手清除姓名、评论、元数据或可见区域,也适合在脱敏前先查看文档页数和尺寸。适用于本地处理的合同、报告和审阅流程。
- 运行要求
- 以本地方式运行:通过 dnx 或全局 dotnet 工具,或使用 Docker 镜像;本地运行需要 .NET 10 SDK,Linux 或 macOS 上还需 libgdiplus。用 GROUPDOCS_MCP_STORAGE_PATH 指定输入输出目录,可选 GROUPDOCS_MCP_OUTPUT_PATH。通过 GROUPDOCS_LICENSE_PATH 提供许可证文件,或用 GROUPDOCS_METERED_PUBLIC_KEY 与 GROUPDOCS_METERED_PRIVATE_KEY 启用按量计费以解除评估限制;按量计费模式需要出站网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Groupdocs Redaction Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
GroupDocs.Redaction MCP Server
MCP server that exposes GroupDocs.Redaction as AI-callable tools for Claude, Cursor, GitHub Copilot, and other MCP agents.
[NuGet] [NuGet downloads] [Docker pulls] [MCP Registry] [Integration tests] [License: MIT]
Installation
[Install in VS Code] [Install in VS Code Insiders] [Add to Cursor] [Codex CLI setup] [Windsurf setup]
One-click installs pre-fill every supported setting: edit the placeholder documents folder after install (output defaults to the same folder); an empty GROUPDOCS_LICENSE_PATH runs in evaluation mode - point it at your license to lift limits.
More clients - ready-made configs for Claude Code, Codex CLI, Visual Studio 2022, Cursor, Windsurf, Cline, and JetBrains Rider live in
install/generated/.
Requires .NET 10 SDK.
Run directly with dnx (recommended — no install step):
Pulls the latest stable release on every invocation. To pin to a specific
version (recommended for shared configs and CI), append @<version>:
Or install as a global dotnet tool:
Or run via Docker:
Native prerequisites
The underlying GroupDocs engine uses System.Drawing (GDI+) for image-area
redaction (drawing solid-color boxes over page regions). When you run the server
natively (via dnx or the global dotnet tool) on Linux or macOS, install
the native libgdiplus library first:
Skipping this on Linux/macOS surfaces as DllNotFoundException: libgdiplus in
the tool response. The simplest zero-setup option on Linux/macOS is the
Docker image.
Available MCP Tools
Example prompts
- "Redact all occurrences of 'John Smith' in contract.docx"
- "Remove all metadata from report.pdf before sharing it externally"
- "Delete all comments and annotations from review.docx"
- "Cover the signature area on page 1 of agreement.pdf with a black box from (100,200) to (400,300)"
- "How many pages does confidential.pdf have?"
Licensing
The MCP server itself is MIT; the underlying GroupDocs.Redaction engine requires a license for production use. Without one the server runs in evaluation mode:
- Saved output is watermarked.
- A single server process can open at most 1 document in evaluation mode - each redaction needs a fresh server process.
There are two ways to license the server.
License file — point GROUPDOCS_LICENSE_PATH at your GroupDocs.Total.lic. Works offline.
Metered (pay-per-use) — set both GROUPDOCS_METERED_PUBLIC_KEY and
GROUPDOCS_METERED_PRIVATE_KEY. You are billed for what you actually process, which suits AI
agents well because their usage is bursty and hard to predict up front. If both a metered key pair
and a license file are configured, metered wins and the file is ignored.
Metered mode needs outbound connectivity. Usage is reported to GroupDocs servers, so air-gapped or firewalled deployments must allow that egress — or use a license file instead.
Call the get_license_status tool at any time to see which mode is active, and — under
metered — the consumed quantity and remaining credit.
Keeping the private key out of your config
The metered private key is a secret. MCP client configs are plain files on disk, and a
project-scoped .mcp.json is committed by convention, so prefer, in order:
- Set the variables in your OS environment and leave them out of the config entirely. An
stdio MCP server inherits its client's environment, so this works in every client.
On macOS note that an app launched from Finder does not inherit shell exports — use
launchctl setenv, or launch the client from a terminal. - Reference them indirectly if your client supports it (Claude Code expands
${VAR}; VS Code uses${env:VAR}and${input:...}). - A literal value in a user-scoped config (for example
~/.claude.json) is acceptable for a single developer. - Never commit a literal key in a project-scoped
.mcp.json.
For Docker, forward the values without writing them into any file:
To lift the limits with a license file:
Configuration
Usage with Claude Desktop
To pin to a specific version, replace
"GroupDocs.Redaction.Mcp"with"[email protected]"inargs. Pinning is recommended for shared / committed configs to avoid surprise upgrades.
Usage with VS Code / GitHub Copilot
NuGet.org generates a ready-to-use mcp.json snippet on the package page.
Copy it directly into your .vscode/mcp.json.
Alternatively, add manually to .vscode/mcp.json:
Same pinning rule as above — swap
"GroupDocs.Redaction.Mcp"for"[email protected]"to lock to a specific release.
Usage with Docker Compose
Edit docker/docker-compose.yml to point volumes at your local documents folder.
Documentation & guides
Step-by-step deployment guides and a published-package integration test suite live in the companion repo GroupDocs.Redaction.Mcp.Tests:
- Install from NuGet —
dnx, global tool, pinned vs always-latest - Run via Docker
- Verify on the MCP registry
- Use with Claude Desktop
- Use with VS Code / GitHub Copilot
- Run the integration tests
- Use with Cursor
That repo also exercises every advertised tool against the published NuGet artifact on Linux, macOS, and Windows in CI — so the snippets above are verified end-to-end on every release.
License
MIT — see LICENSE
来源:README.md,提交 5b9c874
工具
0版本历史
1- v26.9.0最新Sep 16, 2026
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