An MCP server that exposes GroupDocs.Metadata functionality to AI agents for reading and removing document metadata. It works with documents in a configured storage folder and can save cleaned files after metadata removal.
From the registry: MCP server for GroupDocs.Metadata — read and remove document metadata via AI agents.
Please install the `groupdocs-metadata-mcp` MCP server into my current AI client (that's you).
Optional prerequisites:
- .NET 10 SDK — Install the .NET 10 SDK to run the server via the recommended dnx method or as a global dotnet tool. (https://dotnet.microsoft.com/download/dotnet/10.0'}],)
Canonical MCP server config (stdio transport):
- command: `dnx`
- args: ["GroupDocs.Metadata.Mcp@26.4.3","--yes"]
- optional environment variables:
- `GROUPDOCS_MCP_STORAGE_PATH`: Base folder for input and output files. Defaults to the current directory if not set. (example: `<your-documents-folder>`)
- `GROUPDOCS_MCP_OUTPUT_PATH`: Optional separate folder for output files. Defaults to GROUPDOCS_MCP_STORAGE_PATH if not set. (example: `<your-output-folder>`)
- `GROUPDOCS_LICENSE_PATH`: Path to a GroupDocs license file. If not set, the server runs in evaluation mode. (example: `<your-license-file-path>`)
Note: README also documents alternative launch methods via a global dotnet tool and Docker, but the recommended and most portable configuration is running directly with dnx.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.GROUPDOCS_LICENSE_PATHrequiredPath to the GroupDocs license fileGROUPDOCS_MCP_STORAGE_PATHrequiredBase folder for input and output filesAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.