ONLYOFFICE DocSpace MCP Server

The ONLYOFFICE DocSpace MCP server bridges the gap between AI assistants and enterprise‑grade document management. By exposing DocSpace’s REST API through the Model Context Protocol, it allows LLMs such as Claude to read, write, and manage documents directly within a secure, on‑premises or cloud instance. This eliminates the need for custom integration code and gives developers a single, well‑defined interface to orchestrate document workflows in conversational AI applications.

The server solves the problem of context leakage and data residency that often plague AI tools. Instead of sending raw files to a public model, the MCP server authenticates with DocSpace via an API key and performs all operations inside the protected environment. Developers can therefore keep sensitive corporate documents on their own infrastructure while still leveraging powerful language models to summarize, translate, or generate content. The protocol guarantees that the AI never receives direct file contents; it only sees the context supplied by the server, preserving compliance with data‑privacy regulations.

Key capabilities include:

• Document CRUD – create, read, update, and delete files or folders in DocSpace via simple MCP resources.
• Metadata access – fetch user, group, and permission information to enable role‑based reasoning in AI conversations.
• Content transformation – request document conversions (e.g., DOCX to PDF) and receive URLs for the resulting files.
• Search and indexing – perform keyword searches across the DocSpace repository, returning structured results that can be fed back to the model.

Typical use cases span from AI‑powered help desks that pull policy documents on demand, to collaborative drafting tools where the model suggests edits and automatically updates shared files. In compliance environments, the server can enforce audit trails by logging every API call, ensuring that all AI interactions are traceable and auditable.

Integration into existing AI workflows is straightforward: a client configures the MCP server in its JSON settings, supplies the DocSpace base URL and API key, and then invokes standard MCP actions. The server’s responses are returned as structured JSON, which can be embedded in prompts or used to drive subsequent LLM calls. Because the MCP server is itself a lightweight Node.js application, it can be deployed locally, in Docker, or on any platform that supports the MCP client, giving teams full control over performance and security.