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Read and write self-hosted Docmost wiki content from MCP AI clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "docmost-mcp-local" yet — see the docs or source repo.
Connect to my Docmost, read the “Product Release Process” page, and summarize the key steps and owners.
A summary of the page content highlighting process steps and responsible owners.
Add a section titled “Common Startup Errors” to the “Local Development Environment Setup” page, with three troubleshooting suggestions.
A new section is written to the target page, updating the wiki content.
Based on the following meeting notes, turn them into a project weekly update and write it to the “Project Progress” page in Docmost: …
A structured weekly update is generated and written to the corresponding Docmost page.
Developers, product managers, or content teams can read self-hosted Docmost pages directly from MCP-capable clients like Claude or Cursor, without manually switching to the wiki interface.
When teams need to add explanations, organize notes, or update process docs, they can let AI write directly into Docmost to reduce copy-paste work and repetitive editing.
Teams using self-hosted Docmost Community Edition can connect document read/write capabilities to local or desktop AI workflows through this MCP server.
It is an MCP server built in Rust for self-hosted Docmost (Community Edition). It enables clients such as Claude, Cursor, and VS to read and write your wiki content.
You need a self-hosted Docmost Community Edition instance and an MCP-capable client environment. For exact setup and connection details, see the source repository.
The provided information only states that it is a local MCP tool and does not include installation steps. Please see the source repository for installation, runtime, and configuration details.
Let AI search, create, edit, and organize Docmost documentation spaces and pages.
Provide AI coding assistants with up-to-date enterprise and developer documentation.
Search and manage technical docs in your IDE with natural language.
Expose local Markdown knowledge to AI tools through MCP securely.
Connect AI to Google Docs for document search, reading, creation, and updates.
Local-first MCP server for web search and developer documentation fetching.