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Connect Doco to your AI coding agent via MCP

Doco is collaborative documentation that AI agents can read and write via MCP. One remote MCP endpoint works across compatible clients; the guides below also cover the shared local stdio server.

Choose your MCP client

Claude Code

Connect Claude Code to Doco with one stdio MCP command, or install the Doco plugin to bundle the same 29-tool server with the read → version → protected-write operating skill.

Cursor

Add Doco to Cursor with the public Directory entry or a project/global mcp.json file. Cursor launches the same stdio package and can search, cite, and update Doco documents through the shared 29-tool contract.

Windsurf Cascade

Connect Windsurf Cascade to Doco by adding the stdio package to its MCP settings or raw mcp_config.json. Cascade then discovers Doco's tools for structured, version-protected knowledge work.

Cline

Add Doco to Cline as a project MCP server and keep autoApprove empty. Cline can then retrieve evidence and request protected document writes while the user remains in the approval loop.

Continue

Connect Continue to Doco through its YAML mcpServers configuration, or place compatible JSON inside .continue/mcpServers. The same stdio process gives Continue structured access to Doco knowledge.

Codex CLI

Connect OpenAI Codex CLI to Doco with one MCP command. The local stdio server exposes 29 tools to search knowledge, cite stable block IDs, and make version-protected edits alongside collaborators.

Gemini CLI

Connect Google Gemini CLI to Doco through a local MCP server. Use 29 tools to search and read documents, cite stable block IDs, and request version-protected writes while teammates collaborate in real time.

VS Code Copilot

Connect GitHub Copilot in VS Code agent mode to Doco. Search shared documents, cite stable block IDs, and request version-protected writes while teammates collaborate in real time.