MCP Documentation
Remnus MCP is a Model Context Protocol server built into every Remnus workspace. It lets AI agents — Claude, Cursor, Windsurf, and any MCP-compatible client — read and write your workspace data over a standard HTTP API.
What you can do
- Query pages and databases with full-text search and property filters
- Create and update pages, database rows, and entire databases
- Automate reports, task extraction, and kanban triage with built-in prompts
- Monitor all agent activity through a structured audit log
Endpoint
https://remnus.com/api/mcp
Supports both Streamable HTTP (stateless, one request per call) and SSE (stateful, persistent connection).
Quick start
- Open your workspace → ⋯ menu → Settings → Tokens tab
- Click New Token, choose a name and scope
- Copy the token and configure your AI client — see Getting Started
Documentation
| Getting Started | Token setup, Claude Desktop config, first call |
| Connect Your Editor | Windsurf, Cline, Zed & more — ready configs + OAuth |
| Authentication | Bearer tokens, scopes, rate limits |
| Read Tools | 7 read-only tools |
| Write Tools | 7 write tools |
| Resources | 4 MCP resource templates |
| Prompts | 5 built-in prompt templates |