A side-by-side look at the Modelbrain MCP and Scrivener MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Modelbrain MCP for knowledge & memory work as a local process; choose Scrivener MCP for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Modelbrain MCP when
You need dedicated capabilities in the Knowledge & Memory domain.
No tool names declared yet. Check the project README from the listing page.
Scrivener MCP tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Modelbrain MCP is categorized under Knowledge & Memory and uses a local stdio subprocess. Scrivener MCP belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Modelbrain MCP for knowledge & memory work and Scrivener MCP for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Modelbrain MCP has no declared pricing — check the project's own site. Auth: no auth required. Scrivener MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add modelbrain-modelbrain-mcp and writerslogic-scrivener-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Modelbrain MCP has a quality signal of 41/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Scrivener MCP has 61/100 (Good) with 18 views, 12 installs and 67 GitHub stars.