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Thin MCP stdio client for ModelBrain, a local memory layer for AI assistants that runs on your own computer.
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查看完整 README ↗A thin MCP stdio client for ModelBrain: the private memory layer for AI assistants: one memory for every assistant you use, kept on your own computer.
This package does not install or bundle ModelBrain. It connects to the ModelBrain desktop app already running on your machine.
The launcher still starts and answers the MCP handshake, so your client shows the server and its tools instead of a start-up failure. Every tool call then returns one plain result: ModelBrain is not installed, and where to get it. Nothing is stored or recalled in this state. The same message is printed to standard error.
The tool list it shows comes from bin/tools.json, a copy of what the real server reports. Maintainers refresh it with npm run snapshot-tools on a machine that has ModelBrain installed.
To get the old behaviour, where the launcher exits with status 1 when the app is missing, pass --require-app or set MODELBRAIN_MCP_REQUIRE_APP=1.
ModelBrain's own installed app already ships a binary, mcp_server, that speaks MCP over stdio and talks to the local ModelBrain daemon. This package finds that binary on the current machine and runs it. It exists so ModelBrain can be registered with the MCP Registry and the directories that list from it, with a reviewable package as the distribution target, while the actual engine stays out of this repository.
In ModelBrain's Allow or Block prompt this client shows up as your assistant's name with node as the program (mcp_server.exe on Windows). If you turn on Require client tokens in ModelBrain, mint a token for your assistant with modelbrain_admin setup tokens --mint NAME and put it in your client's env block as MODELBRAIN_CLIENT_TOKEN; the launcher passes it through.
Most MCP clients run a server with npx. Point your client's MCP config at:
{
"mcpServers": {
"modelbrain": {
"command": "npx",
"args": ["-y", "modelbrain-mcp"]
}
}
}
Claude Desktop, Claude Code and Cursor users do not need this: ModelBrain's own app registers itself with those clients directly. See modelbrain.net/docs for the full tool surface (14 tools: remember, recall, list_memories, expand, forget, six partition tools, diagnostics, usage, ping) and the connect guides for other clients.
MIT, for this wrapper package. ModelBrain itself is separate, proprietary software; see modelbrain.net for its own terms.
See SECURITY.md.