One `brain.db` gives your agent durable memory across sessions — facts learned, decisions made, entities tracked, and state handed off. No server. No
Brainctl MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. One brain.db gives your agent durable memory across sessions — facts learned, decisions made, entities tracked, and state handed off. No server. No API keys. No LLM calls required.
Once Brainctl is connected, these are the calls the assistant has available:
Method — What it doesInstallation goes through your MCP client rather than a global install: point it at brainctl on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Brainctl's toolset — Method — is a fair guide to whether it matches your workflow. It is maintained by tschonleber; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Brainctl's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Method | What it does |
{
"mcpServers": {
"brainctl": {
"command": "brainctl-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.