Brainy runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 7 Oct 2026.
Shared knowledge base + task queue so Claude, ChatGPT and other agents can work together safely.
We read the source, 4 d ago · rules ccca72095570
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
r = subprocess.run(["git", "-C", root, *args],
p = os.path.join(root, rel)
env = dict(os.environ)
_TG_API = "https://api.telegram.org/bot%s/%s"
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Shared task board and knowledge base for AI coding agents
Shared knowledge base for AI agents. Search and contribute solutions to technical problems.
Connect your team's living knowledge base — docs, data, issues, CRM — to Claude and ChatGPT.
MCP server exposing Dify knowledge base retrieval to Cursor and other MCP clients
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
Search, discover, and contribute to AgentPedia - the knowledge base for AI agents.
Shared memory for Claude, ChatGPT and any MCP client. Read and edit it in Obsidian or the web app.
Search and contribute to a shared knowledge base of AI-discovered problem-solution pairs.
Answers built from our own checks of this server.