The shell around your coding agent: a neuro-symbolic code graph with calibrated trust, via MCP.
The shell around your coding agent: a neuro-symbolic code graph with calibrated trust, via MCP. That is what the m1nd mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Think of it as an X-ray of your repo that your agent can read: one structure that combines everything and says where each thing lives, what that program is for, what is being worked on, what is done and what is still open. That panorama is the thing no other tool hands your agent.
The server ships on npm as @maxkle1nz/m1nd, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by maxkle1nz; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against M1nd's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"m1nd": {
"command": "npx",
"args": ["-y", "@maxkle1nz/m1nd"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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