Understand Quickly runs on your own machine — the client starts it, so there is no endpoint to ping. 32 installs a week from npm. Last commit 17 Sep 2026.
Public registry of code-knowledge graphs for AI agents with schema validation and drift detection.
We read the source, 20 h ago · rules 3dff92dd89df
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.
этот файл ставится пользователю, но в репозитории его нет
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.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add understand-quickly -- npx -y @looptech-ai/understand-quickly-mcp
{
"mcpServers": {
"understand-quickly": {
"args": [
"-y",
"@looptech-ai/understand-quickly-mcp"
],
"command": "npx"
}
}
}
[mcp_servers.understand-quickly]
command = "npx"
args = ["-y", "@looptech-ai/understand-quickly-mcp"]
{
"mcpServers": {
"understand-quickly": {
"args": [
"-y",
"@looptech-ai/understand-quickly-mcp"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"understand-quickly": {
"args": [
"-y",
"@looptech-ai/understand-quickly-mcp"
],
"command": "npx"
}
}
}
Graph-powered code intelligence with semantic search and knowledge graph for AI assistants
AI-powered code indexer with semantic search and knowledge graphs
Agent runtime with typed memory, knowledge and code graphs, plus file and web tools
Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs.
Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
AI code impact analysis — dependency graphs, cascade detection, and build gates for AI agents
Code knowledge graph over MCP: token-budgeted context for AI coding agents.
Persistent code knowledge graph + 9 composite MCP tools for AI coding agents.
Answers built from our own checks of this server.