Chaos Cypher runs on your own machine — the client starts it, so there is no endpoint to ping. 218 installs a week from pypi. Last commit 10 Oct 2026.
Local-first knowledge graphs from your documents: build, search (GraphRAG) and edit on your machine.
We read the source, 5 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.
setup.py: выполняет код при установке пакета
subprocess.run([editor, str(settings_path)], check=True)
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
self.databases_dir = os.path.join(data_root, self.path_settings.databases_subdir)
COPY packages/interface/package*.json packages/interface/.npmrc ./
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 chaoscypher -- uvx chaoscypher-cli
{
"mcpServers": {
"chaoscypher": {
"args": [
"chaoscypher-cli"
],
"command": "uvx"
}
}
}
[mcp_servers.chaoscypher]
command = "uvx"
args = ["chaoscypher-cli"]
{
"mcpServers": {
"chaoscypher": {
"args": [
"chaoscypher-cli"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"chaoscypher": {
"args": [
"chaoscypher-cli"
],
"command": "uvx"
}
}
}
Search one ClearMakes agent's knowledge: your documents, website pages and Drive files.
Local-first RAG MCP server: hybrid search over a folder of your own documents
Local-first document management and semantic search for AI coding agents
Hybrid search over your local documents, with file and page citations. One binary, fully local.
No-API-key web search, page fetching and document reading across many engines. Local-first.
Build a RAG pipeline station by station and search your own documents with cited answers.
Search your Mac's files by name and by text inside documents. Local index, Korean-aware.
Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.
Answers built from our own checks of this server.