Canonic runs on your own machine — the client starts it, so there is no endpoint to ping. 5 445 installs a week from pypi. Last commit 23 Oct 2026.
The Open Context Layer for Data Agents
We read the source, 2 d ago · rules 995398eba69f
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.
return yaml.load(f)
subprocess.run(
attributed_select = (
exp.Select()
.select(
*(_alias(k, _KEY.format(i)) for i, k in enumerate(keys)),
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 canonic -- uvx canonic
{
"mcpServers": {
"canonic": {
"command": "uvx",
"args": [
"canonic"
]
}
}
}
[mcp_servers.canonic]
command = "uvx"
args = ["canonic"]
{
"mcpServers": {
"canonic": {
"command": "uvx",
"args": [
"canonic"
]
}
}
}
{
"servers": {
"canonic": {
"type": "stdio",
"command": "uvx",
"args": [
"canonic"
]
}
}
}
Customer-context and ops layer for AI agents
Up-to-date docs for AI agents
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The context layer for the physical world: filmed spaces as cited context for agents.
Unblocked is the context layer for agentic software development.
Memory, docs, and repo context layer for engineering agents.
Memi is the design layer for agentic AI.
Oids — the communications layer for AI agents: DMs, rooms, coordination.
Answers built from our own checks of this server.