Csoai runs on your own machine — the client starts it, so there is no endpoint to ping. 174 installs a week from pypi.
Signed deterministic AI-governance measurement: EU AI Act cards + agent-callable record verify.
The linked repository no longer exists on GitHub — it was deleted or made private.
We have not read this server's code yet, 2 d 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.
d = json.load(open(os.path.join(A17, f)))
p = subprocess.run([sys.executable, *args], cwd=MONO, env=env,
const server = spawn(process.execPath, [fileURLToPath(new URL("./index.mjs", import.meta.url))], {
vm.runInNewContext(
…pace'},{label:'Try the Council',href:'/try'},{label:'Plans',href:'/pricing'},{label:'Status',href:'/status'}]};</script><script src="https://os.meok.ai/sovereign-embed.js" defer></script>
…AMR fleets with AI-driven navigation and collision avoidance manage goods-to-person picking, automated storage and retrieval (AS/RS), and real-time inventory slotting — improving warehouse throughput by 3x while reducing workplace injuries.</p></div>
env = dict(os.environ, API_HOST=API_HOST)
"0xf90211a0925c3e61b4aab9424482c3f822e507070d23fbe232a6808858afc50163f033e3a06dc4ab6bedc17bdfceb0150fc685a21ab4f285fdaa2962e7cb0519cd81b50fcca05fbef8975bc3812f6164683d9d5f8c5aeec3ed0eff4fddc5b1e09f98c7552f8aa0c1af723ba3f5e873916fa0a89d67e13e0b393568c290b7242ddfbaf3c65067ffa057…
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 csoai -- uvx csoai
{
"mcpServers": {
"csoai": {
"args": [
"csoai"
],
"command": "uvx"
}
}
}
[mcp_servers.csoai]
command = "uvx"
args = ["csoai"]
{
"mcpServers": {
"csoai": {
"args": [
"csoai"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"csoai": {
"args": [
"csoai"
],
"command": "uvx"
}
}
}
Governance layer for agentic AI — signed, verifiable receipts for every agent action.
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
Deterministic AI code review, with an audit record. Governance inside the agent loop.
Deterministic authorization and security guard for AI agent actions with signed receipts.
Deterministic policy enforcement and MCP management for AI agent tool calls.
Deterministic GIS geoprocessing for AI agents, with verifiable provenance on every output
Signed AI measurement (13-axis, deterministic judge). Measurement, not certification; monitored cont
Deterministic signed verification of numeric & financial claims for AI agents & spreadsheets.
Answers built from our own checks of this server.