Oraclaw runs on your own machine — the client starts it, so there is no endpoint to ping. 48 installs a week from npm. Last commit 25 Aug 2026.
Decision intelligence MCP — 17 tools (optimize, simulate, predict, score, graph). Sub-25ms.
We read the source, 19 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.
return new Function(`return ${sanitized}`)();
url: 'https://hooks.slack.com/services/xxx',
resultsList.innerHTML = testResults.map((result, index) => `
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 oraclaw -- npx -y @oraclaw/mcp-server
{
"mcpServers": {
"oraclaw": {
"args": [
"-y",
"@oraclaw/mcp-server"
],
"command": "npx"
}
}
}
[mcp_servers.oraclaw]
command = "npx"
args = ["-y", "@oraclaw/mcp-server"]
{
"mcpServers": {
"oraclaw": {
"args": [
"-y",
"@oraclaw/mcp-server"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"oraclaw": {
"args": [
"-y",
"@oraclaw/mcp-server"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
ORACLAW_API_KEY (Optional API key for premium tools (CMA-ES, LP/MIP solver, graph analytics, risk VaR/CVaR, forecasting, anomaly detection). Free tier (11 tools) works without it.).
The author declared them in the registry entry; get the values from the project itself.
Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty.
Live competitive-game predictions, meta data and decision tools for AI agents.
530 MCP tools across 561 fintech tools: ChainGraph AP2 decisions, execution_hash. Zero PII.
Dev intelligence layer: 7 MCP tools for graph-powered codebase reasoning.
Codebase intelligence MCP — index any repo into a property graph; 26 tools for agents.
Codebase intelligence MCP server — index any repo into a property graph; 26 tools for agents.
Intelligence subscription protocol for AI agents. Scored, filtered AI intelligence signals via MCP.
Dependency graph + 24 MCP tools. Impact analysis, simulation, security, agent coordination
Answers built from our own checks of this server.