Shinobi runs on your own machine — the client starts it, so there is no endpoint to ping. 66 installs a week from npm. Last commit 5 Nov 2026.
Task spine + searched dead ends + approvals for AI coding agents. One brain, every device.
We read the source, 4 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.
const child = spawn(execPath, [cliPath, 'dispatch', ...dispatchArgs], {
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 shinobi -- npx -y @shinobiapps/shinobi
{
"mcpServers": {
"shinobi": {
"command": "npx",
"args": [
"-y",
"@shinobiapps/shinobi"
]
}
}
}
[mcp_servers.shinobi]
command = "npx"
args = ["-y", "@shinobiapps/shinobi"]
{
"mcpServers": {
"shinobi": {
"command": "npx",
"args": [
"-y",
"@shinobiapps/shinobi"
]
}
}
}
{
"servers": {
"shinobi": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@shinobiapps/shinobi"
]
}
}
}
Task contract, evidence check and done gate for AI coding agents. Read-only, no sign-in.
Shared task layer for AI coding agents. One MCP surface: task_search, task_get, task_mutate.
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
Risk management for trading bots and AI agents: limits, approvals and a stop on every order.
Work management with Spec-Driven Development: tasks, sprints and SDD approvals for coding agents.
Deterministic local cross-service API-chain discovery for AI coding agents.
Prepaid virtual cards for AI agents: one-time cards, spend caps, human approvals.
Memory for coding agents: the decisions, the dead ends, and where the last session stopped.
Answers built from our own checks of this server.