Agent Theatre runs on your own machine — the client starts it, so there is no endpoint to ping. 7 457 installs a week from npm. Last commit 2 Nov 2026.
Watch your coding agent work as a film: opens and replays the Agent Theatre stage for a repo.
We read the source, 1 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.
этот файл ставится пользователю, но в репозитории его нет
execFileSync(process.execPath, [gen, join(out, "theatre", "THIRD_PARTY_LICENSES.txt"), web], { stdio: "inherit" });
import { readFileSync, readdirSync } from "node:fs";
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 agent-theatre -- npx -y agent-theatre
{
"mcpServers": {
"agent-theatre": {
"command": "npx",
"args": [
"-y",
"agent-theatre"
]
}
}
}
[mcp_servers.agent-theatre]
command = "npx"
args = ["-y", "agent-theatre"]
{
"mcpServers": {
"agent-theatre": {
"command": "npx",
"args": [
"-y",
"agent-theatre"
]
}
}
}
{
"servers": {
"agent-theatre": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agent-theatre"
]
}
}
}
A local intelligence layer for AI coding agents. Maps your repos, matches the open-source frontier.
Generate and validate a .specs/ bundle for your repo, then hand it to your AI coding agent
Design your site's AI avatar in the ASMI studio; your coding agent ships it into your repo.
Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.
Your code review comments from Reado, the read-first IDE, as context and tools for your agent.
Your coding agent asks Tada to work through a feature in a real browser and gets back a verdict.
Your coding agent scans your pushed code, reads what's worth fixing, fixes it, and rescans.
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
Answers built from our own checks of this server.