agentor
projectother official build verified dockerfile by the hub scannedio.github.celestoai/agentor · v
Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.
run it
on your own machines, one way per deploy methodverified 2026-10-17 · r-20261017T125451Z-cdbe2b01f240
The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p5), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
# once, as root:
docker build -t mcp-local/agentor:cbc309171a20f79ca5783b79929652768aee0f38 -f - https://github.com/CelestoAI/agentor.git#cbc309171a20f79ca5783b79929652768aee0f38 <<'DOCKERFILE'
FROM python:3.12.8-slim
WORKDIR /app
COPY . .
RUN pip install .
RUN useradd --create-home app
USER app
EXPOSE 8000
CMD ["python", "-c", "from agentor.mcp.server import LiteMCP; server = LiteMCP(); server.serve(host='0.0.0.0', port=8000, enable_cors=False)"]
DOCKERFILE
#!/usr/bin/env bash
# agentor (io.github.celestoai/agentor), recipe docker (worker, verified 2026-10-17 on v, run r-20261017T125451Z-cdbe2b01f240).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-agentor.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec docker run --rm --name mcp-my-agent-agentor -p 127.0.0.1:${PORT}:8000 --env-file /etc/mcp/my-agent.env mcp-local/agentor:cbc309171a20f79ca5783b79929652768aee0f38
[Unit]
Description=MCP server agentor (toolset my-agent), generated by Hub
After=network-online.target docker.service
Wants=network-online.target
[Service]
Type=simple
User=mcp
Group=mcp
SupplementaryGroups=docker
EnvironmentFile=/etc/mcp/my-agent.env
Environment=HOME=/var/lib/mcp/agentor
WorkingDirectory=/var/lib/mcp/agentor
ExecStart=/opt/mcp/my-agent/bin/agentor.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/agentor
[Install]
WantedBy=multi-user.target
verified 2026-10-17 · r-20261017T125451Z-cdbe2b01f240
The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p5), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
docker build -t agentor -f - https://github.com/CelestoAI/agentor.git#cbc309171a20f79ca5783b79929652768aee0f38 <<'DOCKERFILE' FROM python:3.12.8-slim WORKDIR /app COPY . . RUN pip install . RUN useradd --create-home app USER app EXPOSE 8000 CMD ["python", "-c", "from agentor.mcp.server import LiteMCP; server = LiteMCP(); server.serve(host='0.0.0.0', port=8000, enable_cors=False)"] DOCKERFILE docker run --rm -p 127.0.0.1:8101:8000 agentor
verified 2026-10-17 · r-20261017T125451Z-cdbe2b01f240
The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p5), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
# Generated by Hub for toolset "my-agent" (2026-10-18T03:14:05+00:00).
# Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
# cp .env.example .env # fill the ${VAR}s
# docker compose up -d && bash smoke.sh
# Remote servers are not here: clients reach them directly (see clients/).
name: mcp-my-agent
services:
agentor:
build:
context: https://github.com/CelestoAI/agentor.git#cbc309171a20f79ca5783b79929652768aee0f38
dockerfile_inline: |
FROM python:3.12.8-slim
WORKDIR /app
COPY . .
RUN pip install .
RUN useradd --create-home app
USER app
EXPOSE 8000
CMD ["python", "-c", "from agentor.mcp.server import LiteMCP; server = LiteMCP(); server.serve(host='0.0.0.0', port=8000, enable_cors=False)"]
x-dockerfile: written by the hub (hub-llm:hub-coder@p5), checked by hub-llm:gpt-oss:120b@r2, not taken
from the repository
ports:
- 127.0.0.1:8101:8000
restart: unless-stopped
volumes:
npm-cache: {}
uv-cache: {}
verified 2026-10-17 · r-20261017T125451Z-cdbe2b01f240
The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p5), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
# Generated by Hub for toolset "my-agent" (2026-10-18T03:14:05+00:00).
# kubectl create namespace mcp
# kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
# kubectl apply -f kubernetes.yaml
# Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
# with auth in front before exposing any of them.
apiVersion: v1
kind: Namespace
metadata:
name: mcp
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: agentor
namespace: mcp
labels: &id001
app: agentor
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: agentor
image: CHANGE_ME
ports:
- containerPort: 8000
name: http
env: []
---
apiVersion: v1
kind: Service
metadata:
name: agentor
namespace: mcp
spec:
selector:
app: agentor
ports:
- port: 8000
targetPort: http
name: http
dockerfile
FROM python:3.12.8-slim WORKDIR /app COPY . . RUN pip install . RUN useradd --create-home app USER app EXPOSE 8000 CMD ["python", "-c", "from agentor.mcp.server import LiteMCP; server = LiteMCP(); server.serve(host='0.0.0.0', port=8000, enable_cors=False)"]
verified 2026-10-17 · r-20261017T125451Z-cdbe2b01f240
The repository has no Dockerfile that builds here: this build uses one the hub wrote (hub-llm:hub-coder@p5), which its worker built and ran, checked by hub-llm:gpt-oss:120b@r2.
# Generated by Hub for toolset "my-agent" (2026-10-18T03:14:05+00:00).
# Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
# Each server under `servers` is one Deployment + Service; the keys after it configure
# upstream charts a worker verified.
servers:
agentor:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: agentor
image: CHANGE_ME
ports:
- containerPort: 8000
name: http
env: []
# helm install my-agent helm/my-agent -n mcp
dockerfile
FROM python:3.12.8-slim WORKDIR /app COPY . . RUN pip install . RUN useradd --create-home app USER app EXPOSE 8000 CMD ["python", "-c", "from agentor.mcp.server import LiteMCP; server = LiteMCP(); server.serve(host='0.0.0.0', port=8000, enable_cors=False)"]
Scanned github.com/celestoai/agentor at cbc309171a20 with [email protected][email protected] on 2026-10-17 before the build: 1 dependencies, 8 known vulnerabilities (4 high, 1 medium, 3 low), nothing in the code that looks malicious.
connect to it
copy what your client needs{
"mcpServers": {
"agentor": {
"command": "CHANGE_ME",
"args": []
}
}
}
#!/usr/bin/env bash # Registers every server with Claude Code (run once; `claude mcp list` to check). set -euo pipefail set -a; [ -f .env ] && source .env; set +a claude mcp add agentor -- CHANGE_ME
{
"mcpServers": {
"agentor": {
"command": "CHANGE_ME",
"args": []
}
}
}
{
"servers": {
"agentor": {
"type": "stdio",
"command": "CHANGE_ME",
"args": []
}
}
}
name: my-agent target: local servers: - hub: io.github.celestoai/agentor
- not probed yet: tools unpinned, ingest lists them
- no tested recipe for target 'local' yet: build it from https://github.com/CelestoAI/agentor by hand, or wait for the worker
tools
Probe result: okThe hub could not list this entry; it is retried on the next probe run.
runs · 2
the latest tests of this entry by the hub and its workers, newest first| date | worker | method | status | sandbox | reason |
|---|---|---|---|---|---|
| 2026-10-17 12:54 | local-mac-vm | dockermcp 2025-11-25 | ok | gvisor | — |
| 2026-10-17 12:33 | local-mac-vm | docker | failed | gvisor | docker: sandbox: docker build: ERROR: failed to build: failed to solve: failed to read dockerfile: open Dockerfile: no such file or directory |