mcp-server-motherduck
mcpkey · packageio.github.motherduckdb/mcp-server-motherduck · v1.1.0
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run it
on your own machines, one way per deploy methodgenerated from the record, not tested yet
# once, as root:
# as_mcp DIR COMMAND...: runs COMMAND as the mcp user in DIR, its home, sandboxed as the
# units are: a package's install scripts can write to DIR only, as the server later can
as_mcp() {
local dir="$1"; shift
systemd-run --quiet --wait --pipe --collect --uid=mcp --gid=mcp \
-p WorkingDirectory="$dir" -p Environment=HOME="$dir" -p ReadWritePaths="$dir" \
-p NoNewPrivileges=true -p ProtectSystem=strict -p ProtectHome=true -p PrivateTmp=true \
-- "$@" </dev/null
}
install -d -m 0750 -o mcp -g mcp /var/lib/mcp/motherduck
# motherduck: its packages, installed whole before its unit starts (no session installs)
systemctl stop mcp-my-agent-motherduck.service 2>/dev/null || true
as_mcp /var/lib/mcp/motherduck uv tool install mcp-server-motherduck==1.1.0
as_mcp /var/lib/mcp/motherduck uv tool install mcp-proxy
#!/usr/bin/env bash
# motherduck (io.github.motherduckdb/mcp-server-motherduck), recipe baremetal (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-motherduck.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec uvx mcp-proxy --host 127.0.0.1 --port 8101 --pass-environment -- uvx mcp-server-motherduck==1.1.0
[Unit]
Description=MCP server motherduck (toolset my-agent), generated by Hub
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=mcp
Group=mcp
EnvironmentFile=/etc/mcp/my-agent.env
Environment=HOME=/var/lib/mcp/motherduck
WorkingDirectory=/var/lib/mcp/motherduck
ExecStart=/opt/mcp/my-agent/bin/motherduck.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/motherduck
[Install]
WantedBy=multi-user.target
generated from the record, not tested yet
docker run --rm -p 127.0.0.1:8101:8000 -e motherduck_token -e MOTHERDUCK_TOKEN -e HOME -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN -e AWS_DEFAULT_REGION -e AWS_ENDPOINT ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-server-motherduck==1.1.0'
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-19T00:50:34+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:
motherduck:
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
command:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-server-motherduck==1.1.0
ports:
- 127.0.0.1:8101:8000
volumes:
- uv-cache:/root/.cache/uv
healthcheck:
test:
- CMD
- python3
- -c
- import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/status')
interval: 30s
timeout: 5s
retries: 5
start_period: 2m
restart: unless-stopped
environment:
motherduck_token: ${motherduck_token}
MOTHERDUCK_TOKEN: ${MOTHERDUCK_TOKEN}
HOME: ${HOME}
AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
AWS_SESSION_TOKEN: ${AWS_SESSION_TOKEN}
AWS_DEFAULT_REGION: ${AWS_DEFAULT_REGION}
AWS_ENDPOINT: ${AWS_ENDPOINT}
volumes:
npm-cache: {}
uv-cache: {}
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-19T00:50:34+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: motherduck
namespace: mcp
labels: &id001
app: motherduck
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: motherduck
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
ports:
- containerPort: 8000
name: http
env:
- name: motherduck_token
valueFrom:
secretKeyRef:
name: mcp-credentials
key: motherduck_token
- name: MOTHERDUCK_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MOTHERDUCK_TOKEN
- name: HOME
valueFrom:
secretKeyRef:
name: mcp-credentials
key: HOME
- name: AWS_ACCESS_KEY_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_ACCESS_KEY_ID
- name: AWS_SECRET_ACCESS_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_SECRET_ACCESS_KEY
- name: AWS_SESSION_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_SESSION_TOKEN
- name: AWS_DEFAULT_REGION
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_DEFAULT_REGION
- name: AWS_ENDPOINT
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_ENDPOINT
args:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-server-motherduck==1.1.0
readinessProbe:
httpGet:
path: /status
port: http
initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
name: motherduck
namespace: mcp
spec:
selector:
app: motherduck
ports:
- port: 8000
targetPort: http
name: http
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-19T00:50:34+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:
motherduck:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: motherduck
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
ports:
- containerPort: 8000
name: http
env:
- name: motherduck_token
valueFrom:
secretKeyRef:
name: mcp-credentials
key: motherduck_token
- name: MOTHERDUCK_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MOTHERDUCK_TOKEN
- name: HOME
valueFrom:
secretKeyRef:
name: mcp-credentials
key: HOME
- name: AWS_ACCESS_KEY_ID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_ACCESS_KEY_ID
- name: AWS_SECRET_ACCESS_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_SECRET_ACCESS_KEY
- name: AWS_SESSION_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_SESSION_TOKEN
- name: AWS_DEFAULT_REGION
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_DEFAULT_REGION
- name: AWS_ENDPOINT
valueFrom:
secretKeyRef:
name: mcp-credentials
key: AWS_ENDPOINT
args:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx mcp-server-motherduck==1.1.0
readinessProbe:
httpGet:
path: /status
port: http
initialDelaySeconds: 10
# helm install my-agent helm/my-agent -n mcp
in the cloud
one click: the provider's deploy form opens filled in, in your own account- koyeb
-
The form opens with CHANGE_ME for each value you supply: motherduck_token, MOTHERDUCK_TOKEN, HOME, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AWS_DEFAULT_REGION, AWS_ENDPOINT. Fill them in before you deploy.
Clients connect to the service's https://…koyeb.app address plus /mcp.
- azure
-
A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The portal asks for each value you supply as a secure parameter; the deployment's outputs list the endpoints.
connect to it
copy what your client needsuvx mcp-server-motherduck==1.1.0 # env: motherduck_token, MOTHERDUCK_TOKEN, HOME, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AWS_DEFAULT_REGION, AWS_ENDPOINT
{
"mcpServers": {
"motherduck": {
"command": "uvx",
"args": [
"mcp-server-motherduck==1.1.0"
],
"env": {
"motherduck_token": "${motherduck_token}",
"MOTHERDUCK_TOKEN": "${MOTHERDUCK_TOKEN}",
"HOME": "${HOME}",
"AWS_ACCESS_KEY_ID": "${AWS_ACCESS_KEY_ID}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AWS_SESSION_TOKEN": "${AWS_SESSION_TOKEN}",
"AWS_DEFAULT_REGION": "${AWS_DEFAULT_REGION}",
"AWS_ENDPOINT": "${AWS_ENDPOINT}"
}
}
}
}
#!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add motherduck -e "motherduck_token=${motherduck_token}" -e "MOTHERDUCK_TOKEN=${MOTHERDUCK_TOKEN}" -e "HOME=${HOME}" -e "AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}" -e "AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}" -e "AWS_SESSION_TOKEN=${AWS_SESSION_TOKEN}" -e "AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION}" -e "AWS_ENDPOINT=${AWS_ENDPOINT}" -- uvx mcp-server-motherduck==1.1.0
{
"mcpServers": {
"motherduck": {
"command": "uvx",
"args": [
"mcp-server-motherduck==1.1.0"
],
"env": {
"motherduck_token": "${motherduck_token}",
"MOTHERDUCK_TOKEN": "${MOTHERDUCK_TOKEN}",
"HOME": "${HOME}",
"AWS_ACCESS_KEY_ID": "${AWS_ACCESS_KEY_ID}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AWS_SESSION_TOKEN": "${AWS_SESSION_TOKEN}",
"AWS_DEFAULT_REGION": "${AWS_DEFAULT_REGION}",
"AWS_ENDPOINT": "${AWS_ENDPOINT}"
}
}
}
}
{
"servers": {
"motherduck": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-server-motherduck==1.1.0"
],
"env": {
"motherduck_token": "${motherduck_token}",
"MOTHERDUCK_TOKEN": "${MOTHERDUCK_TOKEN}",
"HOME": "${HOME}",
"AWS_ACCESS_KEY_ID": "${AWS_ACCESS_KEY_ID}",
"AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}",
"AWS_SESSION_TOKEN": "${AWS_SESSION_TOKEN}",
"AWS_DEFAULT_REGION": "${AWS_DEFAULT_REGION}",
"AWS_ENDPOINT": "${AWS_ENDPOINT}"
}
}
}
}
name: my-agent target: local servers: - hub: io.github.motherduckdb/mcp-server-motherduck
- not probed yet: tools unpinned, ingest lists them
tools
Probe result: needs authdocker: credentials=placeholder: the container exited: | Exception Group Traceback (most recent call last): | …lbus-hub-worker-placeholder/.cache/uv/archive-v0/Vu-si0SJYizbOoOWkl1wT/lib/python3.12/site-packages/anyio/_backends/_asyncio.py", line 847, in __aexit__ | raise BaseExceptionGroup( | ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception) +-+---------------- 1 ---------------- | Traceback (most recent call last): | File "/<secret>/.cache/uv/archive-v0/Vu-si0SJYizbOoOWkl1wT/lib/python3.12/site-packages/mcp_proxy/mcp_server.py", line 194, in run_mcp_server | proxy = await create_proxy_server(session) | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | File "/<secret>/.cache/uv/archive-v0/Vu-si0SJYizbOoOWkl1wT/lib/python3.12/site-packages/mcp_proxy/proxy_server.py", line 19, in create_proxy_server | response = await remote_app.initialize() | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | File "/<secret>/.cache/uv/archive-v0/Vu-si0SJYizbOoOWkl1wT/lib/python3.12/site-packages/mcp/client/session.py", line 183, in initialize | result = await self.send_request( | ^^^^^^^^^^^^^^^^^^^^^^^^ | File "/<secret>/.cache/uv/archive-v0/Vu-si0SJYizbOoOWkl1wT/lib/python3.12/site-packages/mcp/shared/session.py", line 306, in send_request | raise McpError(response_or_error.error) | mcp.shared.exceptions.McpError: Connection closed +------------------------------------; baremetal: same crash as docker
runs · 1
the latest tests of this entry by the hub and its workers, newest first| date | worker | method | status | sandbox | reason |
|---|---|---|---|---|---|
| 2026-10-18 19:49 | local-mac-vm | docker | needs auth | gvisor | docker: credentials=placeholder: the container exited: | Exception Group Traceback (most recent call last): | …lbus-hub-worker-placeholder/.cache/uv/archive-v0/… |