Banjo
mcpotherio.github.shatch/banjo · v0.1.13
Self-hosted AI assistant that places real phone calls for you: bookings, reservations, errands.
run it
on your own machines, one way per deploy methodgenerated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
#!/usr/bin/env bash
# banjo (io.github.shatch/banjo), recipe docker (generated).
# Generated by Hub for toolset "my-agent"; started by mcp-my-agent-banjo.service.
set -euo pipefail
export HOST=127.0.0.1 PORT=8101
exec docker run --rm --name mcp-my-agent-banjo -p 127.0.0.1:${PORT}:8000 --env-file /etc/mcp/my-agent.env ghcr.io/shatch/banjo:0.1.13
[Unit]
Description=MCP server banjo (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/banjo
WorkingDirectory=/var/lib/mcp/banjo
ExecStart=/opt/mcp/my-agent/bin/banjo.sh
Restart=on-failure
RestartSec=5
NoNewPrivileges=true
ProtectSystem=strict
ProtectHome=true
PrivateTmp=true
ReadWritePaths=/var/lib/mcp/banjo
[Install]
WantedBy=multi-user.target
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
docker run --rm -p 127.0.0.1:8101:8000 -e DATABASE_URL -e MCP_API_KEY -e ASSISTANT_PRINCIPAL_NAME -e PUBLIC_HOSTNAME -e VOICE_AI_PROVIDER -e OPENAI_API_KEY -e TWILIO_ACCOUNT_SID -e TWILIO_AUTH_TOKEN -e TWILIO_PHONE_NUMBER -e NOTIFICATION_CHANNEL ghcr.io/shatch/banjo:0.1.13
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
# Generated by Hub for toolset "my-agent" (2026-10-18T00:50:22+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:
banjo:
image: ghcr.io/shatch/banjo:0.1.13
ports:
- 127.0.0.1:8101:8000
restart: unless-stopped
x-note: 'CHANGE_ME: check the image''s README for its transport and port; this assumes streamable
HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command
instead.'
environment:
DATABASE_URL: ${DATABASE_URL}
MCP_API_KEY: ${MCP_API_KEY}
ASSISTANT_PRINCIPAL_NAME: ${ASSISTANT_PRINCIPAL_NAME}
PUBLIC_HOSTNAME: ${PUBLIC_HOSTNAME}
VOICE_AI_PROVIDER: ${VOICE_AI_PROVIDER}
OPENAI_API_KEY: ${OPENAI_API_KEY}
TWILIO_ACCOUNT_SID: ${TWILIO_ACCOUNT_SID}
TWILIO_AUTH_TOKEN: ${TWILIO_AUTH_TOKEN}
TWILIO_PHONE_NUMBER: ${TWILIO_PHONE_NUMBER}
NOTIFICATION_CHANNEL: ${NOTIFICATION_CHANNEL}
volumes:
npm-cache: {}
uv-cache: {}
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
# Generated by Hub for toolset "my-agent" (2026-10-18T00:50:22+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: banjo
namespace: mcp
labels: &id001
app: banjo
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: banjo
image: ghcr.io/shatch/banjo:0.1.13
ports:
- containerPort: 8000
name: http
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: DATABASE_URL
- name: MCP_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MCP_API_KEY
- name: ASSISTANT_PRINCIPAL_NAME
valueFrom:
secretKeyRef:
name: mcp-credentials
key: ASSISTANT_PRINCIPAL_NAME
- name: PUBLIC_HOSTNAME
valueFrom:
secretKeyRef:
name: mcp-credentials
key: PUBLIC_HOSTNAME
- name: VOICE_AI_PROVIDER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: VOICE_AI_PROVIDER
- name: OPENAI_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: OPENAI_API_KEY
- name: TWILIO_ACCOUNT_SID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: TWILIO_ACCOUNT_SID
- name: TWILIO_AUTH_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: TWILIO_AUTH_TOKEN
- name: TWILIO_PHONE_NUMBER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: TWILIO_PHONE_NUMBER
- name: NOTIFICATION_CHANNEL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: NOTIFICATION_CHANNEL
---
apiVersion: v1
kind: Service
metadata:
name: banjo
namespace: mcp
spec:
selector:
app: banjo
ports:
- port: 8000
targetPort: http
name: http
generated from the record, not tested yet
CHANGE_ME: check the image's README for its transport and port; this assumes streamable HTTP at :8000/mcp. If it speaks stdio only, use it from clients/mcp.json as a `docker run -i` command instead.
# Generated by Hub for toolset "my-agent" (2026-10-18T00:50:22+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:
banjo:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: banjo
image: ghcr.io/shatch/banjo:0.1.13
ports:
- containerPort: 8000
name: http
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: DATABASE_URL
- name: MCP_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: MCP_API_KEY
- name: ASSISTANT_PRINCIPAL_NAME
valueFrom:
secretKeyRef:
name: mcp-credentials
key: ASSISTANT_PRINCIPAL_NAME
- name: PUBLIC_HOSTNAME
valueFrom:
secretKeyRef:
name: mcp-credentials
key: PUBLIC_HOSTNAME
- name: VOICE_AI_PROVIDER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: VOICE_AI_PROVIDER
- name: OPENAI_API_KEY
valueFrom:
secretKeyRef:
name: mcp-credentials
key: OPENAI_API_KEY
- name: TWILIO_ACCOUNT_SID
valueFrom:
secretKeyRef:
name: mcp-credentials
key: TWILIO_ACCOUNT_SID
- name: TWILIO_AUTH_TOKEN
valueFrom:
secretKeyRef:
name: mcp-credentials
key: TWILIO_AUTH_TOKEN
- name: TWILIO_PHONE_NUMBER
valueFrom:
secretKeyRef:
name: mcp-credentials
key: TWILIO_PHONE_NUMBER
- name: NOTIFICATION_CHANNEL
valueFrom:
secretKeyRef:
name: mcp-credentials
key: NOTIFICATION_CHANNEL
# 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: DATABASE_URL, MCP_API_KEY, ASSISTANT_PRINCIPAL_NAME, PUBLIC_HOSTNAME, VOICE_AI_PROVIDER, OPENAI_API_KEY, TWILIO_ACCOUNT_SID, TWILIO_AUTH_TOKEN, TWILIO_PHONE_NUMBER, NOTIFICATION_CHANNEL. 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 needsdocker run -i --rm -e DATABASE_URL -e MCP_API_KEY -e ASSISTANT_PRINCIPAL_NAME -e PUBLIC_HOSTNAME -e VOICE_AI_PROVIDER -e OPENAI_API_KEY -e TWILIO_ACCOUNT_SID -e TWILIO_AUTH_TOKEN -e TWILIO_PHONE_NUMBER -e NOTIFICATION_CHANNEL ghcr.io/shatch/banjo:0.1.13
{
"mcpServers": {
"banjo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABASE_URL",
"-e",
"MCP_API_KEY",
"-e",
"ASSISTANT_PRINCIPAL_NAME",
"-e",
"PUBLIC_HOSTNAME",
"-e",
"VOICE_AI_PROVIDER",
"-e",
"OPENAI_API_KEY",
"-e",
"TWILIO_ACCOUNT_SID",
"-e",
"TWILIO_AUTH_TOKEN",
"-e",
"TWILIO_PHONE_NUMBER",
"-e",
"NOTIFICATION_CHANNEL",
"ghcr.io/shatch/banjo:0.1.13"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}",
"MCP_API_KEY": "${MCP_API_KEY}",
"ASSISTANT_PRINCIPAL_NAME": "${ASSISTANT_PRINCIPAL_NAME}",
"PUBLIC_HOSTNAME": "${PUBLIC_HOSTNAME}",
"VOICE_AI_PROVIDER": "${VOICE_AI_PROVIDER}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"TWILIO_ACCOUNT_SID": "${TWILIO_ACCOUNT_SID}",
"TWILIO_AUTH_TOKEN": "${TWILIO_AUTH_TOKEN}",
"TWILIO_PHONE_NUMBER": "${TWILIO_PHONE_NUMBER}",
"NOTIFICATION_CHANNEL": "${NOTIFICATION_CHANNEL}"
}
}
}
}
#!/usr/bin/env bash
# Registers every server with Claude Code (run once; `claude mcp list` to check).
set -euo pipefail
set -a; [ -f .env ] && source .env; set +a
claude mcp add banjo -e "DATABASE_URL=${DATABASE_URL}" -e "MCP_API_KEY=${MCP_API_KEY}" -e "ASSISTANT_PRINCIPAL_NAME=${ASSISTANT_PRINCIPAL_NAME}" -e "PUBLIC_HOSTNAME=${PUBLIC_HOSTNAME}" -e "VOICE_AI_PROVIDER=${VOICE_AI_PROVIDER}" -e "OPENAI_API_KEY=${OPENAI_API_KEY}" -e "TWILIO_ACCOUNT_SID=${TWILIO_ACCOUNT_SID}" -e "TWILIO_AUTH_TOKEN=${TWILIO_AUTH_TOKEN}" -e "TWILIO_PHONE_NUMBER=${TWILIO_PHONE_NUMBER}" -e "NOTIFICATION_CHANNEL=${NOTIFICATION_CHANNEL}" -- docker run -i --rm -e DATABASE_URL -e MCP_API_KEY -e ASSISTANT_PRINCIPAL_NAME -e PUBLIC_HOSTNAME -e VOICE_AI_PROVIDER -e OPENAI_API_KEY -e TWILIO_ACCOUNT_SID -e TWILIO_AUTH_TOKEN -e TWILIO_PHONE_NUMBER -e NOTIFICATION_CHANNEL ghcr.io/shatch/banjo:0.1.13
{
"mcpServers": {
"banjo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABASE_URL",
"-e",
"MCP_API_KEY",
"-e",
"ASSISTANT_PRINCIPAL_NAME",
"-e",
"PUBLIC_HOSTNAME",
"-e",
"VOICE_AI_PROVIDER",
"-e",
"OPENAI_API_KEY",
"-e",
"TWILIO_ACCOUNT_SID",
"-e",
"TWILIO_AUTH_TOKEN",
"-e",
"TWILIO_PHONE_NUMBER",
"-e",
"NOTIFICATION_CHANNEL",
"ghcr.io/shatch/banjo:0.1.13"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}",
"MCP_API_KEY": "${MCP_API_KEY}",
"ASSISTANT_PRINCIPAL_NAME": "${ASSISTANT_PRINCIPAL_NAME}",
"PUBLIC_HOSTNAME": "${PUBLIC_HOSTNAME}",
"VOICE_AI_PROVIDER": "${VOICE_AI_PROVIDER}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"TWILIO_ACCOUNT_SID": "${TWILIO_ACCOUNT_SID}",
"TWILIO_AUTH_TOKEN": "${TWILIO_AUTH_TOKEN}",
"TWILIO_PHONE_NUMBER": "${TWILIO_PHONE_NUMBER}",
"NOTIFICATION_CHANNEL": "${NOTIFICATION_CHANNEL}"
}
}
}
}
{
"servers": {
"banjo": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABASE_URL",
"-e",
"MCP_API_KEY",
"-e",
"ASSISTANT_PRINCIPAL_NAME",
"-e",
"PUBLIC_HOSTNAME",
"-e",
"VOICE_AI_PROVIDER",
"-e",
"OPENAI_API_KEY",
"-e",
"TWILIO_ACCOUNT_SID",
"-e",
"TWILIO_AUTH_TOKEN",
"-e",
"TWILIO_PHONE_NUMBER",
"-e",
"NOTIFICATION_CHANNEL",
"ghcr.io/shatch/banjo:0.1.13"
],
"env": {
"DATABASE_URL": "${DATABASE_URL}",
"MCP_API_KEY": "${MCP_API_KEY}",
"ASSISTANT_PRINCIPAL_NAME": "${ASSISTANT_PRINCIPAL_NAME}",
"PUBLIC_HOSTNAME": "${PUBLIC_HOSTNAME}",
"VOICE_AI_PROVIDER": "${VOICE_AI_PROVIDER}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"TWILIO_ACCOUNT_SID": "${TWILIO_ACCOUNT_SID}",
"TWILIO_AUTH_TOKEN": "${TWILIO_AUTH_TOKEN}",
"TWILIO_PHONE_NUMBER": "${TWILIO_PHONE_NUMBER}",
"NOTIFICATION_CHANNEL": "${NOTIFICATION_CHANNEL}"
}
}
}
}
name: my-agent target: local servers: - hub: io.github.shatch/banjo
- not probed yet: tools unpinned, ingest lists them
tools
Not probed yetThe tools appear once the hub or its worker has listed this entry. Running it still works: your client lists them on first start.