FL Studio MCP Mac
mcpopen · packageio.github.purahmanian/flstudio-mcp-mac · v0.1.2
macOS-first MCP bridge for FL Studio using CoreMIDI and FL Studio Python MIDI scripts.
run it
on your own machines, one way per deploy methodgenerated from the record, not tested yet
#!/usr/bin/env bash # flstudio-mcp-mac (io.github.purahmanian/flstudio-mcp-mac), recipe baremetal (generated). # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-flstudio-mcp-mac.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 flstudio-mcp-mac==0.1.2 [Unit] Description=MCP server flstudio-mcp-mac (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/flstudio-mcp-mac WorkingDirectory=/var/lib/mcp/flstudio-mcp-mac ExecStart=/opt/mcp/my-agent/bin/flstudio-mcp-mac.sh Restart=on-failure RestartSec=5 NoNewPrivileges=true ProtectSystem=strict ProtectHome=true PrivateTmp=true ReadWritePaths=/var/lib/mcp/flstudio-mcp-mac [Install] WantedBy=multi-user.target
generated from the record, not tested yet
docker run --rm -p 127.0.0.1:8101:8000 ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx flstudio-mcp-mac==0.1.2'
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-18T13:09:32+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:
flstudio-mcp-mac:
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 flstudio-mcp-mac==0.1.2
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
volumes:
npm-cache: {}
uv-cache: {}
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-18T13:09:32+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: flstudio-mcp-mac
namespace: mcp
labels: &id001
app: flstudio-mcp-mac
spec:
replicas: 1
selector:
matchLabels: *id001
template:
metadata:
labels: *id001
spec:
containers:
- name: flstudio-mcp-mac
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
ports:
- containerPort: 8000
name: http
env: []
command:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx flstudio-mcp-mac==0.1.2
readinessProbe:
httpGet:
path: /status
port: http
initialDelaySeconds: 10
---
apiVersion: v1
kind: Service
metadata:
name: flstudio-mcp-mac
namespace: mcp
spec:
selector:
app: flstudio-mcp-mac
ports:
- port: 8000
targetPort: http
name: http
generated from the record, not tested yet
# Generated by Hub for toolset "my-agent" (2026-10-18T13:09:32+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:
flstudio-mcp-mac:
enabled: true
replicas: 1
port: 8000
path: /mcp
container:
name: flstudio-mcp-mac
image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
ports:
- containerPort: 8000
name: http
env: []
command:
- sh
- -c
- uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx flstudio-mcp-mac==0.1.2
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
-
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 deployment's outputs list the endpoints.
connect to it
copy what your client needsuvx flstudio-mcp-mac==0.1.2
{
"mcpServers": {
"flstudio-mcp-mac": {
"command": "uvx",
"args": [
"flstudio-mcp-mac==0.1.2"
]
}
}
}
#!/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 flstudio-mcp-mac -- uvx flstudio-mcp-mac==0.1.2
{
"mcpServers": {
"flstudio-mcp-mac": {
"command": "uvx",
"args": [
"flstudio-mcp-mac==0.1.2"
]
}
}
}
{
"servers": {
"flstudio-mcp-mac": {
"type": "stdio",
"command": "uvx",
"args": [
"flstudio-mcp-mac==0.1.2"
]
}
}
}
name: my-agent target: local servers: - hub: io.github.purahmanian/flstudio-mcp-mac
- not probed yet: tools unpinned, ingest lists them
tools
Probe result: faileddocker: the container exited: ^ | File "<path>", line 306, in send_request | raise McpError(response_or_error.error) | mcp.shared.exceptions.McpError: Connection closed +------------------------------------; baremetal: MCPError: Connection closed; server stderr: …Downloading cryptography (4.5MiB) Downloading pydantic-core (2.1MiB) Downloaded pydantic-core Downloaded cryptography Installed 30 packages in 52ms The `mcp` package is required. Install this project with `pip install -e .` or install …
runs · 1
the latest tests of this entry by the hub and its workers, newest first| date | worker | method | status | sandbox | reason |
|---|---|---|---|---|---|
| 2026-10-17 17:16 | local-mac-vm | docker | failed | gvisor | docker: the container exited: ^ | File "<path>", line 306, in send_request | raise McpError(response_or_error.error) | mcp.shared.exceptions.McpError: Connectio… |