Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Perforce P4 MCP server for version control and P4 DAM digital asset management.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
P4PORT, P4USER, P4CLIENT, P4PASSWD, P4DAM_API_KEYYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"p4mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"P4PORT",
"-e",
"P4USER",
"-e",
"P4CLIENT",
"-e",
"P4PASSWD",
"-e",
"P4DAM_API_KEY",
"ghcr.io/perforce/p4mcp-server:2026.4.3126709"
],
"env": {
"P4PORT": "your-value",
"P4USER": "your-value",
"P4CLIENT": "your-value",
"P4PASSWD": "your-value",
"P4DAM_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add p4mcp --env P4PORT=your-value --env P4USER=your-value --env P4CLIENT=your-value --env P4PASSWD=your-value --env P4DAM_API_KEY=your-value -- docker run -i --rm -e P4PORT -e P4USER -e P4CLIENT -e P4PASSWD -e P4DAM_API_KEY ghcr.io/perforce/p4mcp-server:2026.4.3126709Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"p4mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"P4PORT",
"-e",
"P4USER",
"-e",
"P4CLIENT",
"-e",
"P4PASSWD",
"-e",
"P4DAM_API_KEY",
"ghcr.io/perforce/p4mcp-server:2026.4.3126709"
],
"env": {
"P4PORT": "your-value",
"P4USER": "your-value",
"P4CLIENT": "your-value",
"P4PASSWD": "your-value",
"P4DAM_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"p4mcp": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"P4PORT",
"-e",
"P4USER",
"-e",
"P4CLIENT",
"-e",
"P4PASSWD",
"-e",
"P4DAM_API_KEY",
"ghcr.io/perforce/p4mcp-server:2026.4.3126709"
],
"env": {
"P4PORT": "your-value",
"P4USER": "your-value",
"P4CLIENT": "your-value",
"P4PASSWD": "your-value",
"P4DAM_API_KEY": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
P4PORT envP4USER envP4CLIENT envP4PASSWD envP4DAM_API_KEY envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account perforce, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2026.4.3126709) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, yontu
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Perforce P4 MCP Server
Perforce P4 MCP Server is a Model Context Protocol (MCP) server that integrates with the Perforce P4 version control system. It is built on FastMCP with direct P4 Python bindings to expose safe, structured read/write tools for changelists, files, shelves, workspaces, jobs, reviews, and server metadata. It also integrates with P4 DAM through its REST API to manage resources .
Features · Prerequisites · System Requirements · Install · Deployment · Client Configurations · P4 Configurations · Tools
Logging · Troubleshoot · Support · Contributions · License
logs/ directory.| Component | Supported Versions |
|---|
| Operating Systems | Windows 10+ macOS 12+ Linux (glibc 2.34+, e.g. Ubuntu 22.04+, Rocky Linux 9+) | | Perforce P4 Server | 2026.1 *(earlier versions untested)* | | Python | 3.11+ *(required only for building from source)* |
uvx (easiest, no install required)
If you have uv installed, you can run P4 MCP Server directly without any manual installation:
# Run the server
uvx p4mcp-server
uvx p4mcp-server --version
uvx p4mcp-server --readonly --allow-usage
This automatically fetches and runs the latest version from PyPI. No Python virtual environment setup or dependency management needed.
Requirements:
Pre-built binaries (recommended for offline/air-gapped)
Download the appropriate binary for your operating system:
Extract and use the executable directly. No Python installation is required.
# macOS / Linux
unzip p4-mcp-server-mac.zip # or p4-mcp-server-linux.zip ./p4-mcp-server --help
# Windows
Expand-Archive p4-mcp-server-win.zip -DestinationPath . .\p4-mcp-server.exe --help
Build from source
Requirements:
Build:
Output:
Local
Run the P4 MCP Server directly on your machine using the default STDIO transport.
Add the following to your mcp.json:
{
"mcpServers": { "perforce-p4-mcp": { "command": "/absolute/path/to/p4-mcp-server", "env": { "P4PORT": "ssl:perforce.example.com:1666", "P4USER": "your_username", "P4CLIENT": "your_workspace", "P4DAM_API_KEY": "your_api_key" }, "args": [ "--readonly", "--allow-usage" ] } } }
Note: This example shows explicit
envvalues. IfP4CONFIGis set, you can omit them and use the generic configuration example in theMCP client configurationsection instead.
Docker
Run the P4 MCP Server from a Docker container with STDIO transport, allowing MCP clients to manage the container lifecycle.
Note: Docker-based execution is currently supported on macOS and Linux only.
Prerequisites
Pull the Docker image
docker pull ghcr.io/perforce/p4mcp-server:latest
Build from source instead
cd /path/to/p4mcp-server
docker build -t ghcr.io/perforce/p4mcp-server .
Configure MCP Client
Add the following to your mcp.json:
{
"servers": { "perforce-p4mcp-docker": { "command": "docker", "args": [ "run", "-i", "--rm", "--hostname", "your-hostname", "-e", "P4PORT=ssl:perforce.example.com:1666", "-e", "P4USER=your_username", "-e", "P4CLIENT=your_workspace", "-e", "P4DAM_API_KEY=your_api_key", "-v", "/Users/your_username/.p4tickets:/home/mcpuser/.p4tickets:ro", "ghcr.io/perforce/p4mcp-server:latest" ] } } }
Configuration Options
| Flag | Description |
|---|---|
-i | Interactive mode (required for STDIO) |
--rm | Remove container when stopped |
--hostname | Match workspace host restriction |
-e P4PORT | P4 server address |
-e P4USER | P4 username |
-e P4CLIENT | Workspace name |
-v | Mount P4 tickets file |
Authentication
Using P4 tickets:
# macOS/Linux
-v /Users/your_username/.p4tickets:/home/mcpuser/.p4tickets:ro
Note: Use the full path to your tickets file (not
~). After runningp4 login, restart the MCP server to pick up the new ticket.
Note: By default the container starts as root, copies the bind-mounted tickets file to a location readable by the non-root
mcpuser, then drops privileges (viagosu) so the server runs asmcpuser. This auto-copy lets an owner-only (0600) tickets file owned by a foreign uid work on runtimes that preserve host ownership (native Linux Docker/podman). A:robind mount of the ticket is supported — the file is copied, not modified in place (this is distinct from a read-only container root filesystem; see below). Note the auto-copy runs only when the container starts as root (the default); forcing a non-root uid or a read-only root filesystem changes this behavior, as described below.
Kubernetes / restricted (non-root-enforced) profiles: the image intentionally starts as root and drops to
mcpuser(uid 1000) viagosu, so the server always runs non-root — both paths are supported. ForrunAsNonRoot/ restricted PodSecurity / OpenShift restricted SCC, setsecurityContext.runAsUser: 1000(andfsGroup: 1000when mounting the ticket). In that mode the entrypoint's root-only ticket copy is skipped, so the mounted ticket must already be readable by uid 1000 (owner-matched mount,-e P4PASSWD="your_ticket_content", orpodman -v :/home/mcpuser/.p4tickets:U).
Read-only root filesystem (`--read-only` / `readOnlyRootFilesystem`): provide a writable/tmpfs
/home/mcpuser(e.g.--tmpfs /home/mcpuser) so the ticket copy can be written; otherwise the ticket copy fails and P4 will report a normal auth error.
Using a password:
-e P4PASSWD="your_password"
Workspace Host Restrictions
⚠️ Important: Docker containers have their own hostname, which differs from your local machine. If your P4 workspace is restricted to a specific host, operations like
syncwill fail.
To resolve this, set the container hostname to match your workspace's host restriction:
--hostname your-hostname
To find your workspace host name:
# macOS/Linux
p4 client -o your_workspace | grep "^Host:"
Mounting Client Root for Write Operations
⚠️ Important: By default, the Docker container cannot access your local workspace files. For write operations like
sync,submit, orreconcile, you must mount your client root directory into the container at the same path.
Add a volume mount for your client root:
-v /path/to/your/client/root:/path/to/your/client/root
Example configuration with client root mounted:
{
"servers": { "perforce-p4mcp-docker": { "command": "docker", "args": [ "run", "-i", "--rm", "--hostname", "your-hostname", "-e", "P4PORT=ssl:perforce.example.com:1666", "-e", "P4USER=your_username", "-e", "P4CLIENT=your_workspace", "-e", "P4DAM_API_KEY=your_api_key", "-v", "/Users/your_username/.p4tickets:/home/mcpuser/.p4tickets", "-v", "/path/to/client/root:/path/to/client/root", "ghcr.io/perforce/p4mcp-server:latest" ] } } }
To find your client root:
p4 client -o your_workspace | grep "^Root:"
Note: The mount path inside the container must match the client root path exactly, as P4 tracks files by their absolute paths.
Security: HTTP binds to
127.0.0.1(local only) by default. Use--host 0.0.0.0for remote clients. HTTP has no authentication, so expose it only on trusted networks.
VM
Run the MCP server on a VM using the HTTP transport, allowing clients to connect over the network.
Start the server on the VM:
P4PORT=ssl:perforce.example.com:1666 P4USER=your_username P4PASSWD=YOUR_TICKET ./p4-mcp-server --readonly --transport http --host 0.0.0.0 --port 8000
Configure the MCP client:
Add the following to your mcp.json:
{
"servers": { "perforce-p4-mcp": { "type": "http",
Only the beginning is shown; read the rest in the repo