Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
AuthzX MCP Gateway — policy-enforcing proxy between AI agents and MCP servers
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.
YOUR_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You 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": {
"gateway": {
"command": "npx",
"args": [
"-y",
"@authzx/mcp-gateway"
],
"env": {
"YOUR_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add gateway --env YOUR_API_KEY=your-value -- npx -y @authzx/mcp-gatewayFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"gateway": {
"command": "npx",
"args": [
"-y",
"@authzx/mcp-gateway"
],
"env": {
"YOUR_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": {
"gateway": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@authzx/mcp-gateway"
],
"env": {
"YOUR_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.
These 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 7, 2026
The registry name was verified with the GitHub account authzx, 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.
You need to fill in: YOUR_API_KEY
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 (1.0.1) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Hunter Killer
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.
Liquidation walls, snapshot age, evidence labels and a public record. Managed OAuth.
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.
Authorization gateway for AI agents and MCP tool calls.
Open-source. Drop-in. Works with any MCP client.
AI agents connected to MCP servers can call any tool they have access to: read your database, delete files, execute arbitrary SQL. Vengtoo MCP Gateway puts a policy enforcement point between the agent and those tools, so every call is authorized before it executes.
{"ts":"2026-05-25T10:03:11.482Z","level":"info","msg":"mcp_tool_call","subject":"agent:ai-assistant","tool":"database__query","allowed":true,"latency_ms":0.8}
go install github.com/vengtoo/agent/cmd/agent@latest
vengtoo-agent --policy ./policy.rego
Create a policy.rego to define what your agent can do:
package vengtoo.mcp
default allow := false
allow if { input.resource.name == "databasequery" } allow if { input.resource.name == "databaselist_tables" }
allow if { input.resource.name == "database__execute" not contains(lower(input.resource.attributes.sql), "drop") not contains(lower(input.resource.attributes.sql), "delete from") }
See demo/policies/ for more examples including Kubernetes namespace protection.
gateway.config.json:{
"vengtoo": { "agentUrl": "http://127.0.0.1:8181" }, "subject": "agent:ai-assistant", "servers": { "database": { "command": "node", "args": ["./my-database-mcp-server.js"] } } }
claude mcp add --transport stdio vengtoo-gateway -- \
npx vengtoo-mcp-gateway --config /path/to/gateway.config.json
| Field | Type | Required | Description |
|---|---|---|---|
vengtoo.agentUrl | string | \* | URL of local Vengtoo Agent (local mode) |
vengtoo.cloudUrl | string | \* | URL of Vengtoo Cloud API (cloud mode) |
vengtoo.apiKey | string | API key from Vengtoo Cloud (or set VENGTOO_API_KEY env var) | |
vengtoo.timeoutMs | number | Authorization request timeout (default: 5000) | |
subject | string | yes | Identity of the agent making tool calls |
subjectType | string | Subject type (default: "agent") | |
resourceType | string | Resource type for authorization checks (default: "mcp_tool") | |
servers | object | yes | Map of downstream MCP servers to proxy |
transport | string | Caller transport: "stdio" (default) or "http", see Transport | |
http | object | HTTP transport settings (used when transport is "http") |
\* Provide either agentUrl (local mode) or cloudUrl (cloud mode).
Each entry in servers has:
| Field | Type | Required | Description |
|---|---|---|---|
command | string | yes | Command to spawn the MCP server |
args | string[] | Command arguments | |
env | object | Additional environment variables |
Connect to Vengtoo Cloud for managed policies:
{
"vengtoo": { "cloudUrl": "https://api.vengtoo.com/access/v1/evaluation", "apiKey": "vgt_..." }, "subject": "agent:prod-assistant", "servers": { "database": { "command": "node", "args": ["./db-server.js"] } } }
Run the Vengtoo Agent locally with a .rego policy file for offline, self-contained authorization:
# Start the agent with your policy
vengtoo-agent --policy ./policy.rego
{
"vengtoo": { "agentUrl": "http://127.0.0.1:8181" }, "subject": "agent:dev-assistant", "servers": { "database": { "command": "node", "args": ["./db-server.js"] } } }
The gateway exposes its (policy-enforced) tools to callers over one of two transports.
Runs as a local subprocess speaking MCP over stdin/stdout: the right choice for a single desktop agent (Claude Desktop, Cursor, Claude Code). No network surface.
Runs a Streamable HTTP MCP server at a URL, so a remote agent (or many concurrent agents) can share one governed gateway. Enable it with --http (or "transport": "http" in the config):
vengtoo-mcp-gateway --config gateway.config.json --http --port 8808
{
"vengtoo": { "cloudUrl": "https://api.vengtoo.com/access/v1/evaluation", "apiKey": "vgt_..." }, "subject": "agent:prod-assistant", "transport": "http", "http": { "port": 8808, "host": "0.0.0.0", "path": "/mcp", "authTokens": [" "], "allowedHosts": ["gateway.example.com"] }, "servers": { "database": { "command": "node", "args": ["./db-server.js"] } } }
HTTP config (http.*):
| Field | Type | Default | Description |
|---|---|---|---|
port | number | 8808 | TCP port to listen on |
host | string | 127.0.0.1 | Interface to bind; 0.0.0.0 accepts remote connections |
path | string | /mcp | URL path of the MCP endpoint |
callers | object[] | - | Per-caller identity: { "token": "...", "subject": "agent:claude" }; each bearer token authorizes as its own subject |
authTokens | string[] | - | Anonymous bearer tokens; grant access, run as the global subject |
allowedHosts | string[] | - | Enables DNS-rebinding protection; rejects requests with an unlisted Host |
allowedOrigins | string[] | - | Enables DNS-rebinding protection; rejects requests with an unlisted Origin |
Per-caller identity. Give each agent its own token and subject, and your policies (and audit trail) see each caller's real identity through one shared gateway:
"http": {
"port": 8808, "callers": [ { "token": " ", "subject": "agent:claude" }, { "token": " ", "subject": "agent:cursor" } ] }
Also settable via VENGTOO_GATEWAY_HTTP_CALLERS=" =agent:claude, =agent:cursor". Sessions are bound to the token that opened them: a different caller presenting another caller's session id gets a 401, so identities cannot cross sessions. Tokens listed in authTokens (or callers omitted entirely) run as the config's global subject.
Safety: the gateway refuses to bind a non-loopback interface with no caller auth (callers or authTokens). Either configure tokens, or set VENGTOO_GATEWAY_ALLOW_UNAUTHENTICATED=true to knowingly expose an open endpoint. An unauthenticated GET /healthz liveness probe is always served.
⚠️ Security: Vengtoo trusts whichever subject this gateway asserts. The
callerstoken→subject mapping above (owned by this gateway's own config) is the
correct pattern; it is NOT the same as trusting a client-supplied header. Never
change this to derive the subject from a header/field a calling client sends; that
would let any caller claim to be any subject and inherit its permissions within
your tenant. If you front this gateway with another reverse proxy, make sure that
proxy cannot be made to forward an arbitrary caller-chosen bearer token or subject.
| Flag | Description |
|---|---|
--config | Path to gateway config file (default: ./gateway.config.json) |
--http | Serve over HTTP instead of stdio |
--port | HTTP listen port (default: 8808; implies --http-compatible config) |
--host | HTTP bind interface (default: 127.0.0.1) |
--path | HTTP endpoint path (default: /mcp) |
--list-tools | List all tools from configured downstream servers and exit |
--generate-policy [path] | Generate a starter .rego policy file for the configured tools (default: policy.rego) |
Environment overrides: VENGTOO_API_KEY, VENGTOO_AGENT_URL, VENGTOO_SUBJECT, VENGTOO_GATEWAY_TRANSPORT (http), VENGTOO_GATEWAY_PORT / PORT, VENGTOO_GATEWAY_HOST, VENGTOO_GATEWAY_PATH, VENGTOO_GATEWAY_HTTP_TOKENS (comma-separated), VENGTOO_GATEWAY_ALLOW_UNAUTHENTICATED.
The gateway runs as a stdio MCP server. Point your MCP client at it instead of the downstream server directly.
claude mcp add --transport stdio vengtoo-gateway -- \
npx vengtoo-mcp-gateway --config /path/to/gateway.config.json
Add to .cursor/mcp.json:
{
"mcpServers": { "vengtoo-gateway": { "command": "npx", "args": ["vengtoo-mcp-gateway", "--config", "/path/to/gateway.config.json"] } } }
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "vengtoo-gateway": { "command": "npx", "args": ["vengtoo-mcp-gateway", "--config", "/path/to/gateway.config.json"] } } }
Add to .vscode/mcp.json:
{
"servers": { "vengtoo-gateway": { "type": "stdio", "command": "npx", "args": ["vengtoo-mcp-gateway", "--config", "/path/to/gateway.config.json"] } } }
See demo/ for full end-to-end examples with sample policies.
See ROADMAP.md for what's planned: per-caller OAuth, downstream resilience, dynamic tool lists, metrics, remote downstream servers, and more.
Apache-2.0, see LICENSE.