Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
On-demand tool discovery for all your MCPs and per-subagent MCP controls to preserve context window.
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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.
GATEWAY_MCP_CONFIG, GATEWAY_RULES, GATEWAY_DEFAULT_AGENT, GATEWAY_DEBUGYou need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"agent-gateway": {
"command": "uvx",
"args": [
"agent-mcp-gateway"
],
"env": {
"GATEWAY_MCP_CONFIG": "your-value",
"GATEWAY_RULES": "your-value",
"GATEWAY_DEFAULT_AGENT": "your-value",
"GATEWAY_DEBUG": "your-value"
}
}
}
}Run this in your terminal
claude mcp add agent-gateway --env GATEWAY_MCP_CONFIG=your-value --env GATEWAY_RULES=your-value --env GATEWAY_DEFAULT_AGENT=your-value --env GATEWAY_DEBUG=your-value -- uvx agent-mcp-gatewayFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agent-gateway": {
"command": "uvx",
"args": [
"agent-mcp-gateway"
],
"env": {
"GATEWAY_MCP_CONFIG": "your-value",
"GATEWAY_RULES": "your-value",
"GATEWAY_DEFAULT_AGENT": "your-value",
"GATEWAY_DEBUG": "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": {
"agent-gateway": {
"type": "stdio",
"command": "uvx",
"args": [
"agent-mcp-gateway"
],
"env": {
"GATEWAY_MCP_CONFIG": "your-value",
"GATEWAY_RULES": "your-value",
"GATEWAY_DEFAULT_AGENT": "your-value",
"GATEWAY_DEBUG": "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.
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GATEWAY_MCP_CONFIG envGATEWAY_RULES envGATEWAY_DEFAULT_AGENT envGATEWAY_DEBUG 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 7, 2026
The registry name was verified with the GitHub account roddutra, 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 (0.2.5) reached the registry 11 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Signoff
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.
Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.
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.
A Model Context Protocol (MCP) gateway that aggregates multiple MCP servers and provides policy-based access control for agents and subagents. Solves Claude Code's MCP context window waste by enabling on-demand tool discovery instead of loading all tool definitions upfront.
list_servers toolget_server_tools, execute_tool, middleware, metrics, hot reload, OAuth supportCurrent Version: M1-Core Complete (with OAuth)
When multiple MCP servers are configured in development environments (Claude Code, Cursor, VS Code), all tool definitions from all servers load into every agent's and subagent's context window at startup:
The Agent MCP Gateway acts as a single MCP server that proxies to multiple downstream MCP servers based on configurable per-agent rules:
The gateway sits between agents and downstream MCP servers, exposing only 3 lightweight tools. When an agent needs specific functionality, it discovers available servers and tools through the gateway, which filters visibility based on policy rules - agents only see servers and tools they have access to. This reduces each agent's context window to only relevant tools, while the gateway handles proxying authorized requests to downstream servers.
[View detailed diagram with examples →](docs/diagram-full.png) (includes downstream servers, tools, and gateway rules examples)
get_*, *_user)get_gateway_status (debug mode only)# Creates ~/.config/agent-mcp-gateway/ with template configuration files
uvx agent-mcp-gateway --init
This generates two template files ready to customize:
mcp.json - Your downstream MCP servers (Brave, Postgres, etc.)mcp-gateway-rules.json - Per-agent access policies (who can use which servers/tools)For local development: See Development section.
After running uvx agent-mcp-gateway --init (see Installation), edit the generated template files:
# Define your downstream MCP servers
nano ~/.config/agent-mcp-gateway/.mcp.json
nano ~/.config/agent-mcp-gateway/.mcp-gateway-rules.json
See Configuration section for detailed examples and Configuration File Discovery for alternative file locations.
Claude Code CLI:
claude mcp add agent-mcp-gateway uvx agent-mcp-gateway
Manual configuration:
{
"mcpServers": { "agent-mcp-gateway": { "command": "uvx", "args": ["agent-mcp-gateway"], "env": { "GATEWAY_MCP_CONFIG": "~/.config/agent-mcp-gateway/.mcp.json", "GATEWAY_RULES": "~/.config/agent-mcp-gateway/.mcp-gateway-rules.json", "GATEWAY_DEFAULT_AGENT": "developer" } } } }
Note: The env variables are optional if using default config locations. See Environment Variables Reference for all options.
The gateway's tool descriptions are self-documenting, but for proper access control you should configure how your agents identify themselves. Choose the approach that fits your use case:
For different agents with different permissions, configure each agent to pass its identity.
Add this to your agent's system prompt (e.g., CLAUDE.md, .claude/agents/agent-name.md):
## MCP Gateway Access
Available Tools (via agent-mcp-gateway):
You have access to MCP servers through the agent-mcp-gateway. The specific servers and tools available to you are determined by the gateway's access control rules.
Tool Discovery Process:
When you need to use tools from downstream MCP servers:
agent_id: "YOUR_AGENT_NAME" in ALL gateway tool calls for proper access controllist_servers to discover which servers you have access toget_server_tools with the specific server name to discover available toolsexecute_tool to invoke tools with appropriate parametersImportant: Always include agent_id: "YOUR_AGENT_NAME" in your gateway tool calls. This ensures proper access control and audit logging.
Replace YOUR_AGENT_NAME with your agent's identifier (e.g., "researcher", "backend", "admin").
Examples: See .claude/agents/researcher.md and .claude/agents/mcp-developer.md for complete configuration examples.
For simpler setups where all agents should have the same permissions, or when using MCP clients without system prompt configuration (e.g., Claude Desktop), configure a default agent using either method:
Option A: Environment Variable
# Set in your MCP client configuration
export GATEWAY_DEFAULT_AGENT=developer
**Note:** The agent specified (e.g., "developer") must exist in your `.mcp-gateway-rules.json` file with appropriate permissions.
Option B: "default" Agent in Rules
{
"agents": { "default": { "allow": { "servers": ["*"] } } }, "defaults": { "deny_on_missing_agent": false } }
**Note:** Allowing all servers (`"servers": ["*"]`) without specifying tool restrictions grants access to all tools on all servers.
With either approach, agents can omit agent_id in tool calls - the gateway uses your configured default agent automatically.
# Show version
agent-mcp-gateway --version
agent-mcp-gateway --init
agent-mcp-gateway --debug
agent-mcp-gateway --help
The gateway searches for configuration files in this order:
GATEWAY_MCP_CONFIG environment variable (if set).mcp.json in current directory~/.config/agent-mcp-gateway/.mcp.json (home directory)./config/.mcp.json (fallback)GATEWAY_RULES environment variable (if set).mcp-gateway-rules.json in current directory~/.config/agent-mcp-gateway/.mcp-gateway-rules.json (home directory)./config/.mcp-gateway-rules.json (fallback)Tip: Use agent-mcp-gateway --init to create the home directory configs on first run.
The gateway requires two configuration files:
File: mcp.json (searched in multiple locations)
Defines the downstream MCP servers the gateway will proxy to. Uses the standard MCP config format compatible with Claude Code and other coding agents:
{
"mcpServers": { "brave-search": { "description": "Web search via Brave Search API", "command": "npx", "args": ["-y", "@modelcontextprotocol/server-brave-search"], "env": { "BRAVE_API_KEY": "${BRAVE_API_KEY}" } }, "postgres": { "description": "PostgreSQL database access and query execution", "command": "uvx", "args": ["mcp-server-postgres"], "env": { "DATABASE_URL": "${DATABASE_URL}" } }, "remote-server": { "description": "Custom remote API integration", "url": "https://example.com/mcp", "transport": "http", "headers": { "Authorization": "Bearer ${API_TOKEN}" } } } }
Server Descriptions (Recommended): Adding a description field to each server helps AI agents understand what each server provides and when to use it. Descriptions are always returned by list_servers, enabling agents to make informed decisions about which servers to query for tools. While optional, descriptions significantly improve agent tool discovery and decision-making.
Supported Transports:
stdio - Local servers via npx/uvx (specified with command + args)http - Remote HTTP servers (specified with url)Environment Variables:
${VAR_NAME} syntax for environment variable substitutionexport BRAVE_API_KEY=your-keyImportant - GUI Applications (Claude Desktop, etc.): If you use ${VAR_NAME} syntax in .mcp.json, note that macOS GUI applications run in isolated environments without access to your shell's environment variables. For Claude Desktop and similar apps, add API keys to the gateway's env object in your MCP client configuration:
{
"mcpServers": { "agent-mcp-gateway": { "command": "uvx", "args": ["agent-mcp-gateway"], "env": { "BRAVE_API_KEY": "your-actual-key-here", "DATABASE_URL": "postgresql://...", "GATEWAY_DEFAULT_AGENT": "claude-desktop" } } } }
(If you hardcode values directly in .mcp.json without ${VAR_NAME} syntax, this is not necessary.)
File: mcp-gateway-rules.json (searched in multiple locations)
Defines per-agent access policies using deny-before-allow precedence:
{
"agents": { "researcher": { "allow": { "servers": ["brave-search", "context7"], "tools": {
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