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Agent MCP Gateway

by roddutraversion 0.2.5i★ –iRuns on your computer
Registry nameio.github.roddutra/agent-mcp-gateway

Install

Overview

Description from the maker (original English)

On-demand tool discovery for all your MCPs and per-subagent MCP controls to preserve context window.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: GATEWAY_MCP_CONFIG, GATEWAY_RULES, GATEWAY_DEFAULT_AGENT, GATEWAY_DEBUG

You need

  • PyPIPython’s uv installed (for the uvx command)

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": {
    "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-gateway

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • GATEWAY_MCP_CONFIG env
    Path to MCP servers configuration file (default: .mcp.json)
  • GATEWAY_RULES env
    Path to gateway access control rules file (default: .mcp-gateway-rules.json)
  • GATEWAY_DEFAULT_AGENT env
    Default agent ID when not provided in tool calls
  • GATEWAY_DEBUG env
    Enable debug mode and expose diagnostic tools (default: false)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account roddutra, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32725 servers in this category
  • Published to the registry more recently than 1% of the other 32725 servers in this category
  • Basic checks equal to or better than 100% of the other 32725 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent MCP Gateway safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.5) reached the registry 11 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Signoff

Alternatives

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

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Signoff

by ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

Runs on your computerUpdated today
Install

README from the maker

Open the README

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.

Agent MCP Gateway

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.

Status

  • ✅ M0: Foundation - Configuration, policy engine, audit logging, list_servers tool
  • ✅ M1: Core - Proxy infrastructure, get_server_tools, execute_tool, middleware, metrics, hot reload, OAuth support
  • 🚧 M2: Production - HTTP transport, health checks (planned)
  • 🚧 M3: DX - Single-agent mode, config validation CLI, Docker (planned)

Current Version: M1-Core Complete (with OAuth)

Table of Contents

  • Overview
  • Installation
  • Quick Start
  • Command-Line Options
  • Configuration File Discovery
  • Configuration
  • Usage
  • Gateway Tools
  • Security Considerations
  • Troubleshooting
  • Testing
  • Development
  • Architecture
  • Future Features
  • Documentation
  • Contributing
  • License
  • Support
  • Acknowledgments

Overview

The Problem

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:

  • 5,000-50,000+ tokens consumed upfront
  • 80-95% of loaded tools never used by individual agents
  • Context needed for actual work gets wasted on unused tool definitions
The Solution

The Agent MCP Gateway acts as a single MCP server that proxies to multiple downstream MCP servers based on configurable per-agent rules:

  • 3 gateway tools load at startup (~2k tokens)
  • Agents discover and request specific tools on-demand
  • 90%+ context reduction
  • Policy-based access control per agent/subagent
How It Works

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)

Key Features
  • ✅ On-Demand Tool Discovery - Load tool definitions only when needed
  • ✅ Per-Agent Access Control - Configure which servers/tools each agent can access
  • ✅ Easy Agent Integration - Simple template to add gateway support to any agent (see guide)
  • ✅ Deny-Before-Allow Policies - Explicit deny rules take precedence
  • ✅ Wildcard Support - Pattern matching for tool names (get_*, *_user)
  • ✅ Session Isolation - Concurrent requests don't interfere
  • ✅ Transparent Proxying - Downstream servers unaware of gateway
  • ✅ Audit Logging - All operations logged for monitoring
  • ✅ Performance Metrics - Track latency and error rates per agent/operation
  • ✅ Hot Configuration Reload - Update rules/servers without restart
  • ✅ Thread-Safe Operations - Safe concurrent access during reloads
  • ✅ Diagnostic Tools - Health monitoring via get_gateway_status (debug mode only)

Installation

# 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.

Quick Start

1. Configure Gateway Files

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

Define agent access policies

nano ~/.config/agent-mcp-gateway/.mcp-gateway-rules.json

See Configuration section for detailed examples and Configuration File Discovery for alternative file locations.

2. Add Gateway to Your MCP Client

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.

3. Configure Your Agents

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:

Approach 1: Multi-Agent Mode (Recommended)

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:

  1. Use agent_id: "YOUR_AGENT_NAME" in ALL gateway tool calls for proper access control
  2. Call list_servers to discover which servers you have access to
  3. Call get_server_tools with the specific server name to discover available tools
  4. Use execute_tool to invoke tools with appropriate parameters
  5. If you cannot access a tool you need, immediately notify the user

Important: 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.

Approach 2: Single-Agent Mode

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.

Command-Line Options

# Show version

agent-mcp-gateway --version

Initialize config directory (first-time setup)

agent-mcp-gateway --init

Enable debug mode (exposes get_gateway_status diagnostic tool)

agent-mcp-gateway --debug

Show help

agent-mcp-gateway --help

Configuration File Discovery

The gateway searches for configuration files in this order:

MCP Server Config (.mcp.json)
  1. GATEWAY_MCP_CONFIG environment variable (if set)
  2. .mcp.json in current directory
  3. ~/.config/agent-mcp-gateway/.mcp.json (home directory)
  4. ./config/.mcp.json (fallback)
Gateway Rules (.mcp-gateway-rules.json)
  1. GATEWAY_RULES environment variable (if set)
  2. .mcp-gateway-rules.json in current directory
  3. ~/.config/agent-mcp-gateway/.mcp-gateway-rules.json (home directory)
  4. ./config/.mcp-gateway-rules.json (fallback)

Tip: Use agent-mcp-gateway --init to create the home directory configs on first run.

Configuration

The gateway requires two configuration files:

1. MCP Servers Configuration

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:

  • Use ${VAR_NAME} syntax for environment variable substitution
  • Set variables before running: export BRAVE_API_KEY=your-key

Important - 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.)

2. Gateway Rules Configuration

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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