MCP SiftCurated directory

mcp-agentify

by steipete

AI-Powered MCP Gateway for Tool Orchestration. Configured via environment variables (e.g., OPENAI_API_KEY, LOG_LEVEL, FRONTEND_PORT) and initializationOptions for backend MCP servers.

Developer toolsstdio or Streamable HTTPCommunity

Repository-wide counts · Cached 2026-06-09

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Overview

The mcp-agentify MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the mcp-agentify repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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mcp-agentify

AI-powered MCP gateway that discovers tools from backend MCP servers and routes each natural-language request to one backend tool.

Experimental. The npm package is @steipete/mcp-agentify. The unscoped mcp-agentify package belongs to an unrelated project.

Requirements

  • Node.js 20.19 or newer
  • An OpenAI API key
  • At least one stdio MCP backend

Install

npm install --global @steipete/mcp-agentify

The installed command remains mcp-agentify.

Configure

Create mcp-agentify.json:

{
  "openaiModel": "gpt-4.1-mini",
  "frontendPort": 3030,
  "agents": ["openai/gpt-4.1-mini"],
  "backends": [
    {
      "id": "filesystem",
      "displayName": "Workspace files",
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/[email protected]",
        "/absolute/path/to/allowed/files"
      ]
    },
    {
      "id": "browserbase",
      "displayName": "Browserbase",
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@browserbasehq/[email protected]"],
      "inheritEnv": [
        "BROWSERBASE_API_KEY",
        "BROWSERBASE_PROJECT_ID",
        "GEMINI_API_KEY"
      ]
    }
  ]
}

Set credentials in the gateway process environment:

export OPENAI_API_KEY=...
export BROWSERBASE_API_KEY=...
export BROWSERBASE_PROJECT_ID=...
export GEMINI_API_KEY=...
mcp-agentify --config /absolute/path/to/mcp-agentify.json

inheritEnv is an explicit allowlist. Backend processes receive a minimal default environment plus only listed variables and configured env values. A configured value such as "TOKEN": "${TOKEN}" expands from the gateway environment.

MCP client

Configure the gateway as a stdio MCP server:

{
  "mcpServers": {
    "agentify": {
      "command": "npx",
      "args": [
        "-y",
        "@steipete/mcp-agentify",
        "--config",
        "/absolute/path/to/mcp-agentify.json"
      ],
      "env": {
        "OPENAI_API_KEY": "..."
      }
    }
  }
}

The gateway exposes one MCP tool:

  • orchestrate_task: selects and calls exactly one tool discovered from the configured backends.

Multi-step workflows require multiple orchestrate_task calls. For example, a Browserbase workflow can call start, then navigate, then extract.

CLI

mcp-agentify --config <path> [--frontend-port <port>|--no-ui] [--model <model>]

Environment overrides:

Variable Purpose
OPENAI_API_KEY Required OpenAI credential
OPENAI_BASE_URL Optional OpenAI-compatible base URL
OPENAI_MODEL Override openaiModel
MCP_AGENTIFY_CONFIG Default configuration path
FRONTEND_PORT UI port, or disabled
LOG_LEVEL Pino log level
AGENTS Comma-separated openai/<model> UI agents

Local UI

Set frontendPort or pass --frontend-port. The dashboard binds to 127.0.0.1 and shows backend status, redacted logs, MCP traces, configuration, and optional direct OpenAI chat.

Security

  • Restrict filesystem backends to the minimum required directories.
  • Keep credentials in environment variables; do not put them in JSON or command arguments.
  • Only variables listed in inheritEnv are forwarded to a backend.
  • Configuration, logs, traces, errors, and backend command arguments are redacted before display.
  • Dashboard HTTP requests require a localhost Host; browser origins and WebSockets must be same-origin.
  • The dashboard is local-only and has no authentication. Do not proxy or expose it.

Development

npm ci
npm run lint
npm test
npm pack --dry-run

npm test rebuilds the server and packaged UI before running unit and integration tests.

See API, examples, and release notes.