Formio Uag

Name: Formio Uag
Author: formio

by formioversion 1.13.2i★ –iRuns on your computer

Registry nameio.form/formio-uag

Install

Overview

Description from the maker (original English)

The Universal Agent Gateway (UAG) enables in-process agentic automation using Form.io.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Streamable HTTP
Category: Other
You need to fill in: PROJECT, PROJECT_KEY, ADMIN_KEY, UAG_LICENSE, JWT_SECRET, PORTAL_SECRET, MONGO, BASE_URL

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: PROJECT, PROJECT_KEY, ADMIN_KEY, UAG_LICENSE, JWT_SECRET, PORT, PROJECT_TTL, JWT_EXPIRE_TIME, PORTAL_SECRET, MONGO, MONGO_CONFIG, BASE_URL, LOGIN_FORM, CORS, DEBUG

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "formio-uag": {
      "command": "npx",
      "args": [
        "-y",
        "@formio/uag"
      ],
      "env": {
        "PROJECT": "your-value",
        "PROJECT_KEY": "your-value",
        "ADMIN_KEY": "your-value",
        "UAG_LICENSE": "your-value",
        "JWT_SECRET": "your-value",
        "PORT": "your-value",
        "PROJECT_TTL": "your-value",
        "JWT_EXPIRE_TIME": "your-value",
        "PORTAL_SECRET": "your-value",
        "MONGO": "your-value",
        "MONGO_CONFIG": "your-value",
        "BASE_URL": "your-value",
        "LOGIN_FORM": "your-value",
        "CORS": "your-value",
        "DEBUG": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add formio-uag --env PROJECT=your-value --env PROJECT_KEY=your-value --env ADMIN_KEY=your-value --env UAG_LICENSE=your-value --env JWT_SECRET=your-value --env PORT=your-value --env PROJECT_TTL=your-value --env JWT_EXPIRE_TIME=your-value --env PORTAL_SECRET=your-value --env MONGO=your-value --env MONGO_CONFIG=your-value --env BASE_URL=your-value --env LOGIN_FORM=your-value --env CORS=your-value --env DEBUG=your-value -- npx -y @formio/uag

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": {
    "formio-uag": {
      "command": "npx",
      "args": [
        "-y",
        "@formio/uag"
      ],
      "env": {
        "PROJECT": "your-value",
        "PROJECT_KEY": "your-value",
        "ADMIN_KEY": "your-value",
        "UAG_LICENSE": "your-value",
        "JWT_SECRET": "your-value",
        "PORT": "your-value",
        "PROJECT_TTL": "your-value",
        "JWT_EXPIRE_TIME": "your-value",
        "PORTAL_SECRET": "your-value",
        "MONGO": "your-value",
        "MONGO_CONFIG": "your-value",
        "BASE_URL": "your-value",
        "LOGIN_FORM": "your-value",
        "CORS": "your-value",
        "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": {
    "formio-uag": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@formio/uag"
      ],
      "env": {
        "PROJECT": "your-value",
        "PROJECT_KEY": "your-value",
        "ADMIN_KEY": "your-value",
        "UAG_LICENSE": "your-value",
        "JWT_SECRET": "your-value",
        "PORT": "your-value",
        "PROJECT_TTL": "your-value",
        "JWT_EXPIRE_TIME": "your-value",
        "PORTAL_SECRET": "your-value",
        "MONGO": "your-value",
        "MONGO_CONFIG": "your-value",
        "BASE_URL": "your-value",
        "LOGIN_FORM": "your-value",
        "CORS": "your-value",
        "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

PROJECT required env
API endpoint to Enterprise project or OSS server
PROJECT_KEY secret env
Project API Key (Enterprise) or ADMIN_KEY (OSS)
ADMIN_KEY secret env
Server admin key for Community Edition. Not required for Enterprise deployment.
UAG_LICENSE secret env
License for Enterprise deployment. Not required for Community Edition.
JWT_SECRET secret required env
Secret used to generate and validate JWT tokens
PORT env
Server port (default: 3200)
PROJECT_TTL env
Project cache refresh interval in seconds (default: 900)
JWT_EXPIRE_TIME env
JWT token expiration in seconds (default: 3600)
PORTAL_SECRET secret env
Enterprise Portal connection secret
MONGO secret env
Direct MongoDB connection URI (Enterprise)
MONGO_CONFIG env
MongoDB driver configuration (JSON)
BASE_URL required env
The URL clients reach the UAG at. Published in the .well-known OIDC (PKCE) definitions and used for authentication callbacks, so remote agents cannot authenticate without it. Must be a public URL whe…
LOGIN_FORM env
Public URL to login form JSON endpoint
CORS env
CORS domain or JSON configuration (default: *)
DEBUG env
Debug logging filter (e.g. formio.*)

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain form.io (the registry checks domain ownership)
… 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 32415 servers in this category
Published to the registry more recently than 22% of the other 32415 servers in this category
Basic checks equal to or better than 100% of the other 32415 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 Formio Uag 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?

You need to fill in: PROJECT, PROJECT_KEY, ADMIN_KEY, UAG_LICENSE, JWT_SECRET, PORTAL_SECRET, MONGO, BASE_URL

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 (1.13.2) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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

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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.

The Universal Agent Gateway (UAG) leverages the Model Context Protocol (MCP) to enable in-process agentic automation using Form.io. It provides to an AI Agent the same thing that our JavaScript Renderer provides to a human; an interpretation of the Form JSON schema into an understandable format. In the case of UAG, it transforms the Form JSON model into an AI readible markdown format so that the Agent can easily understand the purpose and structure of the data that needs to be collected.

There are two primary scenarios that the UAG enables:

Unstructured 'chat' input to deterministic form submission: This capability uses the JSON schema of a Form.io form to produce a deterministic structured data object provided natural language conversational input.

For a working example of this flow, please try out the Conversation Form Example.

Agentic Form.io Workflows: UAG provides an AI Agent the ability to take existing submission data + "context" criteria in order to prompt an AI Agent to provide its own data and analysis within a workflow scenario. The following example, which shows a college application process using a Form.io application form, shows how this primary scenario works.

For more information on Agentic workflows, checkout the dedicated Agentic Workflows section. For a working example of this flow, please try out the Agentic Workflow Example.

One of the many benefits that the UAG has to offer is the ability to inject Dynamic Context into an AI processing cycle. This is achieved from the dynamic nature of the Form JSON schemas that can easily be modified and deployed to any environment without the need to update your application or re-train the agents within the process. Because of this, dynamic context changes can be injected seamlessly into an existing running process which will automatically update the behaviors of the Agents utilizing the UAG.

Try it out!

There are three working examples in this repo, each spinning up a Form.io server alongside the UAG with Docker Compose. Pick the one that matches what you are building.

Example	Pattern	Licensing
[Custom Module](examples/custom-module)	Conversational, existing client. Connect Claude Desktop to your forms and talk to them: "I would like to add a new customer." Built as a custom module, so roles and permissions decide what the agent may do.	Open Source — free
[Conversation Form](examples/conversation-form)	Conversational, your own UI. A chat application whose questions come entirely from a form. About 200 lines, no field names in the code — edit the form and the conversation changes.	Open Source — free
[Agentic Workflow](examples/agentic-workflow)	Autonomous. A submission triggers an agent that scores it against a rubric and writes its decision back, which in turn triggers a second agent. No human, no chat window.	Enterprise

There is also a Flow Viewer — a small proxy that shows every leg of an agentic run live, which is the fastest way to see what an agent is actually doing.

Documentation in this repository

This file is the main reference: what the UAG is, how to configure a form for it, how to deploy it, and how to troubleshoot it. The rest of the documentation lives next to the code it describes.

Document	What it covers
README.md (this file)	Concepts, agentic workflow setup, the MCP tools, deployment, environment variables, and troubleshooting.
module/Readme.md	Building a custom module — adding your own MCP tools, form actions, pre-defined forms and resources, and configuration overrides, then mounting it into the Docker container.
integrations/claude/Readme.md	The Claude integration: its API endpoints and commands, how to run it with Node or Docker, its environment variables, and how to trigger it from a Form.io Webhook action.
examples/custom-module/Readme.md	Example — a custom module driven conversationally from Claude Desktop, where roles and permissions govern what the agent may do.
examples/conversation-form/Readme.md	Example — a chat application of your own whose questions come entirely from a form.
examples/agentic-workflow/Readme.md	Example — an autonomous, webhook-triggered workflow with two chained agent personas.
examples/flow-viewer/Readme.md	A small proxy that shows every leg of an agentic run live — the token request, each tool call, and the write-back. The quickest way to see what an agent is doing.
examples/custom-module/module/templates/Readme.md	Overriding the response templates the UAG returns to the agent, using Lodash templates.
test/e2e/Readme.md	The end-to-end test suite — its three layers, what each covers, and how to run it.

Agentic Workflows

One of the more powerful features of the UAG is the agent_provide_data tool. This tool provides the ability to instruct a generically trained agent how to analyze existing submission data, and then produce its own data by following a configurable Criteria. This behavior historically could only be achieved using a specifically trained agent, which does not provide any benefits of dynamic configurability that the Form.io platform offers. This tool is able to achieve this goal by providing a generally trained agent with the necessary "context" it needs to accurately produce its own data as part of an automated workflow. This feature is particularly helpful if you wish to utilize the UAG within an Agentic Workflow, where the AI Agent is capable of understanding structured data, and then contribute its own data by following the configured Criteria "context" provided by the UAG.

For example, let's suppose you wish to automate the backend administration behind a College Application Process. In this example, a potential student submits an application that consists of many different fields of data, such as Academics, Extra curricular activities, Honors, Volunteer work, as well as possibly written Essays. Historically, these applications would be reviewed by an administrator in order to assess the candidates qualifications for acceptance. With the agent_provide_data tool, it is now possible to automate this process as the following diagram illustrates.

To achieve this feat, the agent_provide_data tool utilizes the following information, which is then fed to the Generally trained agent to produce its own submission data.

Existing Submission Data: In order for the agent to be able to contribute its own data, it must first have an existing submission to be used as the data that it will analyze according to the configured Criteria.
Criteria: This is a piece of content that provides the agent the Criteria to follow when analyzing the data, but also provides instructions on how the agent should populate the Required Fields.
Required Fields: These are the form fields which the Agent is required to fill out as part of the agent_provide_data process.

Setup

To configure a form to use the agent_provide_data tool, you must first designate a section of your form that will be read and used by the AI Agent. This is similar to what you would see in a form that says "For Office Use Only", but instead of a Human contributing to the values of this section, it will be an automated AI Agent. There are two types of fields that can be added to a form to configure it for use by the agent_provide_data tool: Criteria and Agent Fields

A complete setup is four steps, and all four are required:

Tag the form `uag` (described below) — without this the UAG will not register the form at all.
Add the Criteria content component that teaches the agent what to do.
Add the Agent Fields the agent is allowed to fill.
Add a Webhook action to trigger the agent on submission — see the Claude Integration. This step requires the Enterprise Server, because the action has to set a request header and transform its payload; on Community Edition, trigger the integration from your own code after creating the submission.

For a working reference containing all four, see the Agentic Workflow example.

Tagging the form `uag`

The UAG only registers forms that carry the uag tag. Any form without it is invisible to every agent and to every tool, including get_forms. In the Form Builder this is set under Form Settings → Tags; in a form's JSON it looks like this:

"tags": ["uag"]

This is worth checking first whenever an agent insists that a form does not exist, because a missing tag produces no error anywhere — the form simply is not there as far as the agent is concerned. Note also that newly tagged forms are picked up on the next project cache expiry, so allow up to PROJECT_TTL seconds (see Project Cache and TTL).

Agent "Criteria" component

The first thing that needs to be configured is a special Content Component that instructs the AI Agent how to interpret the data. For example, here is a Criteria content block that was written to instruct an AI Agent on how to assess the submission of a College Application Essay.

The goal of this content is to be written as you would write an instruction manual for a new employee who needs to learn how to analyze and understand the submission data that is provided. It is also used to instruct the AI Agent on how to populate the form values that are configured for that criteria. Once this criteria is written, It will then need to be "flagged" as a UAG field by adding a property called uag and the value of that property is to be t

Only the beginning is shown; read the rest in the repo

Formio Uag

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Safe Fetch

README from the maker

Try it out!

Documentation in this repository

Agentic Workflows

Setup

Tagging the form uag

Agent "Criteria" component

Tagging the form `uag`