Agentzia

io.github.stoyan-stoyanovPublished by GitHub account stoyan-stoyanovv1.0.0Updated Oct 27, 2026

Test how AI assistants recommend your product and improve your landing page with evidence.

VerifiedStreamable HTTPWeb executableBusiness & CommerceAI & ML

Overview

AI-generated overview

Agentzia runs simulated-buyer studies with ChatGPT, Claude, Gemini and Grok to show why AI assistants recommend competitors and how to improve a landing page.

What you can do
  • Find and read existing research runs, including progress, recommendations and supporting evidence
  • Check account credits and advisory capacity before starting a study
  • Start research on a public product page or on supplied public-safe marketing copy
  • Resume eligible incomplete runs without spending another channel credit
  • Create a human payment link for buying more credits, which the person completes in their browser
When to use it
Useful when you want evidence on how AI assistants describe and recommend your product versus competitors, and want your coding agent to turn that research into concrete landing-page changes and retests.
Requirements
A remote Streamable HTTP endpoint with OAuth 2.1 sign-in approved in a browser; an Agentzia account with credits (accounts include complimentary credits, and each selected assistant channel costs one credit). Works with any OAuth-capable Streamable HTTP client, or via the provided plugin and optional workflow skill.
Before you install
Studies consume channel credits, four channels by default, and retests use the agreed budget; a checkout link is created but payment stays in the human's browser. Only submit public pages or public-safe copy: inputs and traces are processed by external research providers, so no secrets, private customer data, authenticated pages or confidential drafts. Results are observations of tested scenarios, not guaranteed rankings.

Installation

In SourceWeft

  1. Open Agentzia in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.stoyan-stoyanov%2Fagentzia/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "agentzia": {
      "type": "http",
      "url": "https://www.agentzia.dev/mcp"
    }
  }
}

README

Agentzia plugins

Agentzia simulates buyers using ChatGPT, Claude, Gemini, and Grok to investigate why AI assistants recommend competing products and what to improve on a public landing page.

This public distribution package connects your coding agent to Agentzia's hosted MCP and includes the agentzia-optimize workflow skill. The hosted application and research engine are operated separately by Morphologic AI Inc.

Endpoint: https://www.agentzia.dev/mcp
Transport: Streamable HTTP
Authentication: OAuth 2.1 with browser approval
Cost: One channel credit per selected assistant; four channels by default. Accounts include complimentary credits. See current pricing.

Install

Codex

Run in a terminal:

sh
codex plugin marketplace add https://github.com/stoyan-stoyanov/agentzia-pluginscodex plugin add agentzia@agentzia

Complete the client's OAuth sign-in when prompted, then start a fresh task if the running task has not loaded the plugin. Installing a package does not by itself authenticate your Agentzia account. See SETUP.md if tools are unavailable.

Claude Code

Run these commands inside Claude Code, one at a time:

text
/plugin marketplace add stoyan-stoyanov/agentzia-plugins/plugin install agentzia@agentzia/reload-plugins

Complete the Agentzia connection's browser sign-in when prompted. Use the client's MCP controls to authenticate or reconnect the plugin-provided server.

Cursor

The repository includes both an Agent Plugins manifest and a Cursor plugin manifest. For immediate MCP-only setup, add this to your project's .cursor/mcp.json and complete authentication in Cursor's MCP settings:

json
{  "mcpServers": {    "agentzia": {      "url": "https://www.agentzia.dev/mcp"    }  }}

Install the optional workflow skill separately using the skills command below. Public marketplace review is separate from direct installation.

Gemini CLI

sh
gemini extensions install https://github.com/stoyan-stoyanov/agentzia-plugins

The extension declares the remote MCP connection. Complete the client's MCP authentication and reload/start a session as required by your installed version.

Portable Agent Plugins

plugin.json and mcp.json implement the Agent Plugins 1.0 format for compatible clients, including clients that support skills plus remote MCP. Follow your client's plugin installation and OAuth flow.

Skill only

If Agentzia is already connected:

sh
npx skills add https://github.com/stoyan-stoyanov/agentzia-plugins --skill agentzia-optimize

The skill teaches the analyze, improve, and retest workflow. It does not install or authenticate the MCP connection by itself. OpenClaw users can use the same skill with their client's supported remote-MCP connection path.

MCP only

Any OAuth-capable Streamable HTTP client can connect directly, without this package. For example:

sh
codex mcp add agentzia --url https://www.agentzia.dev/mcpcodex mcp login agentzia

Use either the plugin connection or a direct connection to avoid duplicate tool sets. Client setup and troubleshooting.

Try it

  • “Read my existing Agentzia report and explain the strongest evidence behind its recommendations.”
  • “Analyze this public landing page with Agentzia. Use ChatGPT and Claude, with a budget of two channel credits.”
  • “Use this Agentzia report to improve my landing page. Show which evidence supports each change; don't retest yet.”

The workflow checks existing research and credits, runs the requested study, reads compact results and supporting evidence, and helps your coding agent make changes. Retests use the user's agreed credit budget. Purchases remain in the human's browser.

Tools supplied by the hosted service

ToolPurpose
list_runsFind existing research before starting another study.
get_creditsCheck credits and advisory capacity.
analyze_urlStart research on a public product page.
analyze_contentTest supplied public-safe marketing copy.
get_runRead progress, recommendations, and supporting evidence.
retry_runResume eligible incomplete research without another channel credit.
create_credit_checkoutCreate a human payment link; never completes payment.

The server's current tool descriptions and documentation are the API contract. The skill adds the broader workflow without copying the full tool schemas.

Data and limitations

Submit public marketing pages or authorized public-safe copy. Inputs and traces are stored and processed by external research providers. Do not send secrets, private customer data, authenticated pages, or confidential drafts. Read the privacy policy, data handling information, and terms.

Results are observations of the tested scenarios, not guaranteed rankings or representative population estimates. Citation and reference-page checks do not establish participant visits or indexing. Incomplete coverage and comparisons between studies require care.

Maintainers

The canonical workflow skill lives in this repository. Core tool behavior stays documented and enforced by the hosted server. Update package versions and connection examples when their contracts change.

sh
python3 scripts/validate.py

Publisher materials are in docs/listing.md; server.json describes the remote service for the Official MCP Registry. There are no local MCP processes, install hooks, bundled credentials, or research-model keys in this package.

The package is MIT licensed. Hosted Agentzia access is governed by its service terms and pricing. Support: [email protected].

Source: README.md at commit 6498108

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestSep 20, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts