Universal Agents

Official4 tools

by universalagents

Ask Universal Agents what we sell (Interplay), pricing, and FAQs; draft an intro email.

Model Context Protocol (MCP) Server: ai.universalagents/universal-agents

The MCP server ai.universalagents/universal-agents answers “what we sell” questions for Interplay, provides pricing and FAQs, and drafts an introductory email. The server is described as querying Universal Agents to generate these content types based on the user’s request.

🛠️ Key Features

Asks Universal Agents about Interplay offerings (“what we sell”)
Provides pricing information
Responds with FAQs
Drafts an intro email

🚀 Use Cases

Sales/support Q&A for what Interplay sells
Pricing and FAQ retrieval
Generating a first outreach email introduction

⚡ Developer Benefits

Centralizes content generation for sales, pricing, and FAQs
Supports workflow drafting an intro email based on prompts

⚠️ Limitations

Scope is limited to Interplay selling questions, pricing/FAQs, and intro email drafting.

Captured live from the server via tools/list.

about_universal_agents

What Universal Agents sells (Interplay: the brain, the playbook, Living Blocks, the universal agent), how an engagement starts, and who it is for.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

get_pricing

Universal Agents pricing: the paid pilot, the cost to continue rollout, and licensing and support.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

answer_faq

Answers common questions about Universal Agents: agent readiness, working with teams, industries, timeline, what makes us different, data safety, adoption. Omit the question to get all of them.

Parameters1

question

string

optional

The question or a keyword, e.g. "data" or "how long".

Raw schema

{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "description": "The question or a keyword, e.g. \"data\" or \"how long\"."
    }
  }
}

request_intro

Drafts an intro email to Universal Agents for the person you are helping, with a mailto link they can send. Sends nothing itself.

Parameters4

name	string	optional	Their name.
agency	string	optional	Their agency.
size	string	optional	Roughly how many people.
goal	string	optional	What they want AI to change.

Raw schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Their name."
    },
    "agency": {
      "type": "string",
      "description": "Their agency."
    },
    "size": {
      "type": "string",
      "description": "Roughly how many people."
    },
    "goal": {
      "type": "string",
      "description": "What they want AI to change."
    }
  }
}

Install

Tools (4)

about_universal_agentsget_pricinganswer_faqrequest_intro

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://universalagents.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "universal-agents": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://universalagents.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

Model Context Protocol (MCP) Server: ai.universalagents/universal-agents

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

about_universal_agents

get_pricing

answer_faq

request_intro

Install

Remote endpoint

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