INDIVIDUAL MCP TOOL

get_agent

Get one agent's configuration: its full instructions, greeting, knowledge sources, whether its lead form is on, conversation and lead totals, its publishUrl, where the owner previews and publishes it in Agent One, and, when it's published, the embed snippet for adding it to an existing website.

agnt.onenone authenticationAvailability not checked

LIVE ENDPOINT

https://app.agnt.one/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_agent and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

A tool name or description suggests retrieving external content.

Parent server

agnt.one

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agent-one]
url = "https://app.agnt.one/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "agent-one": {
      "type": "http",
      "url": "https://app.agnt.one/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: agent-one
Remote MCP URL: https://app.agnt.one/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "agent-one": {
      "url": "https://app.agnt.one/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "agent-one": {
      "type": "http",
      "url": "https://app.agnt.one/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "agent-one",
  "transport": "streamable-http",
  "url": "https://app.agnt.one/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

get_profile — Return the Agent One account connected through this link.
list_agents — List the AI agents in the connected Agent One account with their IDs, whether each is published, its site (name and ID), its public page URL when published, and its publishUrl, where the owner previews and publishes it in Agent One.
list_conversations — List recent conversations between visitors and the account's agents, newest first, with a preview of the latest message.
get_conversation — Read the transcript of one visitor conversation (up to 200 messages), including which answers the visitor liked or disliked.
list_leads — List leads that visitors submitted through the account's agent lead forms, newest first, with the form answers (such as name and email), the page they were on, and the related conversation ID when known.
get_agent_insights — Summarize how one agent performed over the last N days: conversation, visitor message, lead, and handoff counts; like/dislike feedback; the opening question of recent conversations; and recent answers visitors disliked with the question that prompted them.
create_agent — Use this when the user wants information from the conversation turned into an AI agent that answers people's questions: making an FAQ, menu, policy, price list, or document into a chatbot or assistant, creating an AI assistant for their business, event, product, class, or listing, or making a chat assistant for their website.
update_agent_instructions — Replace a private agent's entire instructions (its system prompt) with new text.