Agent5ive

Agent5ive MCP Server

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7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "agent5ive-agent5ive-mcp": {
      "command": "npx",
      "args": [
        "agent5ive-mcp"
      ],
      "env": {
        "DEPLOYMENT_ID": "YOUR_DEPLOYMENT_ID"
      }
    }
  }
}

You can run and connect to the Agent5ive MCP server to control deployed Agent5ive agents from any MCP-compatible client. This server uses the Model Context Protocol to expose agent tools and capabilities through a standard MCP interface, enabling you to send messages and receive structured responses from your Agent5ive agents.

How to use

To use the Agent5ive MCP server, start it with your deployment identifier and connect from your MCP client. You will interact with the deployed agent by sending messages and receiving responses that leverage the agent’s tools.

How to install

Prerequisites you need before installation:

node --version
npm --version

Install via Smithery

npx -y @smithery/cli install @agent5ive/agent5ive-mcp

Manual installation

You can also install or run the MCP server directly using npm.

npm install -g agent5ive-mcp

Run the MCP server

Once installed, start the server by providing the Deployment ID for your Agent5ive agent. The server listens on standard input/output for MCP communication.

export DEPLOYMENT_ID="your-deployment-id"
npx agent5ive-mcp

Connecting with an MCP client

Configure your MCP client to connect to the local server. Use the following example configuration to add Agent5ive to your client's MCP server list.

{
  "mcpServers": {
    "my-agent5ive-agent": {
      "command": "npx",
      "args": [
        "agent5ive-mcp"
      ],
      "env": {
        "DEPLOYMENT_ID": "your-deployment-id"
      }
    }
  }
}

Available tools

get_agent_purpose

Retrieve details and purpose of the deployed Agent5ive agent.

interact_with_agent

Send a message to the deployed agent and optionally include conversation history to receive a response from the agent.