> For the complete documentation index, see [llms.txt](https://docs.talordata.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.talordata.com/serp-api/integration/mcp-integration/nvidia-nemo-agent-toolkit-integration.md).

# NVIDIA NeMo Agent Toolkit Integration

Connect the NVIDIA NeMo Agent Toolkit to the TalorData MCP server (60+ tools) to provide NeMo agents with web search, scraping, and structured data capabilities.

### Overview

The NVIDIA NeMo Agent Toolkit is an open-source framework for building, analyzing, and optimizing AI agents and workflows. It features a framework-agnostic architecture, YAML-based configuration, built-in MCP support, and unified monitoring across multi-agent systems.

### Hosted MCP

{% stepper %}
{% step %}

#### Get your API token

* Go to [SERP API-API Token](https://dashboard.talordata.com/scraping/serp-api/api-token/) to create an API Token;
* Copy your API Token (format as: `sk_7qBRe***************************`）
  {% endstep %}

{% step %}

#### Install the NeMo Agent Toolkit

```
pip install nvidia-nat[mcp]
```

{% endstep %}

{% step %}

#### Create workflow configuration

Create one named: `talordata-mcp-config.yml`

```
function_groups:
  talordata_web:
    _type: mcp_client
    server:
      transport: streamable-http
      url: "https://mcp.talordata.com/YOUR_talordata_API_TOKEN/mcp"
    tool_call_timeout: 120  # Increase timeout for web requests
    auth_flow_timeout: 300
    reconnect_enabled: true
    reconnect_max_attempts: 3


llms:
  nim_llm:
    _type: nim
    model_name: "meta/llama-3.1-8b-instruct"
    temperature: 0.0
    api_key: "${env:NVIDIA_API_KEY}"

workflow:
  _type: react_agent
  tool_names:
    - talordata_web
  llm_name: nim_llm
  max_iterations: 10
  verbose: true
```

{% hint style="info" %}
Replace `YOUR_talordata_API_TOKEN` with the actual token you obtained in the first step.
{% endhint %}

{% endstep %}

{% step %}

#### Set environment variables

```
# Set your NVIDIA API key (for NIM or NGC)
export NVIDIA_API_KEY="your-nvidia-api-key"
```

{% endstep %}

{% step %}

#### Verify MCP connection

Testing the connection to the TalorData MCP server:

```
nat mcp client ping --url "https://mcp.talordata.com/YOUR_talordata_API_TOKEN/mcp"
```

Expected output:

```
Successfully connected to MCP server
Server version: 1.0
Available tools: 15
```

{% endstep %}

{% step %}

#### List of available tools

Check the tools provided by TalorData MCP:

```
nat mcp client tool list --url "https://mcp.talordata.com/YOUR_TOKEN/mcp"
```

{% endstep %}

{% step %}

#### Run your first agent

Execute workflow by querying:

```
nat run --config_file talordata-mcp-config.yml \
  --input "Search for the latest NVIDIA GPU releases and extract their specifications"
```

The agent will use TalorData's web scraping tools to search for and extract information.
{% endstep %}
{% endstepper %}