text stringlengths 0 59.1k |
|---|
[Vegetarian] [Vegan] [Gluten-free] |
[Contains nuts] [Quick: under 30 min] |
Always include: |
- Difficulty level |
- Serving size adjustments |
- Common mistakes to avoid |
- Pairing suggestions`, |
model: openai("gpt-4o-mini"), |
tools: await mcpConfig.getTools(), |
}); |
// Create logger |
const logger = createPinoLogger({ |
name: "with-mcp", |
level: "info", |
}); |
new VoltAgent({ |
agents: { |
agent, |
}, |
logger, |
}); |
``` |
## How This AI Agent Works |
**1. MCP Integration**: The recipe AI agent leverages MCP to connect with Exa's search API, enabling access to vast recipe databases and culinary knowledge. |
**2. Intelligent Analysis**: Your AI agent analyzes available ingredients and cooking constraints to find the most suitable recipes in real-time. |
**3. Personalization**: The agent adapts recommendations based on dietary preferences, cooking skill level, and time constraints. |
**4. Comprehensive Output**: This AI agent provides not just recipes but complete cooking guidance including tips, substitutions, and nutritional information. |
## Learn More |
- [MCP Documentation](https://voltagent.dev/docs/getting-started/mcp-docs-server/) |
- [VoltAgent Core Documentation](https://voltagent.dev/docs/) |
- [Exa API Documentation](https://docs.exa.ai) |
<|endoftext|> |
# source: VoltAgent__voltagent/website/recipes/youtube-to-blog.md type: docs |
--- |
id: youtube-to-blog |
slug: youtube-blog-agent |
title: YouTube to Blog Agent |
description: Convert YouTube videos into Markdown blog posts with VoltAgent and MCP. |
repository: https://github.com/VoltAgent/voltagent/tree/main/examples/with-youtube-to-blog |
--- |
This VoltAgent example to show how a supervisor coordinates subagents that depend on [MCP tools](https://voltagent.dev/docs/agents/tools/#mcp-model-context-protocol), shared [working memory](https://voltagent.dev/docs/agents/memory/overview/), and [VoltOps LLM observability](https://console.voltagent.dev/). The supervi... |
Here is what the Agent does: |
- Loads YouTube tooling over MCP with Server-Sent Events |
- Delegates transcript retrieval and writing to two focused agents |
- Stores transcript context in LibSQL-backed working memory |
- Records execution traces through the VoltOps observability adapter |
- Serves every agent through VoltAgent’s Hono server integration |
### Setup |
<Info title="Before you begin, prepare these accounts and services:"> |
- VoltOps LLM Observability account at [console.voltagent.dev](https://console.voltagent.dev/login) |
- OpenAI API key from [platform.openai.com](https://platform.openai.com/api-keys) |
- Access to a [YouTube MCP server](https://smithery.ai/server/@jkawamoto/mcp-youtube-transcript). Community servers may throttle requests, so keep an alternate provider ready. |
</Info> |
#### Get the example code |
I use the VoltAgent CLI to scaffold the project: |
```bash |
npm create voltagent-app@latest -- --example with-youtube-to-blog |
cd with-youtube-to-blog |
``` |
You can browse the full source on GitHub in the [`examples/with-youtube-to-blog`](https://github.com/VoltAgent/voltagent/tree/main/examples/with-youtube-to-blog) directory. |
#### Configure environment variables |
Create or copy a `.env` file with the required credentials: |
```env |
# OpenAI Configuration |
OPENAI_API_KEY=your_openai_api_key |
# MCP Provider Configuration |
YOUTUBE_MCP_URL=https://your-youtube-mcp-host/sse |
# VoltOps Observability (optional) |
VOLTAGENT_PUBLIC_KEY=your_public_key |
VOLTAGENT_SECRET_KEY=your_secret_key |
``` |
If you self-host VoltOps or LibSQL, add connection variables such as `LIBSQL_DATABASE_URL` and `LIBSQL_AUTH_TOKEN`. Without extra configuration the LibSQL adapters create local SQLite files inside the project directory. |
#### Start the development server |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.