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Flow AI Agent

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Flow AI Agent

Flow AI Agent

Developed by

Flow AI

Flow AI

Maintained by Community

Flow AI is a platform for building, deploying, and monetizing AI agents tailored for the Web3 ecosystem and their community. It enables users to gather insights from onchain and offchain data and run complex transactions.

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Pricing

Pay per event

0

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

7 days ago

You can access the Flow AI Agent programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=flow-ai/flow-ai-agent",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Flow AI Agent

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=flow-ai/flow-ai-agent along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=flow-ai/flow-ai-agent",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.