Question 1

What is Relevance AI MCP for Llama?

Accepted Answer

It is a Model Context Protocol server that connects Relevance AI agents and workflows to your Llama-based chat client, letting you trigger tools, run pipelines, and fetch results directly within a conversation.

Question 2

How do I configure the connector in Ravenala?

Accepted Answer

Install or enable the MCP server, add it to your MCP-compatible client, then provide your Relevance AI API key and workspace details. Test the connection and the client will list available agents and workflows.

Question 3

Can I run Relevance AI agents inside chats?

Accepted Answer

Yes. You can call agents from messages, pass parameters, stream progress where supported, and receive structured outputs or files back in the chat.

Question 4

What benefits does this integration provide?

Accepted Answer

It reduces context switching, standardizes tool use, enables auditable automation, speeds up data processing, and brings your existing Relevance AI workflows into natural chat flows.

Question 5

Does it support real-time workflow execution?

Accepted Answer

Yes. You can trigger synchronous runs for quick tasks, receive streaming logs where available, and view final results inline once the workflow completes.

Question 6

Which Llama models are supported?

Accepted Answer

The connector is model-agnostic. If your client supports the model via MCP, you can use it, including different Llama versions and sizes.

Question 7

How is my data secured?

Accepted Answer

Credentials are transmitted over TLS, stored securely by your client where possible, and access is governed by your Relevance AI workspace roles. Use least-privilege keys and rotate them regularly.

Question 8

Can teams share workflows and agents?

Accepted Answer

Yes. Teams can share workflows and agents via Relevance AI workspace permissions, allowing consistent automations while preserving role-based access control.

Question 9

How do I fix connector issues?

Accepted Answer

Verify your API key and workspace ID, check network connectivity and proxies, ensure server and client versions are compatible, re-authenticate, and review client and server logs for errors.

Question 10

How does pricing work for this integration?

Accepted Answer

You typically pay standard Relevance AI usage for workflow runs and your model provider or platform fees for Llama usage. The connector itself usually has no extra charge; check your plan.

Connect Relevance AI to Llama (Meta) to unlock the power of AI automation

Relevance AI MCP tools

ai-run-tool

ai-message-agent

Relevance AI connector for other AI models (LLMs)

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