Brevo
CommunityThe Brevo Model Context Protocol (MCP) server enables AI assistants and applications to integrate directly with Brevo services through a standardized protocol. This implementation provides access to all Brevo APIs through AI conversations and automated workflows.
| Publisher | null |
| Repository | null |
| Language | TypeScript |
| Forks | 0 |
| Stars | 405 |
| Available tools | 0 |
| Transport type | streamable-http |
| Categories | |
| License | MIT |
- Connect tools to AI workflows
Brevo exposes MCP capabilities that can be used by compatible AI clients and agents.
- 0 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
- Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
- Open source signals
405 stars and 0 forks from the linked repository.
Installation
{
"mcpServers": {
"Brevo": {
"url": "https://mcp.brevo.com/v1/"
}
}
}Use Brevo MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Brevo is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP connects through a hosted MCP server URL in TypingMind.
Add an MCP server URL
Use this when Brevo is already hosted remotely or your team wants one shared connector that multiple users can access.
Open MCP connectors
In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.
- Open TypingMind in your browser.
- Go to Plugins.
- Open MCP connectors.
- Click Add URL.
Paste the server URL
Enter https://mcp.brevo.com/v1/ in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.
- Paste https://mcp.brevo.com/v1/ into the Server URL field.
- Enter a connection name for Brevo.
- Add a description and icon if you want it to be easier to identify.
- Add custom HTTP headers or OAuth client details if the server requires authentication.
Create the connection
Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.
- Click Create connection.
- Return to the MCP connectors list.
- Confirm the Brevo connection appears as active.
- Refresh the plugin list if the connection does not appear immediately.
Switch models without reconnecting
Start a chat with your preferred model, enable the Brevo tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.
- Start a new chat in TypingMind.
- Select the AI model you want to use.
- Enable the Brevo tools from Plugins.
- Ask the model to use the tool when needed.
- Switch to another AI model and reuse the same MCP connection.
Here is what I found using Brevo.
Frequently asked questions
What is the Brevo MCP server used for?
Brevo is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.
Can I use Brevo MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Brevo with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.
Why use Brevo MCP with TypingMind?
TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Brevo connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Brevo MCP to TypingMind?
Brevo can be connected in TypingMind by adding its hosted MCP server URL. This is useful when you want a remote MCP connection that is available from your TypingMind workspace.
What tools does Brevo MCP provide in TypingMind?
Brevo exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.
Do I need to share my API keys with TypingMind to use Brevo MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Brevo requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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