mcp-hevo-service
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-hevo-servicelist all active pipelines"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-hevo-service
A read-only MCP server for the Hevo Data public API (v2.0).
Self-hosted: your API credentials stay on your machine and never reach a third party.
Exposes monitoring/inspection tools over pipelines, objects, destinations, models and
workflows. Every tool maps to a GET endpoint, so the server cannot mutate Hevo state.
Quick start
git clone <this-repo>
cd mcp-hevo-service
pip install -r requirements.txt
cp .env.template .env # then fill in your credentialsRelated MCP server: xendit-mcp
Configuration
Generate an API Key + Secret in Hevo (Account Settings > API) and set them in .env:
Variable | Description |
| API key (used as the Basic-auth username). |
| API secret (used as the Basic-auth password). |
| One of |
Verify
python test_connection.pyConfirms the credentials authenticate against GET /pipelines. No MCP client needed.
Register in an MCP client
{
"mcpServers": {
"hevo": {
"command": "/path/to/python3",
"args": ["/path/to/mcp-hevo-service/server.py"]
}
}
}Tools
All tools are read-only (GET).
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Security
Read-only by construction: the client only issues
GETrequests and no write tool is registered. There is no way to start/pause/edit a pipeline through this server.Credentials are read from
.env(gitignored) and sent as HTTP Basic auth directly to Hevo. They are not logged and never leave your host.
Notes
Auth and endpoints follow the official Hevo API docs.
Pagination uses limit + starting_after where supported (see per-tool descriptions).
This server cannot be deployed
Maintenance
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