MCP Server Setup Guide
A guide on how to connect the Datastreamer MCP server, and access the Agent tools available.
How to connect the Datastreamer MCP Server
MCP or "Model Context Protocol" is a protocol to allow systems and agents to easily interact. Datastreamer provides a number of Agent-ready tools to support product features. This guide will walk you through the connection of your systems to your data pipelines via MCP.
1. Requirements for your MCP Client
To access the Datastreamer MCP server, your MCP client must meet the following requirements:
- Register an MCP Server using
HTTP
transport type.- We do not support
stdio
communication.
- We do not support
- Be able to include a long‑lived API key in a custom header called
apikey
- Your MCP Client should be able to support Tools.
If you do not have a MCP Client, a list of applications that support MCP integrations is available here: https://modelcontextprotocol.io/clients
2. Connecting Datastreamer's MCP Server to your MCP Client
Most MCP Clients allow you to configure servers in a JSON or YAML file.
Configuring using JSON
Below is a generic JSON example (adjust the syntax depending on your MCP client).
{
"servers": [
{
"name": "mcp-server-datastreamer",
"transport": "http",
"url": "https://mcp.platform.datastreamer.io",
"headers": {
"apikey": "<YOUR_LONG_LIVED_API_KEY>"
}
}
]
}
How to get your API keyThe API Key can be generated within the Datastreamer Portal, on Keys & Secrets page.
Custom Client
If you are writing your own client, you can follow the MCP protocol standards at: https://modelcontextprotocol.io/, you will need to have the following as a minimum:
- Your client must use standard HTTP requests,
- You must include the
apikey
header. - The base URL is: https://mcp.platform.datastreamer.io
Updated about 12 hours ago