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For Developer

Follow the instructions below to integrate GitHub MCP server to your AI application using our API or SDK.

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Prerequisites

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1. Create a GitHub MCP Server

Use the following endpoint to create a new remote GitHub MCP server instance:

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Request

from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

klavis_client = Klavis(api_key="<YOUR_API_KEY>")

# Create a GitHub MCP server instance
github_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.GITHUB,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

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Response

{
  "serverUrl": "https://github-mcp-server.klavis.ai/mcp/?instance_id=<instance-id>",
  "instanceId": "<instance-id>",
  "oauthUrl": "https://api.klavis.ai/oauth/github/authorize?instance_id=<instance-id>"
}
serverUrl specifies the endpoint of the GitHub MCP server, which you can connect with the MCP client of your application.
instanceId is used for authentication and identification of your server instance. After you complete the next steps, this token allows the MCP server to access user’s private GitHub information.

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2. Implement OAuth Authorization

Redirect users to the OAuth authorization flow:

import webbrowser

webbrowser.open(github_server.oauth_url)

You can also specify scope and redirect_url in the authUrl, and we also support white-label. Check the API reference for more details.

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Watch the Example

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