Scalekit
Scalekit Model Context Protocol (MCP) server provides comprehensive tools for managing environments, organizations, users, connections, and workspace operations. Built for developers who want to connect their AI tools to Scalekit context and capabilities based on simple natural language queries.
This MCP server enables AI assistants to interact with Scalekit’s identity and access management platform through a standardized set of tools. It provides secure, OAuth-protected access to manage environments, organizations, users, authentication connections, and more.
Features
Environment management and configuration
Organization and user management
Workspace member administration
OIDC connection setup and management
MCP server registration and configuration
Role and scope management
Admin portal link generation
Configuration
The Scalekit MCP server can be configured to support OAuth for compatible clients.
If your MCP Client doesn’t support OAuth based authorization for MCP Servers, you can still use the Scalekit MCP server with the mcp-remote acting as a local proxy to add OAuth support.
## using OAuth:
{
"servers": {
"scalekit": {
"type": "http",
"url": "https://mcp.scalekit.com/"
}
}
}
## using mcp-remote:
{
"mcpServers": {
"scalekit": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.scalekit.com/"]
}
}
}
Overview
what is Scalekit?
Scalekit is a Model Context Protocol (MCP) server designed for developers to manage environments, organizations, users, and workspace operations, enabling AI tools to connect seamlessly through natural language queries.
how to use Scalekit?
To use Scalekit, configure your MCP client to connect via OAuth or use the mcp-remote as a local proxy for OAuth support. Detailed configuration examples are provided in the documentation.
key features of Scalekit?
- Comprehensive environment management and configuration
- Organization and user management capabilities
- Workspace member administration
- OIDC connection setup and management
- Role and scope management
- Admin portal link generation
use cases of Scalekit?
- Managing user access and roles in AI applications
- Configuring environments for AI tool integration
- Facilitating secure connections for AI assistants
FAQ from Scalekit?
- What is the purpose of the Scalekit MCP server?
The Scalekit MCP server allows AI agents to interact with Scalekit's identity platform securely.
- How do I configure my client to use Scalekit?
You can configure your client to use OAuth or utilize the mcp-remote for OAuth support.
- Where can I find more information?
More information can be found in the official documentation at https://docs.scalekit.com/dev-kit/mcp/#_top.
Project Info
Created At
9 months agoUpdated At
7 months agoAuthor Name
-Star
-Language
-License
-Category
developer-tools
Homepage
https://mcp.scalekit.comRecommend Servers
View AllAmap Maps
@amap
高德地图官方 MCP Server
a year ago
Serper MCP Server
@garymengcom
A Serper MCP Server
Python
a year ago
Shotapi
@smallhandsome
a day ago
虎嗅嗅 Ai行业参谋
5 hours ago
Test
@modelcontextprotocol
test
6 months ago
Fabric
@fabric-agent-plugins
3 hours ago