origo-mcp
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., "@origo-mcpcreate a new student record for Jane Smith"
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.
origo-mcp
An MCP (Model Context Protocol) server that gives an AI agent (Claude, or
any other MCP-compatible client) full administrator-level control of the
Origo Abroad platform, by wrapping origo_backend's /admin, /crm, and
/auth REST API as MCP tools.
It authenticates once as an admin/manager/staff account, caches the JWT, and automatically re-authenticates if the token expires. It runs locally over stdio, so it can be plugged straight into Claude Desktop, Cowork, or any other MCP client config.
What it covers
56 tools spanning: students (create/update/delete/notes & tasks),
staff assignments, applications, CRM leads & consultations, loans
(applications and product catalogue), scholarship applications, users &
roles, management hierarchy, student-deletion approvals, referral codes,
and the analytics/reporting endpoint. A generic admin_api_request
fallback tool covers anything not wrapped by a dedicated tool, so new
backend endpoints remain reachable without a server update.
Related MCP server: mendix-mcp-server
Setup
pip install -r requirements.txt
cp .env.example .env # then fill in your valuesRequired environment variables (see .env.example):
ORIGO_API_BASE_URL— yourorigo_backenddeployment URL, e.g. the Render service URL (no trailing slash).Either
ORIGO_ADMIN_EMAIL+ORIGO_ADMIN_PASSWORD(recommended — the server logs in and auto-refreshes on expiry), or a pre-issuedORIGO_ADMIN_TOKEN.
The account you authenticate with determines what the agent can see and
do: an admin account has unrestricted access; cluster_manager,
manager, and staff accounts are scoped to their reporting hierarchy,
same as when they log into the dashboard directly.
Run directly:
python origo_mcp_server.pyConnecting it to Claude Desktop / Cowork
Add to your MCP client's server config (e.g. claude_desktop_config.json):
{
"mcpServers": {
"origo-admin": {
"command": "python",
"args": ["/absolute/path/to/origo_mcp_server.py"],
"env": {
"ORIGO_API_BASE_URL": "https://your-backend.onrender.com",
"ORIGO_ADMIN_EMAIL": "you@origoabroad.com",
"ORIGO_ADMIN_PASSWORD": "your-password"
}
}
}
}Safety notes
delete_student,delete_user, andapprove_deletion_requestare irreversible. The tool descriptions flag this so agents confirm intent before calling them, but there is no server-side undo.The server only ever holds one bearer token in memory (not persisted to disk); credentials live in your environment/config, not in this repo.
Every action is subject to the same role-based access control as the dashboard itself — the MCP server does not bypass
origo_backend's permission checks, it just calls the same API a logged-in staff member would.
Extending it
Each tool is a thin wrapper: a Python function decorated with @mcp.tool()
that calls _call(method, path, params=..., json_body=...). To add
coverage for a new backend endpoint, either add a small dedicated wrapper
next to the related tools, or just call it via admin_api_request until
you do.
This server cannot be deployed
Maintenance
Related MCP Connectors
- mcp-serverOAuthcom.make
Give your AI agents the tools to build, manage, and run automation workflows.
Free public MCP for AI agents — 193 tools, 44 workflows. No API key.
Your org's AI agents, tasks, runs, search, and brain files as MCP tools and resources.
Let AI agents query data and act across all your business apps via MCP.
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