collegia-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., "@collegia-mcpCompute the class average and pass rate for these grades: 12, 15, 9, 14, 11"
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.
collegia-mcp
MCP server for the Collège de Bruxelles, intended for teachers: it exposes tools, resources, and prompts that make AI agents more useful for lesson preparation, grading, and administrative tasks.
It is all packaged as a Claude plugin: a single installation provides both the MCP server and the skills.
Current status: demo skeleton. One example of each primitive.
Installing the plugin
claude plugin validate .
claude plugin install . --scope localThe plugin declares the server over stdio (.mcp.json): nothing to launch by hand.
Related MCP server: Education AI MCP
Starting the standalone server (development)
uv sync
uv run collegia-mcpThe server listens on http://127.0.0.1:8000/mcp (streamable HTTP).
Environment variables: COLLEGIA_MCP_HOST, COLLEGIA_MCP_PORT, COLLEGIA_MCP_PATH.
Other useful commands:
uv run fastmcp dev src/collegia_mcp/server.py # MCP Inspector
uv run fastmcp inspect src/collegia_mcp/server.py # lister les composantsExposed components
Type | Name | Role |
Tool |
| Average, extremes, and pass rate for a series of grades. |
Resource |
| School fact sheet (contact details, grades, standard schedule). |
Prompt |
| Prepares a written assessment for a subject, a year, and a chapter. |
Skill |
| Analyzes a series of grades and writes a class council comment. |
Connecting an MCP client
{
"mcpServers": {
"collegia": {
"type": "http",
"url": "http://127.0.0.1:8000/mcp"
}
}
}This server cannot be deployed
Maintenance
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