An open-source MCP (Model Context Protocol) server that enables AI agents to record and retrieve learning activities through xAPI-compliant Learning Record Stores
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add learnmcp-xapi -- python -m venv learnmcp-env~/.codex/config.toml
[mcp_servers.learnmcp-xapi]
command = "python"
args = ["-m", "venv", "learnmcp-env"]
# codex mcp add learnmcp-xapi -- python -m venv learnmcp-env~/.cursor/mcp.json
{
"mcpServers": {
"learnmcp-xapi": {
"command": "python",
"args": [
"-m",
"venv",
"learnmcp-env"
]
}
}
}.vscode/mcp.json
{
"servers": {
"learnmcp-xapi": {
"type": "stdio",
"command": "python",
"args": [
"-m",
"venv",
"learnmcp-env"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"learnmcp-xapi": {
"command": "python",
"args": [
"-m",
"venv",
"learnmcp-env"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"learnmcp-xapi": {
"command": "python",
"args": [
"-m",
"venv",
"learnmcp-env"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"learnmcp-xapi": {
"command": "python",
"args": [
"-m",
"venv",
"learnmcp-env"
]
}
}
}