Learning Resources
zotta.ai
Provides tools for retrieving public Zotta LMS overview information, asking product questions, and preparing demo requests for human review.
ENDPOINT 1
https://zotta.ai
MCP server metadata
- Name
- WebMCP
Known tools 3
read_zotta_overviewReturn a concise, public overview of Zotta LMS and its agent-readable discovery URLs.
Inferred read-onlyask_zotta_public_questionAsk the public Zotta landing assistant a non-sensitive product question.
Inferred read-onlyprepare_zotta_demo_requestStructure a human-reviewed demo request for Zotta LMS without submitting it automatically.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.webmcp]
url = "https://zotta.ai"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"webmcp": {
"type": "http",
"url": "https://zotta.ai"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: webmcp
Remote MCP URL: https://zotta.ai
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"webmcp": {
"url": "https://zotta.ai"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"webmcp": {
"type": "http",
"url": "https://zotta.ai"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "webmcp",
"transport": "streamable-http",
"url": "https://zotta.ai"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.