Learning Resources
goodebot.net
Serves educational articles and resources for Goodebot, VEX V5 robotics, and programming topics.
ENDPOINT 1
https://goodebot.net/mcp
MCP server metadata
- Name
- goodebot-public-knowledge
- Version
- 1.0.0
Known tools 3
search_goodebot_learnSearch public Goodebot Learn articles for a VEX V5, robotics, programming, troubleshooting, Goodecode, or Goodebot topic.
Inferred read-onlyget_goodebot_articleRetrieve the complete structured content of one public Goodebot Learn article by its canonical slug.
Inferred read-onlylist_goodebot_resourcesList Goodebot's public browser tools and current release/download metadata.
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.goodebot-public-knowledge]
url = "https://goodebot.net/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"goodebot-public-knowledge": {
"type": "http",
"url": "https://goodebot.net/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: goodebot-public-knowledge
Remote MCP URL: https://goodebot.net/mcp
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": {
"goodebot-public-knowledge": {
"url": "https://goodebot.net/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"goodebot-public-knowledge": {
"type": "http",
"url": "https://goodebot.net/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "goodebot-public-knowledge",
"transport": "streamable-http",
"url": "https://goodebot.net/mcp"
}
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.