General Tools
getriff.ai
Provides access to Riff's verified product knowledge base through questions, topic listing, overview, search, and fetching answers.
ENDPOINT 1
https://api.getriff.ai/api/mcp/riff
MCP server metadata
- Name
- Riff Product Expert
- Version
- 1.0.0
Known tools 6
get_overviewGet an overview of Riff including product description, knowledge base stats, and contact info.
Inferred read-onlyfetchFetch the full verified answer for a specific question from Riff's knowledge base.
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.riff-product-expert]
url = "https://api.getriff.ai/api/mcp/riff"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"riff-product-expert": {
"type": "http",
"url": "https://api.getriff.ai/api/mcp/riff"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: riff-product-expert
Remote MCP URL: https://api.getriff.ai/api/mcp/riff
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": {
"riff-product-expert": {
"url": "https://api.getriff.ai/api/mcp/riff"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"riff-product-expert": {
"type": "http",
"url": "https://api.getriff.ai/api/mcp/riff"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "riff-product-expert",
"transport": "streamable-http",
"url": "https://api.getriff.ai/api/mcp/riff"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for getriff.ai was fetched 2026-08-24T07:36:16.550Z.
getriff.ai is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.