- NPS Intelligence By Customergauge
NPS Intelligence By Customergauge
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NPS Intelligence — MCP
Public Net Promoter Score (NPS) disclosures · Live, citable, in Claude
A remote MCP server that lets Claude (and any other MCP-aware client) query a curated database of publicly disclosed Net Promoter Score (NPS) values from named companies — with source URLs, news snippets, and pre-computed sector benchmarks across 1,000+ industries.
Try asking Claude
Tools exposed
lookup_company— every disclosed NPS for a named company, with citationssearch_disclosures— filter by sector, year range, and qualityget_sector_benchmark— pre-computed mean / median / p75 / min / max per sectorlist_coverage— what the database actually contains
Connect
Claude.ai (browser)
Settings → Connectors → Add custom connector.
https://cg-nps-mcp.adam-dorrell.workers.dev/mcp
Claude Desktop (Mac/Win)
Uses mcp-remote proxy with the /sse endpoint.
https://cg-nps-mcp.adam-dorrell.workers.dev/sse
Power users — install the skill
The MCP server ships its own instructions automatically — every client that connects gets the citation rules, tool guidance, and disclosure-bias framing without any extra install. But if you want the same rules applied locally (e.g. when working with an exported CSV), grab the skill as a markdown file:
curl -o ~/.claude/skills/cg-nps/SKILL.md https://cg-nps-mcp.adam-dorrell.workers.dev/skill
Why this is interesting
Claude doesn't know what specific companies have published about their NPS. This MCP gives it 15 years of curated public disclosures with a source URL on every row — so any answer Claude gives can be verified, and any company named is grounded in a real news article or investor document. It's the evidence layer that turns "what's a typical NPS?" from a guess into a citation.
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