| name | mcp-reviewweb |
| description | ReviewWeb MCP wrapper. Activate for reputation audits, review monitoring, sentiment analysis. Routes to MCP tools if available, else asks user to paste reviews for analysis. |
| allowed-tools | Read, Bash, Write |
MCP ReviewWeb Wrapper
ReviewWeb reputation monitoring integration. Bring your own MCP server.
MCP Server
Server command: npx -y @modelcontextprotocol/server-reviewweb (or community equivalent)
Required env: REVIEWWEB_API_KEY
Setup: ReviewWeb API (verify domain, generate key)
Tools exposed (when MCP configured)
| Tool | Purpose |
|---|
mcp__reviewweb__listReviews | Reviews across platforms (Google, Yelp, Trustpilot, etc.) |
mcp__reviewweb__getReviewById | Single review detail |
mcp__reviewweb__analyzeSentiment | Sentiment score (positive/neutral/negative) |
mcp__reviewweb__getTrends | Sentiment trend over time |
mcp__reviewweb__getCompetitorReviews | Competitor review data |
mcp__reviewweb__respondToReview | Post public response |
Common use patterns
Recent negative reviews
Tool: mcp__reviewweb__listReviews
Args: { sentiment: "negative", dateRange: "30days", platforms: ["google", "yelp"], limit: 20 }
Sentiment trend
Tool: mcp__reviewweb__getTrends
Args: { period: "monthly", platforms: ["google"] }
Competitor comparison
Tool: mcp__reviewweb__getCompetitorReviews
Args: { competitors: ["competitor-a.com", "competitor-b.com"], dateRange: "90days" }
Error handling
| Error | Cause | Fix |
|---|
401 Unauthorized | Invalid REVIEWWEB_API_KEY | Regenerate in ReviewWeb dashboard |
403 Forbidden | Domain not verified for review monitoring | Add + verify domain in ReviewWeb |
429 Rate Limited | Quota exceeded | Reduce request frequency, upgrade plan |
Manual Fallback (no MCP server)
If mcp__reviewweb__* tools not available:
- Ask user to paste reviews — collect from Google Business, Yelp, Trustpilot, G2, etc.
- Save to file:
plans/marketing/<campaign>/reviews-paste.md
- Analyze manually:
- Sentiment scoring (positive/neutral/negative keywords)
- Common themes (recurring complaints, praise)
- Urgency (mentions of churn, support tickets, refunds)
- Generate response templates for negative reviews
Review analysis framework:
- Sentiment: 👍 positive / 😐 neutral / 👎 negative
- Theme: product / support / pricing / bugs / UX
- Urgency: low / medium / high (churn risk, public complaint)
- Response template: acknowledgment + resolution + escalation
Cross-references
skills/marketing/customer-research/SKILL.md — customer research methodologyskills/marketing/cro/SKILL.md — review-driven conversion optimization.claude/workflows/automation-rules.md — privacy (PII redaction in pasted reviews)
