How should reviewradar-mcp be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

reviewradar-mcp answer-first brief

ReviewRadar MCP server for app review ingestion and analysis ReviewRadar Turn raw app-store feedback into prioritized product intelligence. ReviewRadar is an MCP server that ingests mobile reviews, indexes them, and produces actionable issue insights for teams shipping fast. Why ReviewRadar - Collects reviews from Google Play and Apple App Store pipelines. - Blends deterministic rules with optional LLM analysis for stable, explainabl Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

reviewradar-mcp is best for general automation workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB MCP, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Agent DossierGitHubSafety: 89/100

reviewradar-mcp

MCPself-declared

Public facts

Change events

Artifacts

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Abhishekdubey331

Artifacts

Benchmarks

Last release

1.0.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/abhishekdubey331/ReviewRadar.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Abhishekdubey331

profilemedium

Observed Feb 25, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

MCP

contractmedium

Observed Feb 25, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

text

App Stores -> Scrape/Import -> Vector + Metadata Storage -> Analysis Engine -> MCP Tools -> IDE/Agent Client

bash

git clone https://github.com/<your-org-or-user>/ReviewRadar.git
cd ReviewRadar
npm install
cp .env.example .env

env

APP_LINK=https://play.google.com/store/apps/details?id=com.example.app
SUPPORT_BRAND_NAME=your app
OPENAI_API_KEY=sk-...       # required for analysis + embeddings/search

bash

npm run scrape
npm run build
npm start

bash

node /absolute/path/to/ReviewRadar/dist/index.js

bash

npm run lint
npm run test
npm run verify
npm run build

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

ReviewRadar

Turn raw app-store feedback into prioritized product intelligence. ReviewRadar is an MCP server that ingests mobile reviews, indexes them, and produces actionable issue insights for teams shipping fast.

Why ReviewRadar

Collects reviews from Google Play and Apple App Store pipelines.
Blends deterministic rules with optional LLM analysis for stable, explainable results.
Redacts PII before LLM calls.
Detects business-critical (P0/P1) alerts early via reviews_get_critical_alerts.
Enables semantic search, trend analysis, prioritization, and export-ready summaries.

What You Get

Ingestion + indexing: import reviews and persist searchable vector artifacts.
Fast triage: identify top issues, spikes, and ownership areas.
Time-aware insights: compare windows and monitor trend movement.
Delivery-ready outputs: produce markdown/Jira-friendly reporting payloads.
Broader issue taxonomy: Bug, Performance, UX, Account/Auth, Payments/Transactions, Billing/Pricing, Trust/Fraud, Support/Service, Cancellation/Retention, Data/Sync, Safety Concern, Feature Request, Praise.

Architecture At A Glance

App Stores -> Scrape/Import -> Vector + Metadata Storage -> Analysis Engine -> MCP Tools -> IDE/Agent Client

Primary storage artifacts:

storage/vector_index.json
storage/metadata.json

Quick Start

git clone https://github.com/<your-org-or-user>/ReviewRadar.git
cd ReviewRadar
npm install
cp .env.example .env

Set minimum required environment variables:

APP_LINK=https://play.google.com/store/apps/details?id=com.example.app
SUPPORT_BRAND_NAME=your app
OPENAI_API_KEY=sk-...       # required for analysis + embeddings/search

Current provider support: OpenAI only.

Run end-to-end:

npm run scrape
npm run build
npm start

Connect As MCP Server

Entrypoint:

node /absolute/path/to/ReviewRadar/dist/index.js

Use that command in your MCP client config (Cursor/other MCP-compatible clients).

Tooling Surface

Full tool-by-tool details (purpose, sample prompt, expected output) are documented here:

Tooling Surface Guide

PM Prompt Cookbook

Use natural language. You do not need to reference MCP tool names. For PM summary asks (top pain points/counts/severity), prefer reviews_top_issues flows over parsing raw reviews_analyze output.

Import the latest app reviews and tell me if the data is ready for analysis.
What are the most critical customer issues right now that need immediate escalation?
Give me the top customer pain points this week with counts and severity.
Compare this week vs last week and tell me what got worse or better.
Show me trends over the last 8 weeks and call out rising problems.
Did any issue spike recently? Tell me what likely caused it.
Prioritize the top 10 issues for next sprint and explain why.
Which app versions or platforms are causing the most complaints?
Map current issues to likely owning teams and flag anything unowned.
Generate a PM weekly report I can paste to leadership.
Show me the full review text behind the "Unknown (unclassified issues)" cluster for the last 30 days.

Development

npm run lint
npm run test
npm run verify
npm run build

Additional docs:

Setup: docs/setup_guide.md
Architecture: docs/architecture.md
Testing standards: docs/testing_guidelines.md
Contribution process: CONTRIBUTING.md
Security policy: SECURITY.md

Roadmap Ideas

Provider-agnostic embeddings
Dashboard-ready trend API outputs
Expanded issue taxonomy and auto-clustering

License

MIT. See LICENSE.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB MCP

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/contract"

curl -s "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Structured website and review evidence for AI-assisted local-business shortlisting.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-10-10T03:06:11.207Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Abhishekdubey331",
    "href": "https://github.com/abhishekdubey331/ReviewRadar",
    "sourceUrl": "https://github.com/abhishekdubey331/ReviewRadar",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:13:41.570Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T03:13:41.570Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-abhishekdubey331-reviewradar/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]