agentlio-market-intel-mcp

Agentlio Market Intel is a production-grade MCP server that transforms mobile app reviews into actionable product intelligence for AI agents.

It connects Google Play and App Store review data to real decision workflows such as sentiment monitoring, growth strategy, churn reduction, competitor benchmarking, and post-release risk detection.

• Fetch review data from Google Play and App Store.
• Analyze only recent reviews using incremental windows (since_date).
• Keep AI context lightweight with a model-first optimized response schema.
• Detect theme-level pain points and benchmark competitors.
• Generate growth actions directly from negative sentiment clusters.
• Use privacy-safe output with built-in PII redaction.

• AI-efficient output: returns only high-value fields (score, content, date, thumbsUp).
• Production hardening: request validation, retries, timeouts, rate limiting, and caching.
• Reliability by design: request IDs, structured behavior, and safe fallbacks.
• MCP-native integration: plug into Claude Desktop and other MCP clients.
• Modular codebase: provider fetchers, utility logic, and server orchestration are separated.

agentlio/
├── pyproject.toml
├── README.md
├── RELEASE_NOTES_v0.3.1.md
├── docs/
│   ├── claude_prompt_pack.md
│   └── claude_menu_router_prompt.md
├── src/
│   ├── __init__.py
│   ├── fetchers.py
│   ├── server.py
│   └── utils.py
└── tests/

Recommended Python version: 3.10-3.12

python -m venv .venv
source .venv/bin/activate
pip install -U pip
pip install -e .

Start server:

agentlio-market-intel

Alternative:

python -m src.server

Parameters:

• app_id (str): e.g. com.spotify.music
• country (str, default us)
• lang (str, default en)
• count (int, default 100)
• sort_by (str, default `newes