In-depth architectural comparison of the Andrea9293 MCP and Quality Screener MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Andrea9293 MCP
Developer Tools · Local stdio
Quality: 63/100 (Good) | Auth: No auth required
Quality Screener
Developer Tools · Remote HTTP/SSE
Quality: 52/100 (Good) | Auth: No auth required
Verdict Summary: Choose Andrea9293 MCP if you need specialized Developer Tools tools running via a local process. Choose Quality Screener if your workspace requires Developer Tools integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Andrea9293 MCP when:
You need dedicated capabilities in the Developer Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Andrea9293 MCP is categorized under Developer Tools and uses a local stdio subprocess. In contrast, Quality Screener belongs to Developer Tools using remote streaming HTTP/SSE transport. Select Andrea9293 MCP when you need capabilities focused on developer tools and Quality Screener when you require tools for developer tools.
Lists files in the uploads folder with size and format info
get_ui_url
Returns the Web UI URL (e.g. http://localhost:3080) — useful to open the dashboard or to locate the uploads folder from the browser
search_documents
Semantic vector search within a specific document
search_all_documents
Hybrid (full-text + vector) cross-document search
get_context_window
Returns a window of chunks around a given chunk index
search_documents_with_ai
🤖 AI-powered search using Gemini (requires `GEMINI_API_KEY`)
Quality Screener Tools (23)
auth_status
Whether a token is present and which user it authenticates as.
account_profile
The signed-in user's profile (email, username, organization).
health
API and database health check.
scores_top
Top tickers by quality score, as a `{ticker: score}` map.
scores_list
List scored tickers with optional filters.
scores_show
Full score row(s) for a single ticker.
scores_for_tickers
Current scores for a specific list of tickers, under default scoring or a saved scoring system. Unknown tickers are omitted.
scores_statistics
Min / max / average score statistics for a filtered universe.
scores_market_cap
Aggregated total market cap (USD) for a filtered universe.
score_compute
Compute custom scores from a `CustomScoreConfig`. `scoring_universe` picks the peer group (changes the scores); the other filters select rows (do not).
screen_share
Persist a `CustomScoreConfig` and return a public, copy-pasteable share link (`url`, `slug`, `created`, `view_count`). Content-addressed: an identical config returns the same link.
filters_list
Available filter values (sectors, industries, countries, currencies, exchanges).