Scraperapi MCP Server
scraperapi-mcp-server
PyPI
v1.1.1
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
ScraperAPI MCP server
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 5 = 95. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 1
medium Untrusted input can drive an external actionMTC-FLOW-005
Untrusted-input tools ([ai_parser_create, ai_parser_parse_url, crawler_job_start, crawler_job_status, crawler_job_delete, google_search, walmart_category]) co-exist with external-action tools ([crawler_job_start]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.
Evidence: untrusted [ai_parser_create, ai_parser_parse_url, crawler_job_start, crawler_job_status, crawler_job_delete, google_search, walmart_category] → sinks [crawler_j
Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.
Location: flow ai_parser_create → crawler_job_start
Tools 27
Each tool and what it can reach — statically extracted from the published source.
crawler_job_startingests untrusted inputnetwork egressai_parser_createingests untrusted inputai_parser_parse_urlingests untrusted inputcrawler_job_deleteingests untrusted inputcrawler_job_statusingests untrusted inputgoogle_searchingests untrusted inputwalmart_categoryingests untrusted inputai_parser_deleteno sensitive capabilityai_parser_get_detailsno sensitive capabilityai_parser_listno sensitive capability
Show 17 more tools ↓
ai_parser_updateno sensitive capabilityamazon_offersno sensitive capabilityamazon_productno sensitive capabilityamazon_searchno sensitive capabilityebay_productno sensitive capabilityebay_searchno sensitive capabilitygoogle_jobsno sensitive capabilitygoogle_maps_searchno sensitive capabilitygoogle_newsno sensitive capabilitygoogle_shoppingno sensitive capabilityredfin_agentno sensitive capabilityredfin_for_rentno sensitive capabilityredfin_for_saleno sensitive capabilityredfin_searchno sensitive capabilitywalmart_productno sensitive capabilitywalmart_reviewno sensitive capabilitywalmart_searchno sensitive capability
Toxic flows 1
Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
What this scan could not see
- Tools were statically extracted from the published source (27 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.1.1 latest |
A 95/100 | 1 | 1.13.0 | 2026-08-25 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan scraperapi-mcp-server --online --registry pypiMore in Web, Search & Scraping
Agent IP: MCP server with patents search tools
MCP server for searching the Agent Almanac — the public catalog of 9,000+ Model Context Protocol servers. Find, install, and discover MCP servers from inside Claude Desktop, Cursor, Continue, Zed, or any MCP-aware agent.
Search agents & MCP servers by capability, with daily-observed pricing, liveness and market data.
Verified merchants accepting agentic payments on Lightning/L402/BOLT12/USDT — search, verify, pay.
Airframe MCP Client - Connect agents to Airframe's product intelligence
Amazon product search demand over time, with growth for any keyword. Free key at trendsmcp.ai