mcp-perplexity-pro
npm
v1.3.1
Published by cfdude — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
MCP server for Perplexity API with intelligent model selection
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 − 1.2 = 99. What the published surface and source actually contain:
| Points | What was found | Category |
|---|---|---|
| −1.2 | Package runs install-time scripts MTC-SUP-010 | supply-chain |
2. Client adoption risk — 99 − 7 = 92. 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 |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
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.
In the server's implementation (`dist/claude-code-bridge.js:2`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: import { spawn } from 'child_process'; import { createServer } from 'http'; import { join, dirname } from 'path'; impor
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/claude-code-bridge.js
In the server's implementation (`dist/launcher.js:2`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: spawn, execSync } from 'child_process'; import { existsSync, statSync, readdirSync } from 'fs'; import { join, dirname }
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/launcher.js
In the server's implementation (`dist/stdio-bridge.js:14`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: import { spawn } from 'child_process'; import { join, dirname } from 'path'; import { fileURLToPath } from 'url'; const
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/stdio-bridge.js
In the server's implementation (`dist/launcher.js:172`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: dio server directly import(stdioServerPath).catch(error => { log(`Failed to load stdio server: ${error.messa
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server dist/launcher.js
"mcp-perplexity-pro" executes postinstall script(s) at install time. An install hook runs at install time; most are routine build/setup, but review what it does before trusting it.
Evidence: node -e "console.log('\\n🎉 mcp-perplexity-pro installed successfully!\\n📚 Usage: npx mcp-perplexity-pro --help\\n')"
Fix: Review the scripts; install with --ignore-scripts where possible and vet what they do.
Location: package mcp-perplexity-pro
Each tool and what it can reach — statically extracted from the published source.
ask_perplexityno sensitive capabilityasync_perplexityno sensitive capabilitychat_perplexityno sensitive capabilitycheck_async_perplexityno sensitive capabilitydelete_project_perplexityno sensitive capabilitylist_async_jobsno sensitive capabilitylist_chats_perplexityno sensitive capabilitylist_projects_perplexityno sensitive capabilitymodel_info_perplexityno sensitive capabilityread_chat_perplexityno sensitive capabilityresearch_perplexityno sensitive capabilitystorage_stats_perplexityno sensitive capabilityScan 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 |
|---|---|---|---|---|
v1.3.1 latest |
A 92/100 | 5 | 1.13.0 | 2026-09-07 |
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.
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 mcp-perplexity-pro --online
Independent packages implementing the same tool, scanned with the same engine. Compare all 3 side by side →
MCP server for Perplexity AI Pro — deep web search, follow-ups, threads and export via your browser session cookie
High-performance MCP server for Perplexity API integration with multi-threading support
FDA device & vehicle recall risk for AI agents: recall history, MAUDE trend, risk score.
Open-source MCP server exposing Agent402.Tools' catalog — 500+ strong: 400+ self-hostable tools + 100 multi-tool skill packs (security-audit, trend-analysis, structured-scrape, decode-blob, forecasting-bake-off) for AI agents — browser, web search & answe
Zero-dependency MCP server that gives AI agents a self-updating project memory in AGENTS.md. Returns merge instructions instead of mutating state, so every change is a reviewable diff.
MCP Apps UI resources and server helpers for n8n
MCP server providing comprehensive access to BookStack knowledge management system
MCP server for tracking achievements with STAR methodology