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Bing CN MCP Enhanced

An MCP server optimized for Chinese users that enables AI models to perform Bing searches and fetch webpage content without requiring an API key. It provides specialized tools for searching and scraping web data directly through supported AI environments like Claude or Cursor.

→ Lynxe-public/bing-mcp-cn-enhanced· listed on glama
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// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// known CVEs in dependencies2 high1 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.10.2GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

high@modelcontextprotocol/sdk@1.10.2GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

lowaxios@1.6.5GHSA-xx6v-rp6x-q39c

Axios: XSRF Token Cross-Origin Leakage via Prototype Pollution Gadget in `withXSRFToken` Boolean Coercion

unknown@modelcontextprotocol/sdk@1.10.2GHSA-w48q-cv73-mx4w
unknownaxios@1.6.5GHSA-35jp-ww65-95wh
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// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/lynxe-public-bing-mcp-cn-enhanced-a18pwc)](https://m8ven.ai/mcp/lynxe-public-bing-mcp-cn-enhanced-a18pwc)
commit: 5d0f5837bd63dccf7dc1bb700d5121f8c896ca22
code hash: 3247eb1bda4c759cbfe4280376c46e28cf66b138d32d09c44b05fa98fb539803
verified: 6/13/2026, 10:32:02 AM
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