Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

HarshKumarSharma

Source: modelscope

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// key findings
⚠️
Known vulnerabilities in dependencies: 3 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.
🔐
You'll be asked for 3 credentials: GITHUB_CLIENT_SECRET, GITHUB_TOKEN, WEBHOOK_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies3 high2 low

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

high@modelcontextprotocol/sdk@1.12.0GHSA-345p-7cg4-v4c7

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

high@modelcontextprotocol/sdk@1.12.0GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.12.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

Vercel’s AI SDK's filetype whitelists can be bypassed when uploading files

lowuuid@8.3.2GHSA-w5hq-g745-h8pq

uuid: Missing buffer bounds check in v3/v5/v6 when buf is provided

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configAI_FALLBACK_MODEL
configAI_MAIN_MODELclaude-3-5-sonnet-20241022
configAI_PRD_MODELclaude-3-5-sonnet-20241022
configAI_RESEARCH_MODELperplexity-llama-3.1-sonar-large-128k-online
configCACHE_DIRECTORY
configGITHUB_CLIENT_ID
🔐 secretGITHUB_CLIENT_SECRET
configGITHUB_OWNERexport ="your_github_username_or_organization"
configGITHUB_REPOexport ="your_repository_name"
🔐 secretGITHUB_TOKENexport ="your_github_token"
configLOG_LEVEL
configSSE_ENABLED
configSYNC_ENABLED
configTEST_NAME_PATTERN
configWEBHOOK_PORT
🔐 secretWEBHOOK_SECRET
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

49/49 tools missing one or more hints — create_project (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_projects (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_project (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +46 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Shell command execution

2 child_process/subprocess calls in production code — runs shell commands (debug-mcp.js:10, debug-simple.js:10)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Secrets never reach shell commands

2 secret values passed to shell commands — possible command injection

Never pass secrets through shell commands. Use library APIs that accept credentials as arguments.

Secrets not logged

2 secret values sent to console.log

Redact or omit secret values from log output.

Production dependencies are patched

0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.0 (high), @modelcontextprotocol/sdk@1.12.0 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 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 Verified](https://m8ven.ai/badge/mcp/harshkumarsharma-mcp-1amlov?variant=verified)](https://m8ven.ai/mcp/harshkumarsharma-mcp-1amlov)
Shows verification status without the grade. Want the grade badge instead? Remove ?variant=verified from the URL.
commit: 5e863bd3dd5eeb40628a1c6c9ba45a9007c7c7e1
code hash: 9103d8bd053c1122af1a9535de7269a1566492031fc9402912957f11530aaeb8
verified: 8/19/2026, 8:28:51 AM
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