Branch Diagnostics MCP (Fromzy1/branch_mcp_v2) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

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C
Limited view
71/100
2 months ago

Branch Diagnostics MCP

An MCP server that enables AI assistants to diagnose network and service problems by walking a structured funnel of cURL timing metrics, identifying which hop is at fault, and providing targeted recommendations.

→ Fromzy1/branch_mcp_v2· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

Fromzy1

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glama

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// key findings
✅
4 tools verified — handlers match their declared behaviour
4 read-only tools verified — handlers contain no write/delete/exec
✅
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.
// 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.
configMCP_HTTP1 uv run python branch_diagnostics_server.py # serves on http://127.0.0.1:8000/mcp
configMCP_HOST
configMCP_PORT
// quality suggestions

All four hints declared on every tool

4/4 tools missing one or more hints — diagnostic_categorize (missing: destructiveHint, idempotentHint, openWorldHint); find_metrics (missing: destructiveHint, idempotentHint, openWorldHint); get_data_metrics (missing: destructiveHint, idempotentHint), +1 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.

Tool handlers catch errors

Only 0/4 tool handlers wrap calls in try/catch (0%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

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 3 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/fromzy1-branch-mcp-v2-1mzrna)](https://m8ven.ai/mcp/fromzy1-branch-mcp-v2-1mzrna)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: df9691531b3fc2788b864944dddfb84a83782f13
code hash: 96499617972a062881290e1f28f0640922fce090ca24936926ebb3334102ea02
verified: 6/25/2026, 9:45:43 AM
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