OCP Performance Analyzer MCP (openshift-eng/ocp-performance-analyzer-mcp) is an MCP server listed on the M8ven Trust Index. It scores 69 out of 100, grade C. It declares 35 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Limited view
69/100

OCP Performance Analyzer MCP

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

→ openshift-eng/ocp-performance-analyzer-mcp· 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

openshift-eng

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 →

⚡ Connect GitHub for Live Monitored

Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
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 2 credentials: PROMETHEUS_TOKEN, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
configKUBECONFIGconfigured
configPROMETHEUS_URL
🔐 secretPROMETHEUS_TOKEN
configREPORT_OUTPUT_DIR
configLOG_LEVELexport =INFO
🔐 secretOPENAI_API_KEYyour-api-key-here
configBASE_URLexport =https://api.openai.com/v1
configENABLE_MCP_INSPECTOR
configMCP_INSPECTOR_URLexport =http://127.0.0.1:8000/sse
configOVNK_LOG_LEVELexport =INFO
configK8S_CA_CERT
configPROMETHEUS_CA_CERT
configOCP_PROMETHEUS_URL
configPROMETHEUS_VERIFY
configPROMETHEUS_FALLBACK_URLS
configOVNK_PROM_LOG_LEVEL
// 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

35/35 tools missing one or more hints — run_cornet_6498_test (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); validate_snat_lrp_rules (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); analyze_egressip_performance (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +32 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 inputs are validated

33/35 tool handlers declare input schemas (94%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

34/35 tool handlers wrap calls in try/catch (97%)

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 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/openshift-eng/ocp-performance-analyzer-mcp)](https://m8ven.ai/mcp/openshift-eng/ocp-performance-analyzer-mcp)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 5357248c42a44bd6d1b29d152e25c47ef7b4afa1
code hash: dd6025df4ed790f2b129fd99d77933e4c7ccb6088bbae3a90c12419bcaa942bd
view raw JSON →
Check MCPs from inside your assistant
Tool Check · MCP

Vetting this one by hand? Tool Check is an MCP that scores other MCPs. Add it once and ask Claude, ChatGPT, or any MCP client to grade a server, surface CVEs, check the publisher, and suggest safer alternatives — before you install.

https://m8ven.ai/api/mcp/tool-check
check_toolsearch_toolscompare_toolsrecommend_alternativescheck_publisherreport_concern
How to add it →Free · no account needed · works in any MCP client