mcp-perf-tools
Provides performance analysis tools for AI agents, including JavaScript benchmarking, memory analysis, complexity estimation, bundle analysis, and load testing.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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rog0x
Source: Glama
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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.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
benchmarkBenchmark JavaScript code execution. Run a snippet N times and measure min/max/avg/p95/p99 time and ops/sec. Optionally compare two implementations.
memory_analyzeAnalyze Node.js memory usage: heap used/total, RSS, external, array buffers. Tracks snapshots over time and detects potential memory leaks via growth trend analysis.
big_o_estimateEstimate Big O complexity from empirical data. Provide input sizes and corresponding execution times to get the best-fit complexity class (O(1), O(log n), O(n), O(n log n), O(n^2), O(n^3), O(2^n)) with confidence scores and growth curve.
bundle_analyzeAnalyze a JavaScript bundle file: raw size, gzip estimate, detected modules, largest modules, and tree-shaking opportunities.
load_testRun a simple HTTP load test: send N concurrent requests to a URL, measure response times, error rate, throughput (req/sec), and percentile latencies.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
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
5/5 tools missing one or more hints — benchmark (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); memory_analyze (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); big_o_estimate (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 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
Only 2/5 tool handlers declare input schemas (40%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tests exist
No test files found
Add tests that exercise each declared tool.
No eval / new Function
1 eval() or new Function() call — dynamic code execution
Replace eval / Function with explicit parsing or safer alternatives.
Shell command execution
4 child_process calls — runs shell commands
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.1 (high), @modelcontextprotocol/sdk@1.12.1 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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