har-mcp
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Alternatives to har-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables an AI agent to analyze browser HAR exports, break down request timing, identify dominant phases and critical request chains, render ASCII waterfalls, and safely redact secrets before analysis.MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to locally parse and analyze HAR files through read-only MCP tools, including searching requests, discovering endpoints, tracing values, detecting auth and API patterns, comparing requests, and exporting redacted cURL commands.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to call web APIs extracted from HAR files, turning browser traffic into MCP tools.17 npm1MIT
- FlicenseNot gradedqualityDmaintenanceCaptures website HAR data via headless Chromium and provides 20 tools for performance/security auditing, API reverse engineering, and code generation.-
- AlicenseAqualityDmaintenanceAn MCP server for parsing and analyzing HAR files, enabling AI assistants to inspect network traffic with automatic redaction of sensitive authentication headers.7MIT
- AlicenseNot gradedqualityDmaintenanceAudits HAR captures locally with MCP tools for triage, findings, vendor blast radius, CSP generation, and sanitization—no network calls, redacted by default.119 npm1MIT
TDQS
Scored across 7 tools
Each tool has a distinct role in the HAR workflow: overview, slowest requests, failed requests, discovery, single-request detail, timeline visualization, and sanitization. Although find_requests overlaps conceptually with slowest_requests and failed_requests, their outputs and intended use are clearly differentiated.
All names use snake_case and are readable, but they mix noun-phrase names (har_overview, slowest_requests, failed_requests, request_detail, waterfall) with verb-phrase names (find_requests, redact_har). The convention is not a single predictable pattern, though it remains understandable.
Seven tools is well-scoped for HAR analysis, covering discovery, drill-down, visualization, and sanitization without redundant endpoints. Each tool earns its place and supports a clear step in the analysis workflow.
The surface covers the full practical lifecycle for examining and sharing a HAR: high-level summary, bottleneck and failure inspection, request lookup and detail, page-load visualization, and safe redaction. No obvious operational gap remains for the stated purpose.