playwright-min-network-mcp
MCP ServerFreeMinimal network monitoring MCP tool for Playwright browser automation
Capabilities6 decomposed
network-request-interception-and-logging
Medium confidenceIntercepts HTTP/HTTPS network requests made during Playwright browser automation by hooking into the browser's network event stream, capturing request metadata (URL, method, headers, body) and response data (status, headers, body) without modifying page behavior. Uses Playwright's built-in request/response event listeners to create a minimal logging pipeline that streams network activity to the MCP client for real-time inspection.
Minimal MCP wrapper around Playwright's native network event API that avoids heavy dependencies or proxy overhead, exposing raw request/response events directly to MCP clients for integration into LLM-driven testing workflows
Lighter and more direct than full HAR recording tools or proxy-based solutions; integrates natively with Playwright's event model without requiring external proxy servers or complex setup
network-response-body-capture
Medium confidenceCaptures and stores the full response body content (HTML, JSON, binary data) for each network request, using Playwright's response.body() or response.text() methods to extract payloads after the response is received. Implements optional filtering to exclude large binary responses (images, videos) and provides structured access to response content for assertion and analysis.
Provides direct access to response bodies through Playwright's native APIs without requiring proxy interception or HAR parsing, enabling LLM agents to reason about actual server responses in real-time
More direct than HAR-based approaches and avoids proxy overhead; integrates seamlessly with Playwright's async/await model for synchronous body access
network-request-filtering-and-routing
Medium confidenceFilters network events based on configurable criteria (URL patterns, HTTP methods, content-type headers, domain whitelist/blacklist) to reduce noise and focus monitoring on relevant traffic. Implements pattern matching using regex or glob syntax to route different request types to different handlers or storage backends, enabling selective logging without capturing all network activity.
Implements lightweight, declarative filtering at the MCP level rather than requiring proxy configuration or HAR post-processing, allowing LLM agents to define and adjust monitoring scope dynamically
More flexible than static HAR recording and simpler than proxy-based filtering; integrates directly with Playwright's event model for immediate filtering without external tools
network-timing-and-performance-metrics
Medium confidenceExtracts timing metrics from network requests including request duration, time-to-first-byte (TTFB), DNS lookup time, and connection establishment time using Playwright's request/response timing data and HAR-compatible timing objects. Aggregates metrics across requests to compute summary statistics (average, p95, p99 latency) for performance analysis and bottleneck identification.
Provides direct access to Playwright's native timing data without requiring external performance monitoring tools or synthetic monitoring services, enabling LLM agents to reason about performance in real-time during test execution
Integrated directly into Playwright's event stream, avoiding overhead of external APM tools; enables performance assertions as part of automated test logic rather than post-test analysis
mcp-network-event-streaming
Medium confidenceExposes network monitoring capabilities as MCP tools and resources, allowing LLM clients to subscribe to real-time network events, query historical network logs, and trigger network monitoring on-demand. Implements MCP resource endpoints for accessing captured network data and tool endpoints for controlling monitoring behavior (start, stop, filter, export), using stdio transport for communication with LLM agents.
Bridges Playwright network monitoring and LLM agents through MCP protocol, enabling agentic workflows that reason about network behavior and make test decisions based on real-time network data
Enables LLM agents to directly access network data without manual log parsing or external tools; integrates with MCP ecosystem for seamless agent integration
network-error-and-failure-detection
Medium confidenceDetects and categorizes network failures including failed requests (4xx, 5xx status codes), connection errors, timeouts, and protocol violations by analyzing response status codes and error events. Provides structured error metadata (error type, status code, error message) and enables filtering to focus on failure scenarios for debugging and test assertions.
Provides lightweight error detection integrated into Playwright's event stream without requiring external error tracking services or log aggregation, enabling immediate error analysis during test execution
Simpler and more direct than external error tracking tools; enables error assertions as part of test logic rather than post-test analysis
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓QA engineers and SDETs building test suites that need to validate backend API interactions
- ✓developers debugging integration issues between frontend and backend services
- ✓teams implementing network-aware test assertions and performance monitoring
- ✓test engineers validating API response schemas and data correctness
- ✓developers debugging content delivery and rendering issues
- ✓teams implementing data-driven test assertions based on network responses
- ✓teams running long-running test suites that generate high network traffic volume
- ✓developers focusing on specific API interactions without noise from third-party services
Known Limitations
- ⚠Cannot intercept or modify requests in-flight — logging is passive observation only
- ⚠WebSocket and Server-Sent Events traffic may not be fully captured depending on Playwright version
- ⚠Large response bodies can cause memory overhead if not filtered; no built-in sampling or truncation
- ⚠Network timing data (latency, DNS lookup time) is limited to what Playwright's HAR format exposes
- ⚠Response body is only available after the full response is received — cannot stream or partially read large payloads
- ⚠Binary response bodies (images, PDFs, video) require base64 encoding, increasing memory and transmission overhead
Requirements
Input / Output
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Minimal network monitoring MCP tool for Playwright browser automation
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