"Testing Library" matching MCP servers:

FastMCP server for managing and testing webhooks via webhook-test.com API

An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.

Enables building, validating, describing, and conformance-testing TTEOP telemetry envelopes through the Model Context Protocol.

A Model Context Protocol server providing network diagnostic tools for AI agents, including connectivity testing, batch operations, local network info, and pcap analysis.

An MCP server that emits OpenTelemetry traces, metrics, and logs to OTLP endpoints in various formats. It includes tool-mimicry profiles to generate realistic traffic resembling common tools like nginx, postgres, and AWS Lambda for testing and demonstration purposes.

A chaos-engineering and resilience-testing toolkit for Model Context Protocol servers, enabling deterministic fault injection and testing of reliability scenarios.

A specialized diagnostic framework that enables AI models to self-diagnose and fix MCP-related issues by analyzing logs, validating configurations, testing connections, and implementing solutions.

Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.

Enables natural-language access to Sentry's skill library for setup, instrumentation, debugging, alerts, releases, stack traces, OpenTelemetry, and Cocoa snapshots, plus bounded issue triage, guarded remediation, and release-lineage workflows.

Remote MCP server enabling AI agents to manage the MaxoPerf performance testing platform via natural language, including creating tests, launching cloud load runs, viewing results, and diagnosing failures.

Enables AI assistants to perform chaos engineering and resilience testing on Kubernetes clusters through Chaos Mesh. Supports creating and managing 24 types of chaos experiments including network failures, stress tests, pod disruptions, and I/O faults through natural language conversations.

Enables DNS and email security analysis through passive and active scanning capabilities. Provides comprehensive domain security checks including SPF, DMARC, DNSSEC validation, MX record analysis, and SMTP connectivity testing.

Enables coding agents to inspect recorded browser flows—including user actions, network activity, console output, storage, DOM events, and screen recordings—for debugging, bug reporting, and regression testing without reproducing the issue.

Enables coding agents to access recorded browser flows—including user actions, network, console, storage, DOM events, and screen recording—for debugging, bug reporting, and regression testing without reproducing issues. It also supports shareable flows via an access token.

A stateless MCP server for incident lab operations, exposing MCP and health endpoints, with conformance testing.

Enables coding agents to access complete browser flow recordings—including user actions, network traffic, console logs, storage, DOM events, and screen recordings—so they can debug issues and perform regression testing without reproducing them manually. It also supports sharing captured flows via access tokens for team collaboration.

Enables querying and managing AI logs through tools like listing logs, retrieving jobs, and performing AI-powered chat queries. Also provides access to gateway security reports and guardrail testing.

Enables coding agents to access full browser context from recorded user flows, including actions, network, console, storage, DOM events, and screen recordings, so they can debug issues and perform regression testing without manual reproduction.

An MCP server exposing Kubernetes-style diagnostic tools to an LLM agent, with a safety approval gate for destructive actions, all backed by a mock cluster for local testing.

Exposes Wireshark/tshark packet capture, analysis, threat detection, and reporting tools for AI agents and local testing.