{"id":"groovy-web-ai-testing-mcp","name":"ai-testing-mcp","homepage":"https://www.groovyweb.co","repo_url":"https://github.com/groovy-web/ai-testing-mcp","category":"ai-ml","subcategories":[],"tags":["ai-ml","testing","evaluation","mcp","model-context-protocol","quality-assurance","security-testing","typescript","automation"],"what_it_does":"A self-hosted MCP (Model Context Protocol) server that provides tools to run AI test suites (unit/integration/performance/security/quality) and evaluate model outputs using various metrics. It is configured to use external model providers (e.g., OpenAI/Anthropic) via environment variables and exposes MCP tool definitions such as run_test_suite, evaluate_output, and generate_test_cases.","use_cases":["Automated evaluation of LLM outputs for accuracy/quality/safety","Regression testing of AI/ML systems across test categories and metrics","Generating and running test cases for prompt/agent scenarios","Performance benchmarking (latency, throughput, token usage)","Security testing such as prompt injection/jailbreak/bias/toxicity checks"],"not_for":["Production-grade managed testing SaaS (it appears intended to be self-hosted)","Use cases requiring a public REST/GraphQL/SDK API without an MCP client","Environments that cannot securely store and use third-party API keys (for model providers)","Compliance regimes that require documented SLAs, audit logs, and formal security posture (not evidenced in provided materials)"],"best_when":"You have an MCP-capable toolchain and want to integrate AI testing/evaluation workflows directly into that agent context, with self-managed infrastructure and model-provider credentials.","avoid_when":"You need turnkey hosted service guarantees, strict documented rate-limit and error-retry semantics, or you cannot handle outbound calls to external LLM providers securely.","alternatives":["Model Context Protocol SDKs and custom MCP tool implementations","Specialized open-source LLM evaluation frameworks (e.g., RAGAS, lm-evaluation-harness style approaches)","Managed LLM evaluation platforms (various vendors)","Custom scripts using provider APIs plus a metrics/evaluation library"],"af_score":51.8,"security_score":43.2,"reliability_score":7.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:35:00.797119+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Environment variables for upstream LLM providers (e.g., OPENAI_API_KEY, ANTHROPIC_API_KEY)"],"oauth":false,"scopes":false,"notes":"Authentication/authorization for the MCP server itself is not described in the provided README; only upstream provider API keys via .env are mentioned."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing model for the MCP server is provided; cost would primarily be external LLM provider usage and any compute for running tests."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":51.8,"security_score":43.2,"reliability_score":7.5,"mcp_server_quality":60.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":75.0,"rate_limit_clarity":20.0,"tls_enforcement":60.0,"auth_strength":45.0,"scope_granularity":20.0,"dependency_hygiene":40.0,"secret_handling":50.0,"security_notes":"Strengths inferred from standard practice: keys are configured via environment variables (.env.example shown). Weaknesses/unknowns: no MCP server auth/authorization described; TLS/encryption requirements for the MCP server endpoint are not documented; no information on logging/redaction, dependency audit, or threat model. Because it performs security/prompt-injection testing, be mindful that it will handle potentially adversarial inputs/outputs.","uptime_documented":0.0,"version_stability":0.0,"breaking_changes_history":0.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":"Not documented whether tools are idempotent; repeated calls may re-run evaluations and incur provider costs.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Tool schemas are shown only for a subset of tools; some expected/optional inputs and output shapes are not fully documented in the provided README.","Authentication for the MCP server itself is not documented; ensure the server is configured safely for your environment.","Running tests may trigger calls to external model providers (provider API keys required), which can be costly and rate-limited.","Idempotency and safe retries are not documented; agent retry behavior could duplicate expensive runs."]}}