"How to connect to my AWS accounts" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.
Free platform to test MCP clients without installing anything. Create mock tools with dynamic templates, configurable delays, conditions (if/then), and response sequences. Supports JSON-RPC 2.0 over Streamable HTTP. Built-in text_echo and json_echo tools. Rate-limited tiers: anonymous (5 calls/min, 1 mock tool), registered (10 calls/min, 4 mock tools), premium (60 calls/min, unlimited). Zero setup — no install, no registration required. More info: https://www.testmcp.dev
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
Lint your robots.txt and see which AI crawlers it really blocks. Free, no key, nothing to install.
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
Kilotest leverages 10 rule engines to test web pages for front-end quality (accessibility, usability, and standards conformity) and report results with specifiable granularity.
Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.
Verifies AI agent work end to end: real artifacts and outcomes checked, not self-reported success.
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
Validate up to 75,000 URLs per job (status, redirects, response times). OAuth 2.1.
MCP-native AI browser testing for coding agents. Submit a URL + goal, get back action trail, bugs, screenshots, and WebM video your agent patches from directly. 43 tools, 12 AI evaluation personalities, combo tiers with auto-pause-on-bugs, throwaway email + SMS inboxes.
End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.
MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
## Skill Catalog The library contains 42 public skills organized by Rails development concern. | Category | Examples | |----------|----------| | Planning | `create-prd`, `generate-tasks`, `plan-tickets` | | Testing | `plan-tests`, `write-tests`, `test-service`, `triage-bug` | | Code quality | `code-review`, `respond-to-review`, `security-check`, `refactor-code` | | Architecture and DDD | `define-domain-language`, `review-domain-boundaries`, `model-domain`, `review-architecture` | | Rails imple
SeaOtter dispatches work to a Superteam and checks the delivered outcome before money moves.
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
Direct access to Cypress tests results and accessibility reports in your AI workflow.
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
