"Techniques to Improve Agent Programming" matching MCP connectors:

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.

Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.

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.

Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.

Exposes FEDLIN's public security scanners as agent-callable tools over Streamable HTTP.

Preflight QA for AI-agent deliverables with structured verdicts and repair guidance.

Deterministic JSON checks with signed evidence and x402-paid execution

Verifies AI agent work end to end: real artifacts and outcomes checked, not self-reported success.

Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.

Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.

Generate realistic relational test data — 156 field types, 22 locales, JSON/CSV/SQL, free previews.

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

Validate up to 75,000 URLs per job (status, redirects, response times). OAuth 2.1.

End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.

Drive OctoPerf load testing from any AI agent — import, edit, validate, run scenarios, read metrics. Hosted remote server, OAuth 2.1 (DCR + PKCE), no API key.

Agentic code review, no signup to try: reality gates + frontier-model review, with veto.

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.