"An Introduction to the Python Programming Language" matching MCP connectors:

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.

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.

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

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

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Test the voice agents you run: scored transcripts, pass/fail verdicts, latency and WER metrics.

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

MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes

PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.

Pay-per-call MCP server. Vetted human experts review AI-generated content (text, images, video, audio, social posts), audit reasoning chains, run prepublish safety checks, and gate high-stakes actions for human approval. 7 paid tools at $1.00 each plus 4 free tools (list_offerings, list_expert_profiles, get_result, verify_certificate). Payment via x402, USDC on Base mainnet. Approved outputs receive an on-chain Taste content certificate downstream agents verify before consuming.

The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.

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.

Test-inbox API for email and SMS: create inboxes, long-poll messages, extract OTPs and links. 34 tools; bearer auth with an mfx_ API key (free tier).

Drive real Android & iOS devices and web browsers from natural language for mobile + web QA. 145+ tools across device control, app management, automation sessions, browser automation, and flow recording / replay. Bearer-auth — get a token at robotactions.com → Profile → API Tokens.

MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.

Check AI work against requirements and return structured verdicts, findings, and repair steps.

MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.

MCP server for the VerifyAX platform. Enables agent evaluation, simulation testing, and functional/non-functional verification workflows through natural language.