"sql server" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Conformance checker for MCP servers. Free, no key, verdicts recomputable and re-measured daily.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Whether a registry MCP server works for a stock client, and what changed in its tools. Free, no key.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
AI-callable tools for API mocking, testing, monitoring, security, and automation.
Test HTTP 429/503 retries and Retry-After with server-observed traces; share synthetic findings.
MCP server for visual regression testing: triage a PR's UI diffs from your coding agent.
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
Check what a paid x402 endpoint or MCP server delivered, from probes anyone can repeat.
Class Q Checker: the site's own MCP server — checker, enquiry (enquiry = a human handoff, not a...
Smoke Control Checker: the site's own MCP server — checker, enquiry (enquiry = a human handoff,...
Ephemeral mailboxes and a mock OAuth IdP for testing email and auth flows — 39 API-driven tools
SQL single-quote escape count, input discarded
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
Exposes FEDLIN's public security scanners as agent-callable tools over Streamable HTTP.
MCP server: NEED + YIELD + CLEAN-MONEY gates with EIP-3009 attestations · Hive Civilization
Find MCP servers and check whether they actually respond, via live handshake probes.
Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
