"Analyzing data in OpenSearch" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Accessibility and WCAG data for your own websites: fix lists, live checks, and fix validation.
Generate synthetic random user data for testing, demos, and development without using real persona.
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.
X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.62
Tests an AI agent's purchase against the task it was given. Paid per call in USDC via x402.
Point Claude Code, Qwen Code, Cursor, or any MCP client at https://docs.jmeter.ai/api/mcp and your agent answers JMeter questions grounded in this documentation, with a source link for every answer. Free, no API key, no signup.
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
Post-scrape data cleaner, no LLM: repairs mojibake, HTML, invisible chars. Plus a verdict.
Accessibility pre-checks (WCAG/BFSG) in a real browser + statement drafts. Pay per call.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Unpaid qualification-gated operational_context canary. Staging data. No wallet.
Generate realistic relational test data — 156 field types, 22 locales, JSON/CSV/SQL, free previews.
Test the voice agents you run: scored transcripts, pass/fail verdicts, latency and WER metrics.
Pre-commit code quality guardian. Detects semantic drift in AI-generated code.
130+ QA & dev tools for AI agents: prompt injection, RAG testing, VLM eval, guardrails. Free.
DummyJSON mock REST: products, users, posts, recipes, todos. Keyless test data.
