"An overview or resources related to Big Data" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Parse WebVTT, SRT, or TTML for conformance, timing, overlaps, line length, and reading speed.
Diagnose why an AI agent failed and get the verified fix instantly. Free, no token.
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.
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.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
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
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Kilotest leverages 10 rule engines to test web pages for front-end quality (accessibility, usability, and standards conformity) and report results with specifiable granularity.
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.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
What is known to be broken in an MCP server or API operation, with the check that found it.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Explore Upforge services and evidence, or submit a prototype for a human-approved static fit check.
Test an email before it goes out: a disposable address, 41 checks with RFC citations, a fix plan.
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.
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.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
Compare two versions of a JSON row list: what was added, removed or changed, field by field.
