"An explanation or exploration of reasoning" 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.
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).
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.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
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.
Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.
X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.63
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.
Ensemble testing of web pages for accessibility, usability, and standards conformity
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.
Resolve whether an uncertain side-effecting action completed before software retries it.
