"Cursor Not Losing Memory or State" 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.
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.
Test curl retries locally or inspect remote 429/503 Retry-After traces; optionally share findings.
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.
Explore Upforge services and evidence, or submit a prototype for a human-approved static fit check.
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.
Verify artifacts, hand off public state, and record, check and find evidence about capabilities.
Compare two versions of a JSON row list: what was added, removed or changed, field by field.
Test FIX from Claude, ChatGPT, or Cursor: free sandbox FIX sessions or your own FIXSIM instances.
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...
Deterministic operations reconciliation for AI agents: COMPLETE, INCOMPLETE, or NEEDS_REVIEW.
Production proofs for breaking JSON Schema/MCP changes; UNKNOWN/NO_WITNESS_FOUND not compatible.
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
Pixel-perfect webpage screenshots rendered in a real browser, full-page or viewport, via one POST.
PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
Verifies AI agent work end to end: real artifacts and outcomes checked, not self-reported success.