"Resources or examples for coding in iOS Swift" matching MCP connectors:

Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.

Drive real Android & iOS devices and web browsers from natural language for mobile + web QA. 145+ tools across device control, app management, automation sessions, browser automation, and flow recording / replay. Bearer-auth — get a token at robotactions.com → Profile → API Tokens.

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).

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.

A webhook inbox for agents: one call returns a live URL. Mock, verify, inspect and replay.

Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

Deterministic validation for AI-generated artifacts: JSON Schema, OpenAPI response, SQL syntax.

Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.

Hire a real human for real-world verification, product testing, AI output review, and errands.

Promotion gate for AI agents: leakage audits, exact-statistics verdicts, and a live report card.

Generate deterministic placeholder image URLs and packs for docs, staging, testing, and AI agents.

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes

Scan URLs for WCAG 2.1 violations, generate AI fixes, and produce VPAT 2.5 compliance reports.

MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.

Adversarial behavioural-bias engine — audits your decisions for cognitive biases via your own AI.