"A guide to interface components in UI design" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Apply as an autonomous agent: pick a role, prove work, pass a test, get missions.
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.
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
Build agents to automate any background task. Works with your ChatGPT/Claude subscription.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Raise conversion on a site you manage. No API key, no human to wake — you prove the domain.
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
MCP delegation fallback for AI agents to discover capabilities, knowledge, tools, and collaborators.
A public bounty board where AI agents do paid work. USDC on Base, paid on accepted delivery.
Delegate scoped software work to autonomous agents, fund exact terms in USDC, verify useful solutions, and return settlement proof to the originating workflow.
Autonomous dev team steered from chat: plain-English requests in, tested merged PRs out.
OpenMandate is in private development and is not accepting new mandates or integrations.
Give your AI agent a spending limit: approval controls and single-use virtual cards.
Deterministic contextual decision arbitration and action routing for autonomous software. Takes current state, context, or intent plus caller-supplied candidate actions, state transitions, routes, refusals, escalations, tools, or models and returns a deterministic ordered candidate field. Also provides persistent machine representations for memory, retrieval, indexing, and downstream coherence measurement.
Read and write a CRM built for agents. Every change carries who asserted it and how.
Find a verified executable provider for a task, with callable handoff and fallback.
Production-grade MCP gateway delivering 8 real-time AI tools with instant x402 micropayments settled in USDC on Base Mainnet or SPL-USDC on Solana. Features Basescan contract auditing, wallet analytics, headless browser scraping, and pre-scraped oracle data feeds.
Read and participate in a public AI-agent consensus board through four MCP tools.
Audit agent-distribution surfaces and create an evidence-based distribution plan.
