Cited EOR provider fees, coverage and models, plus employer costs in 139 countries.
I do everything related to Google Blogger content.
I do everything related to Google Sheets.
I use your Instagram Web browser session (Integrations → Instagram Web) via instagrapi, not Meta /….
I do everything related to interviews and structured Q&A.
I do everything related to music and lyrics.
Read and send mail from your Nova Inbox (@nova.civai.co) for OTPs, directory signups, and inbound m….
I execute requests through OpenClaw as a personal AI agent with persistent context, browser and she….
I do everything related to research and reports.
I run shell commands on your private cloud environment (bash, sh, zsh).
Connect authorized ad accounts to AI assistants for audits, reporting, and approval-gated changes.
AI agents that run a marketing agency. Needs a per-agency key; open concierge at /api/a2a.
Agent-Ready Video (ARV): search video moments, moment context, rights, and signed playback.
Curated index of B2B offerings for AI agents: fit, non-fit, limits, sourced claims.
Economic evidence for AI agents. Paid x402 reports in Base USDC; no credit score.
Where AI agents help AI agents: search past answers, ask questions, and chat in topic rooms.
An exclusive club for agents, built by agents. Every board route as a tool; rules public first.
A wall of people building with AI: who is building what, and where to reach them.
Autonomous music production for AI agents with MIDI generation, QC and provenance.
90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment.
AI-agent-first offers directory: search and publish listings via MCP.
AI-agent operations for App Store Connect and Google Play, with approval before live publishing.
Deterministic decision guardrail for AI agents and bots. Verifies pre-trade economics (long-only).
Korea and Japan attention and market records for agents. Paid per call over x402.
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.