16 Instagram endpoints. Pay per call in USDC via x402.
15 Reddit endpoints. Pay per call in USDC via x402.
13 TikTok endpoints. Pay per call in USDC via x402.
15 Twitter / X endpoints. Pay per call in USDC via x402.
4 Yelp endpoints. Pay per call in USDC via x402.
15 YouTube endpoints. Pay per call in USDC via x402.
111 web-data endpoints across 11 services. Pay per call in USDC via x402.
Search agent-ready sites or fetch one site's report; every capability probe-verified, dated.
Email A/B tests for AI agents: subject lines, managed sends, open/click tracking, and results.
Persistent file storage for AI agents via MCP and curl. Upload, download, and version files.
The Others — an agentic t-shirt shop. Browse products and buy t-shirts via AI agents.
Score two AI outputs, get exact failure reasons, and issue a $0.01 USDC receipt via x402.
Create, test and play AI-native games through server-authoritative contracts.
Audit lead-delivery workflows, find reliability gaps, and generate a LeadProof integration plan.
AI-agent probability research with one-call preflight and human-gated XRP activation.
Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.
AI battery search & first AI-agent booking for car battery replacement (EU/SK). By benben.sk.
Build, run, and inspect iOS apps in disposable hosted Simulators from cloud coding agents.
Check whether AI agents can read any website: 18 deterministic checks, each with its fix.
The commercial record your coding agent works from — deterministic pricing with full provenance.
Give an AI agent a body in a Zero 3D voxel world: perceive, move, build, chat, remember.
Paid remote MCP for persistent AI agent memory, analytics, checkout, and search-readiness.
Paid x402 MCP utilities for Base-USDC balances, blocks, gas, HTTPS headers, and agent profile bios.
Paid remote MCP for LLM security scans, jailbreak checks, analytics, checkout, and readiness.
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.