Build decks in your own brand, from the AI agent you already use. Then edit them yourself.
Publish to social channels from your AI agent. Threads is live; nine more await review.
MCP-Server: US BIKE TRAVEL Motorradreisen – Suche, Details, Termine, Preise, Vergleich, Anfrage.
Verifiable backtests for AI-built trading strategies: deterministic engine, reproducible results.
Create and manage waitlists from your AI agent: page, custom domain, emails, signups, broadcasts.
Pay-per-call AI agent utilities via x402 on Base (USDC). 7 tools, $0.003/call.
REST API + MCP gateway for AI commerce: search, catalog enrichment, feeds/GEO, and virtual try-on.
Grounds LLMs in real Latgalian: Wiktionary lemmas, inflections, romanization.
Grounds LLMs in real Latin: Wiktionary lemmas, Morpheus inflections, citations.
Grounds LLMs in the real Livonian dictionary: attested words, inflections, romanization.
Grounds LLMs in real Old Norse: lemmas, mediopassive paradigms, English→Old Norse lookup.
Grounds LLMs in real Scythian: Proto-Scythian lemmas, etymologies, Ossetian/Khotanese descendants.
Grounds LLMs in real Church Slavonic: Wiktionary lemmas, dual-number paradigms, transliteration.
Autonomous AI sales: agents, signal-based prospecting, outreach, CRM — 149 tools.
Amazon Seller Central and Amazon Ads for AI assistants: catalog, orders, FBA, pricing, PPC.
AI agent recruiting: talent pool match, reference checks, credit packs via Stripe MPP.
Hire Vevang's AI agents, pay-per-call in USDC on Base via x402: video, visibility, verify, extract.
EU tenders and grant calls, matched to your company and qualified, inside the AI you already use.
Compute real duty rosters from your AI assistant - rule-based vigotime planner, API key or OAuth.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Evidence-first trust verdicts for AI-agent services — query one before you transact.
Context layer with semantic and visual search and discovery for agentic commerce — by vviinn.
WebforJ's MCP server, provides tools, resources, prompts for scaffolding and developing webforJ apps.
Check whether AI agents can discover, validate, and trust your domain's services.
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.