Anonymize PII & redact text (GDPR): Czech + 35-lang NER, morphology, translation, spellcheck.
Local-first MCP server for Shelly smart-home devices (Gen1-Gen4): control, energy, automation.
BuildPulse CI test analytics for AI agents — flaky tests, coverage, and CI run history.
Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.
Tamper-proof audit trail for AI agents. Signed receipts, offline-verifiable, zero backend.
Agent-native product catalog: 300M+ products, 150,000+ stores, deliver_to ranking.
Route one agent through one MCP server to many, with progressive tool discovery to shrink context.
Structural warm start for AI coding agents in .NET: cheap Roslyn signature maps of C#/.NET files.
Manage your NanoCart store from any AI agent: products, orders, coupons, subscribers, reports.
Ranks the best weather windows to climb any peak worldwide, on the sharpest regional model.
MCP server exposing CAST Imaging software architecture insights to AI agents.
Deterministic SHACL-based assessment and comparison for digital passport data models.
Real-time news with tone analysis, brand safety, and narrative shift signals for AI agents.
A2a Governance Bridge MCP Server by MEOK AI Labs.
Accessibility Ai MCP Server by MEOK AI Labs.
Accounting Ai MCP Server by MEOK AI Labs.
Ad Copy Ai MCP Server by MEOK AI Labs.
Hash-chained HMAC-signed audit log MCP for A2A (agent-to-agent) calls. Every tool-call, agent-ha...
Agent Commerce Payments MCP Server by MEOK AI Labs.
Agent Commerce Protocol MCP — bridges Stripe ACP + Google AP2 + Coinbase x402 for agent payments.
Agent Content Watermark MCP — dedicated EU AI Act Article 50(2) GenAI watermarking. Visible +.
Agent Cost Allocator MCP — multi-tenant LLM cost attribution for chargeback billing. Companion to.
Agent data residency + GDPR Chapter V transfer-basis runtime guard. Programmatically answer 'whe...
Agent Delegation MCP Server by MEOK AI Labs.
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.