Scan, export, and import your AI ecosystem. Discover MCP servers, skills, and memories.
MCP server for browser automation via Vercel's agent-browser CLI.
Anthropic Claude Fable 5 MCP server — top-tier planning and code critique for handoff.
MCP server for Google Gemini image generation and editing.
MCP server for OpenAI GPT image generation and editing.
MCP server for Grok image generation and editing.
MCP server for Google Nano Banana (Gemini) image generation.
Secure Python sandbox for data optimization and Matplotlib rendering via x402 microtransactions.
Deterministic context selection for AI coding agents. Local memory that compounds across sessions.
Kiln MCP server for agents: design, slice, print, monitor, and recover physical objects safely.
A Model Context Protocol (MCP) server for process management.
API governance for AI agents. Detects breaking changes, scores blast radius, blocks unsafe calls.
MCP server for Adyen Checkout API v71 — enterprise payments (iFood, Uber, Spotify in LatAm).
AFIP — Argentine tax authority, electronic invoicing (Factura Electrónica).
MCP server for Airwallex — cross-border collection + payouts, global accounts, FX, transfers.
Alegra — cloud accounting for LATAM (Colombian-founded).
MCP server for Amazon Selling Partner API (SP-API) — orders, listings, catalog, inventory, finances.
Andreani — Argentine courier and logistics.
MCP server for AP2 — Google's Agent-to-Agent Payment Protocol (authorization, audit, trust).
MCP server for Asaas — billing automation, Pix, boleto, credit card, subscriptions.
MCP server for Banco do Brasil — Pix, Cobrança (boleto), Conta-Corrente, Arrecadação (OAuth2 + mTLS).
BCRA — Argentine Central Bank public data (exchange rates, inflation, reserves).
Belvo — Open Finance aggregator for LATAM.
MCP server for BigDataCorp — Brazilian data enrichment + KYC (CPF/CNPJ/vehicle/property/antifraud).
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.