"Payments" matching MCP servers:

This MCP server enables AI agents to search and retrieve exact, cited passages from a large corpus of public-domain books, including full-text search, book metadata, chapters, quotes, and 'ask book' Q&A. Payments are handled via x402 micropayments on Base.

An MCP server that transforms SKILL.md files into executable tools for AI agents, allowing them to discover and pay for services via the x402 protocol. It supports automatic payments on Stellar and EVM networks, enabling seamless integration of premium API skills.

Enables AI agents to retrieve up-to-date documentation for Russian services (payments, fiscal receipts, messengers, CRM, data/SMS/AI, 1C) and the verified integration pitfalls tied to each topic, with links back to the original sources. Documentation is indexed locally and refreshed automatically, so agents can resolve libraries, fetch topical fragments, and pull gotchas on demand.

Enables AI agents to autonomously browse inventory, negotiate terms, manage carts, and execute secure payments on Shopify stores using standardized protocols. It provides a bridge for LLMs to handle the entire commerce lifecycle from discovery to order tracking through a verifiable mandate chain.

An MCP server providing 22 pay-per-call utility tools for AI agents (scrape, validate, embed, store, moderate, notify, convert, prevent loops) without accounts or API keys, using USDC payments via the x402 protocol.

Enables AI agents to run 700+ backend actions across data, auth and RBAC, payments and wallets, CRM, hosting, RAG, bots, scheduling, and automation through a single execute tool, remotely or via a stdio bridge.

A production-grade, LLM-agnostic MCP server that integrates AI models with tools for managing subscriptions, organizations, and payments via the Updation API. It features Redis-backed conversation memory, structured logging, and role-based access control for secure, scalable orchestration.

A local MCP server that helps the Payments team by querying microservice specs, payment flows, triaging CS tickets with GCP analysis, and calling Stark Bank APIs in development/sandbox environments.